Package: aghermann Version: 1.0.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1510 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.8), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libconfig++9v5, libfftw3-double3, libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.18), libgnutls30 (>= 3.4.0), libgomp1 (>= 4.9), libgsl2, libgtk-3-0 (>= 3.3.16), libitpp8v5, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libsamplerate0 (>= 0.1.7), libstdc++6 (>= 5.2), libunique-3.0-0 (>= 2.90.1), libvte-2.91-0, zlib1g (>= 1:1.1.4) Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_1.0.9-1~nd+1_i386.deb Size: 532718 SHA256: b209ac838c908e2e55a3fd64ab0d0e4f9c5a8afd0b9bbfeda16adaf7abec0f96 SHA1: 0e220fc255ec2d4f4109b5fbc0204e5db01cf35f MD5sum: 0097080afe6484572f8e0b9663e9c4c5 Description: Sleep-research experiment manager Aghermann is a program designed around a common workflow in sleep-research, complete with scoring facility; cairo subpixel drawing on screen or to file; conventional PSD and EEG Micrcontinuity profiles; Independent Component Analysis; artifact detection; and Process S simulation following Achermann et al, 1993. Package: aghermann-dbgsym Source: aghermann Version: 1.0.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10642 Depends: aghermann (= 1.0.9-1~nd+1) Homepage: http://johnhommer.com/academic/code/aghermann Priority: extra Section: debug Filename: pool/main/a/aghermann/aghermann-dbgsym_1.0.9-1~nd+1_i386.deb Size: 10620226 SHA256: d8e5d3d791552719da9294b9fd1ca2fc39864bd242fa93c41d583bbff2fd1c32 SHA1: f5cbbdd0133d34956e093439c8c482f5bddcfd79 MD5sum: 3de5a793f805437bfa0972ba2c558ab1 Description: Debug symbols for aghermann Auto-Built-Package: debug-symbols Build-Ids: 01cfdb00f9aa5f61d3cbeb80d0186051f5490919 1afaf9eca8a76e7edd5527ab323c5964e2112183 47f0ca8f01a260d268e891355c14240a1a799973 607542940933a698d4ed6730ef30ad32e2e9e045 ad15c1d0431d65f1b20e6bd8add8a6b8aa46b7c9 ece0a149884cb3afb6040649a1d96ca2a0369ccd ef94e1e25c4080b20f4db91d7c62face9886910c f1cd13ec9f20924e2790e2340caa4551caeb9757 Package: ants Version: 2.1.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 164178 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.8, libstdc++6 (>= 5.2) Recommends: environment-modules Suggests: fsl, gridengine-client, r-base-core Conflicts: gpe-conf Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: science Filename: pool/main/a/ants/ants_2.1.0-2~nd+1_i386.deb Size: 24407364 SHA256: ec2af6ba9b3c8503da5b4ea45fe87672b68ef8a32e27ac4df73dd2d31c7877fa SHA1: bcf3a6a0fa9c40913e09f8d8396325feb7e985ef MD5sum: ca15ffd3b222dc80e49cc3664b11a073 Description: advanced normalization tools for brain and image analysis Advanced Normalization Tools (ANTS) is an ITK-based suite of normalization, segmentation and template-building tools for quantitative morphometric analysis. Many of the ANTS registration tools are diffeomorphic, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). . This package provides environment-modules configuration. Use 'module load ants' to make all cmdline tools available in your shell. Package: arno-iptables-firewall Version: 1.9.2.k-3~sid.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 844 Depends: iptables (>= 1.2.11), gawk, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, iproute Recommends: lynx, dnsutils Homepage: http://rocky.eld.leidenuniv.nl/ Priority: optional Section: net Filename: pool/main/a/arno-iptables-firewall/arno-iptables-firewall_1.9.2.k-3~sid.nd1_all.deb Size: 132466 SHA256: f27127b8c1dc917c0286a9387f8fa457376ded10b07a5908485636c27a2a14ff SHA1: 696de58c79bec6fd3efa3cf7dbbeecaa18d1ea8e MD5sum: da7a5641d17921fad83cbb534f2ebb22 Description: single- and multi-homed firewall script with DSL/ADSL support Unlike other lean iptables frontends in Debian, arno-iptables-firewall will setup and load a secure, restrictive firewall by just asking a few question. This includes configuring internal networks for internet access via NAT and potential network services (e.g. http or ssh). . However, it is in no way restricted to this simple setup. Some catch words of additional features, that can be enabled in the well documented configuration file are: DSL/ADSL, Port forwarding, DMZ's, portscan detection, MAC address filtering. Package: bats Version: 0.4.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest Homepage: https://github.com/sstephenson/bats Priority: optional Section: shells Filename: pool/main/b/bats/bats_0.4.0-1~nd+1_all.deb Size: 14428 SHA256: 0f03a145105517af6b77b17a29c29136a50d1addd60bd676402ce7c9dab1ec2c SHA1: c946bfca85b5ec6ecc6be6c1ddcb960908fcbaea MD5sum: e14bddbd95bc1a10d6fd2f8fd5cfab64 Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: biosig-tools Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 685 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_1.4.1-2~nd+1_i386.deb Size: 247988 SHA256: 1d439dd296ac281eef5ef2c8238ade1056486eb75edce8c4b0516ce7f0bcd37a SHA1: 569c3f635e6bb5171a99ae9d3a976f3cfbdc09fd MD5sum: aebfad1b8ed18e1a2c7072d800e70057 Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: btrbk Version: 0.22.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, perl, libdate-calc-perl, btrfs-tools (>= 3.14) Suggests: openssh-client Homepage: http://www.digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.22.2-1~nd+1_all.deb Size: 54918 SHA256: c24c259a36afdc0ee018fbe7d89ef4df385ef808a142d49fcd6d35032c3830fb SHA1: 93523012bdf44cd65ffdb35e3b98a56dc949325e MD5sum: 98645303b322a437e4fc7e47e5ca1f12 Description: backup tool for btrfs volumes Backup tool for btrfs volumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations at once, with ssh and configurable retention support (daily/weekly/monthly). Package: btrfs-tools Version: 4.1.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3623 Depends: neurodebian-popularity-contest, e2fslibs (>= 1.42), libblkid1 (>= 2.17.2), libc6 (>= 2.8), libcomerr2 (>= 1.01), liblzo2-2, libuuid1 (>= 2.16), zlib1g (>= 1:1.2.0) Homepage: http://btrfs.wiki.kernel.org/ Priority: optional Section: admin Filename: pool/main/b/btrfs-tools/btrfs-tools_4.1.2-1~nd+1_i386.deb Size: 529008 SHA256: 0724205c72e463a8ae0fdc812a11d5eef393ad31a23fb7e13d71a76140db6238 SHA1: cb61d1901b5dbbe76453cb151f252de8494e0bb5 MD5sum: a497ca48eb2835d8b08186d105d62893 Description: Checksumming Copy on Write Filesystem utilities Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains utilities (mkfs, fsck) used to work with btrfs and an utility (btrfs-convert) to make a btrfs filesystem from an ext3. Package: btrfs-tools-dbg Source: btrfs-tools Version: 4.1.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4762 Depends: neurodebian-popularity-contest, btrfs-tools (= 4.1.2-1~nd+1) Homepage: http://btrfs.wiki.kernel.org/ Priority: extra Section: debug Filename: pool/main/b/btrfs-tools/btrfs-tools-dbg_4.1.2-1~nd+1_i386.deb Size: 3856014 SHA256: 3203916c229b900ea27793fe5b575b206eabb750f51a6e5dc8310fb799f95d6f SHA1: 037f17ecdb02d3c469119bf81e332427f3f4d99d MD5sum: b950952e081161326cfab8073c4befe1 Description: Checksumming Copy on Write Filesystem utilities (debug) Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains the debugging symbols. Build-Ids: 17289c5556ecc99ca538d38f5b854a3f00ffadd6 27e298802ef233f0a17f68b887088c49a888583d 7058ca3a435b2e66a7df04286430366772af4ae7 8cce2e03d712925ca3f859c3f374ea72c7903a07 a78ea8f127c58daf5bf725bda3fbe3823ab3460b b3e6d24672a380487b74547cf5d78579223634e2 c5e77a75b9d5a5bc61a50d4596dea2f68154b4a9 c84a7b4593b1124db198d07ae0ed0eb5e5d2c719 cff09b5b7109fa415de286fb31001a98faae8465 e7739a71e21e201d362cd3d94a1b431769d1b40f e7c01cdc07ab6adc9c40ce91ef77849cd0fbaf16 eecedc61b8c9d07eb9c48300c426bb5b6ff30383 f19eef4d3a11302f4d5a2076b2e781ece02151fa Package: caret Version: 5.6.4~dfsg.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18495 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libminc2-1, libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.6), libvtk5.8, zlib1g (>= 1:1.2.3.3) Recommends: qt-assistant-compat Suggests: caret-data (>= 5.6.2~dfsg.1~) Homepage: http://brainvis.wustl.edu/wiki/index.php/Caret:About Priority: optional Section: science Filename: pool/main/c/caret/caret_5.6.4~dfsg.1-2~nd+1_i386.deb Size: 7452630 SHA256: 8cea5e8614e6aea6b49fdfcba746054592f571157b938228ef4097628898a48e SHA1: 3d8ed30b1e4a9c5759d8e8b369400fcb0d1f1b47 MD5sum: 0078abfcf89b7295fe53c32e338ea582 Description: Computerized Anatomical Reconstruction and Editing Toolkit This software allows for creating, viewing and manipulating surface reconstructions of the cerebral and cerebellar cortex, viewing volumes and for displaying experimental data on the surfaces and volumes. While Caret is primarily a GUI application with 'caret_command' there is also a versatile command line tool, that allows access to a substantial proportion of Caret's functionality. . Caret can download and use stereotaxic atlases (human, monkey, mouse and rat) from an open online database. . Some functionality of Caret is only available when additional data files, provided by the caret-data package, are available. This includes: . - Map volumes to surface via PALS atlas - Multi-resolution morphing - Projection of foci via PALS atlas - Surface-based registration - Surface flattening . Currently the caret-data package is only available from the NeuroDebian repository. Please see http://neuro.debian.net for more information. Package: cde Version: 0.1+git9-g551e54d-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 803 Depends: neurodebian-popularity-contest, libc6 (>= 2.1) Homepage: http://www.pgbovine.net/cde.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1+git9-g551e54d-1~nd+1_i386.deb Size: 138650 SHA256: 4657cad25a469a52f15ea069b82ce2c2d2d44edbfe010dee332d244bb755dc13 SHA1: 55eeec470bbd37a754373669abcb2928bae69bfd MD5sum: bdc06fadac6b0ad8dbb6195013d2a00c Description: package everything required to execute a Linux command on another computer CDEpack (Code, Data, and Environment packaging) is a tool that automatically packages up everything required to execute a Linux command on another computer without any installation or configuration. A command can range from something as simple as a command-line utility to a sophisticated GUI application with 3D graphics. The only requirement is that the other computer have the same hardware architecture (e.g., x86) and major kernel version (e.g., 2.6.X) as yours. CDEpack allows you to easily run programs without the dependency hell that inevitably occurs when attempting to install software or libraries. . Typical use cases: 1. Quickly share prototype software 2. Try out software in non-native environments 3. Perform reproducible research 4. Instantly deploy applications to cluster or cloud computing 5. Submit executable bug reports 6. Package class programming assignments 7. Easily collaborate on coding projects Package: cgroup-bin Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcgroup1 Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/cgroup-bin_0.37.1-1~nd+1_i386.deb Size: 63578 SHA256: a1b7537de1aefbeab25d571bcac974ba9ff947f23bf54c6c786069b8b123ca02 SHA1: 38a354374bffa7541ccec3a3617c92fd935e5da5 MD5sum: d3c65a8e5cdf28dd482fe0a751e548f9 Description: Tools to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . These tools help manipulate, control, administrate and monitor control groups and the associated controllers. Package: cmtk Version: 3.2.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 22478 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk2 (>= 3.6.0), libfftw3-double3, libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.9), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 4.6), zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_3.2.2-1~nd+1_i386.deb Size: 3718374 SHA256: 9255fbddce6b37535dea0568dd97f35b581e40001cf1ee272712d57c47998937 SHA1: 1e16eb03f0f91aa6bd5839e9b1e8ead366e5ea11 MD5sum: f963c4104aafa750409fc30379e327e0 Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: cnrun Version: 1.1.14-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 288 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), libgsl0ldbl (>= 1.9), libreadline6 (>= 6.0), libstdc++6 (>= 4.6), libxml2 (>= 2.6.27) Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun_1.1.14-1~nd+1_i386.deb Size: 99212 SHA256: db6ec0d1ba14145a4c2747fc4e5b933dc786fcac75b2f388efb8c04784c93668 SHA1: 0a396a01504e089c1a8fbf18253cc78b73596e5d MD5sum: d39874b89fe2b4ef52d7c6c6e001ba1a Description: NeuroML-capable neuronal network simulator CNrun is a neuronal network model simulator, similar in purpose to NEURON except that individual neurons are not compartmentalised. It can read NeuroML files (e.g., as generated by neuroConstruct); provides a Hodgkin-Huxley neuron (plus some varieties), a Rall and Alpha-Beta synapses, Poisson, Van der Pol, Colpitts oscillators and regular pulse generator; external inputs and logging state variables. Uses a 6-5 Runge-Kutta integration method. Basic scripting and (if run interactively) context-aware autocompletion. Package: cnrun-tools Source: cnrun Version: 2.0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.6.27) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.0.3-1~nd+1_i386.deb Size: 21596 SHA256: d55dff1ad44299366901f85a46b4e53f4fd656e45a51242217b75a5024458d58 SHA1: c9d629c97aa261bcc192fdf645d6be9da94fe7e7 MD5sum: f23eb68a96d54445437043b35a1a0fa1 Description: NeuroML-capable neuronal network simulator (tools) CNrun is a neuronal network simulator implemented as a Lua package. This package contains two standalone tools (hh-latency-estimator and spike2sdf) that may be of interest to CNrun users. . See lua-cnrun description for extended description. Package: cnrun-tools-dbgsym Source: cnrun Version: 2.0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: cnrun-tools (= 2.0.3-1~nd+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/cnrun-tools-dbgsym_2.0.3-1~nd+1_i386.deb Size: 103382 SHA256: 034051911f0cbb54cbcdf2d21ab2150f45a82a8eca1a58ad44151af7eb2c8fc4 SHA1: c9ac57d6e5d843353cca9673eb3da96feada5fa5 MD5sum: 4f98c4615beb273834d4e6dbec84bb94 Description: Debug symbols for cnrun-tools Auto-Built-Package: debug-symbols Build-Ids: 2bdb0a5ead04f58d962c813d0664dfa89ee9bea0 c7e97492db87a33d81654d5d4d2fce8633202688 Package: condor Version: 8.4.2~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.4.2~dfsg.1-1~nd+1_all.deb Size: 15738 SHA256: 770a539bc80b9696e8876d5553cafadf50a5526c75c9e49b9c36f60a59a94817 SHA1: 7f99a4eee1622410946a45110bb6c8a38307f307 MD5sum: e5f4701061a46c29d34155d23d050572 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dbg Source: condor Version: 8.4.2~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor-dbg Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dbg_8.4.2~dfsg.1-1~nd+1_all.deb Size: 15748 SHA256: 1b2cc1a7977abf527ce5c20d78a5aa96641f8e801259075a0af6a5cb9c62b732 SHA1: 8dd8e1f5cff6b34c3e71db032d00f6852fcb3401 MD5sum: e83810f7d993698ed69666a74a4a222c Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dev Source: condor Version: 8.4.2~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dev_8.4.2~dfsg.1-1~nd+1_all.deb Size: 15750 SHA256: d9fa29c8db92dd673c9f0b854b72a66add4a60ffda1078d37c9110bd9f426dfb SHA1: a628a5eb891969b9e27fdfa3766afaade77d51f3 MD5sum: a4d6024f7c81cf1d1ed54ee176fcf602 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-doc Source: condor Version: 8.4.2~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.4.2~dfsg.1-1~nd+1_all.deb Size: 15744 SHA256: 4d36d719096078a83271bee57e8167e2b00768157df72f65a442bbbcb1497aae SHA1: 58976168183e212209cb7995b275af86e1360501 MD5sum: cb09f910832fbd74a4ccce12282630d5 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: connectome-workbench Version: 1.2.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 51872 Depends: neurodebian-popularity-contest, libc6 (>= 2.11), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:4.2), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.7.0~beta1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.1.0~2011week13), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.2.0-1~nd+1_i386.deb Size: 25434552 SHA256: a0b79983b6b4934a5e7499c71abb136a3231d2ebb4581a27db0213ab84f6cfcd SHA1: baec44cbdf8c242c371a9a6f3f11cfd69a211c4d MD5sum: 7e46e7a99826666c7e62dfd0066426f9 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.2.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 119592 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.2.0-1~nd+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.2.0-1~nd+1_i386.deb Size: 117757668 SHA256: 75c81419b40ed091aabf50c1703ed67a7b26686eaa2569da5fb6dab9f28cea90 SHA1: e661071a35c9bf8f9dfe2bdfd0251f46b1706792 MD5sum: 05ddfbeaddf056aeb8314d98cf9f93e8 Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Build-Ids: 73ea0190b5e6eebef8425ca59345545624d63ff9 b8bed160c505bdf0f388061d6b4aa26f3ccb3811 Package: connectomeviewer Version: 2.1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1578 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python-cfflib (>= 2.0.5), python-networkx (>= 1.4), python-nibabel, python-numpy (>= 1.3.0), python-scipy, python-chaco, mayavi2 (>= 4.0.0), ipython Recommends: python-nipype, python-dipy, python-matplotlib, python-qscintilla2 Suggests: nipy-suite Homepage: http://www.connectomeviewer.org Priority: extra Section: python Filename: pool/main/c/connectomeviewer/connectomeviewer_2.1.0-1~nd+1_all.deb Size: 1356156 SHA256: 434aff9b028c4333df4aff71cc45e6b82a98574f6297ddab70d0ebc260ff5e6a SHA1: 5dc49f902c6d89fd0fea7758ce53c9462ec73db4 MD5sum: a9b946a201ad29742748d1c152b6fd57 Description: Interactive Analysis and Visualization for MR Connectomics The Connectome Viewer is a extensible, scriptable, pythonic research environment for visualization and (network) analysis in neuroimaging and connectomics. . Employing the Connectome File Format, diverse data types such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The Connectome Viewer is part of the MR Connectome Toolkit. Package: coop-computing-tools Source: cctools Version: 3.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4050 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfuse2 (>= 2.8.1), libglobus-common0 (>= 14), libglobus-gss-assist3 (>= 8), libglobus-gssapi-gsi4 (>= 10), libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient16 (>= 5.1.50-1), libncurses5 (>= 5.5-5~), libopenmpi1.3, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), libtinfo5, python Suggests: coop-computing-tools-doc, condor, gridengine-client Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: utils Filename: pool/main/c/cctools/coop-computing-tools_3.4.2-1~nd+1_i386.deb Size: 1398866 SHA256: e573238c0a8177d85f188c5f774d23d2cf6159feb7e5483da0d1a99c3423a9b7 SHA1: 337de86fdd4a6b606665bb0ff54b5f0704d81164 MD5sum: 3368be79a430f15f555b1399be1c2761 Description: cooperative computing tools This is a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. This includes: . * Chirp: A personal filesystem and I/O protocol that allows unprivileged users to share space securely, efficiently, and conveniently. When combined with Parrot, Chirp allows users to create custom wide-area distributed filesystems. * Parrot: A transparent user-level virtual filesystem that allows any ordinary program to be attached to a remote storage device such as an FTP server or a Chirp server. * Makeflow: A workflow system for parallel and distributed computing that uses a language very similar to Make. * Work Queue: A system and API for building master-worker style programs that scale up to thousands of processors. * All Pairs: A computational abstraction for running very large Cartesian products. * Wavefront: A computational asbtraction for running very large dynamic programming problems. * The Fault Tolerant Shell: A high-level programming language that allows users to combine the ease of shell scripting, the power of distributed programming, and the precision of compiled languages. Basically, parallel programming and exception handling for scripts. Package: coop-computing-tools-dev Source: cctools Version: 3.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 830 Depends: neurodebian-popularity-contest Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: libs Filename: pool/main/c/cctools/coop-computing-tools-dev_3.4.2-1~nd+1_i386.deb Size: 222952 SHA256: 31084fc8d027d8180bd7834081fa9177adf96e39f7612f25084c7ea09fd7a606 SHA1: f4eb1f85a9b0b0bf2c622533aa8a4fd66b67fc3b MD5sum: 9e18eba3cc1365382642100630fcbb97 Description: libraries and header files for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides static libraries and header files for development. Package: coop-computing-tools-doc Source: cctools Version: 3.4.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2319 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: doc Filename: pool/main/c/cctools/coop-computing-tools-doc_3.4.2-1~nd+1_all.deb Size: 310822 SHA256: 0642839d664eb82995250674899981ef923b580886bfee044c3d7fb0423d5c59 SHA1: ac36fb2e56a520976ccafeb3149cbb74e53a5783 MD5sum: 24357820bf176e53a7aafe81b73d5de2 Description: documentation for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides the documentation (manual and API reference) in HTML format. Package: cython Version: 0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4580 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python2.6, libc6 (>= 2.3.6-6~) Suggests: gcc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython_0.13-1~nd+1_i386.deb Size: 1117360 SHA256: 3294cdfa3975fccc7c036c7f682655415b097e72c912995137848e91e64a78f4 SHA1: f4cd5aaf276b9511d09d88326b9874d5c688180c MD5sum: ec697d214932e45fc788e7cc387f630c Description: C-Extensions for Python Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping for external C libraries, and for fast C modules that speed up the execution of Python code. Python-Version: 2.5, 2.6 Package: cython-dbg Source: cython Version: 0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7672 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), libc6 (>= 2.3.6-6~), cython (= 0.13-1~nd+1) Suggests: gcc Homepage: http://cython.org/ Priority: extra Section: debug Filename: pool/main/c/cython/cython-dbg_0.13-1~nd+1_i386.deb Size: 2920060 SHA256: 2c4bc665bc543f0d9d7d675f37bf01376f7c725bb659c7bbb168bbfff1b52e64 SHA1: 6ac68b40d2d6858134a3559a7d567b1e59b894c1 MD5sum: b2621ac9fe5da867aed58d8dcb9aa69f Description: C-Extensions for Python (Debug Build of Cython) This package contains Cython libraries built against versions of Python configured with --pydebug. Python-Version: 2.5, 2.6 Package: datalad Version: 0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.2-1~nd+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.2-1~nd+1_all.deb Size: 8594 SHA256: b4ada6dcacb55d60a3432e0d3ebff96ed51d5dbb47574d7c8937194ccb8b20ff SHA1: 653cf45a32325fc66d2f7ca91b90dc475574e418 MD5sum: d06fa2953d16a92b78c285016ca17b93 Description: data files crawler and data distribution DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming for neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare or update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of datasets (search, install, uninstall, upgrade etc) . This package provides the command line tool. Install without Recommends if you need only core functionality. . DISCLAIMER: DataLad is Work-In-Progress and this package is not yet for regular user consumption. Primarily intended for demonstrations and development. Package: debian-handbook Version: 6.0+20120509~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23215 Depends: neurodebian-popularity-contest Homepage: http://debian-handbook.info Priority: optional Section: doc Filename: pool/main/d/debian-handbook/debian-handbook_6.0+20120509~nd+1_all.deb Size: 21998670 SHA256: b33f038d8363175473cc056a5f98fc7af52386a466b45d4b2e42d2f25233a3ed SHA1: 7a0b369b4548a3f4fb61aa1ef9efa2ddf2b319e2 MD5sum: 3e3d2cf990fcc5ed1ed6bdbfb5c1c3dd Description: reference book for Debian users and system administrators Accessible to all, the Debian Administrator's Handbook teaches the essentials to anyone who wants to become an effective and independent Debian GNU/Linux administrator. . It covers all the topics that a competent Linux administrator should master, from the installation and the update of the system, up to the creation of packages and the compilation of the kernel, but also monitoring, backup and migration, without forgetting advanced topics like SELinux setup to secure services, automated installations, or virtualization with Xen, KVM or LXC. . The Debian Administrator's Handbook has been written by two Debian developers — Raphaël Hertzog and Roland Mas. . This package contains the English book covering Debian 6.0 “Squeeze”. Package: debruijn Version: 1.6-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfftw3-3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cfn.upenn.edu/aguirre/wiki/public:de_bruijn_software Priority: extra Section: science Filename: pool/main/d/debruijn/debruijn_1.6-1~nd+1_i386.deb Size: 45328 SHA256: 8fb315c004eb44332ee2e177d07c6c81006bdcc706f9ac3fe45664aa2f16bb48 SHA1: 952db6e54183a66d25c5ca7543b8ab5ae0fbbafb MD5sum: 1542af62da86a48a576df61b892c5cbc Description: De Bruijn cycle generator Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments. Package: dh-systemd Source: init-system-helpers Version: 1.18~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, perl, debhelper Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/dh-systemd_1.18~nd+1_all.deb Size: 13820 SHA256: 5c6c86d4863c6322a9e6512918f65d3621106a79bb50d159df73068dc4f82efb SHA1: 99fb38f6bfb0c38a01dd2e304f1c32ffbe0c0b2b MD5sum: 7a19fa0768f1c1d627df931054cb945b Description: debhelper add-on to handle systemd unit files dh-systemd provides a debhelper sequence addon named 'systemd' and the dh_systemd_enable/dh_systemd_start commands. . The dh_systemd_enable command adds the appropriate code to the postinst, prerm and postrm maint scripts to properly enable/disable systemd service files. The dh_systemd_start command deals with start/stop/restart on upgrades for systemd-only service files. Package: dicomnifti Version: 2.32.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 507 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.9) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.32.1-1~nd+1_i386.deb Size: 97576 SHA256: 69f4fab7711c4a239dda43a659cd8f1222422c0d44ed7ce6cdb236f1b4d77437 SHA1: 4e18b5b37602c3ab0a666941f2b9e80448ca6187 MD5sum: 1b717d8afb0cc29aea59c551185e57e6 Description: converts DICOM files into the NIfTI format The dinifti program converts MRI images stored in DICOM format to NIfTI format. The NIfTI format is thought to be the new standard image format for medical imaging and can be used with for example with FSL, AFNI, SPM, Caret or Freesurfer. . dinifti converts single files, but also supports fully automatic batch conversions of complete dicomdirs. Additionally, converted NIfTI files can be properly named, using image series information from the DICOM files. Package: dmtcp Version: 2.3.1-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2769 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.3.1-6~nd+1_i386.deb Size: 670480 SHA256: e2c626df7de7cd9dcafcbbdfaa305a973bc2becece99aa874491418b27501835 SHA1: f85b8ebc735f8d3bfb5520dddff1c637fc7ff70d MD5sum: 343eea9daf07dc5cb313e099c32dfeff Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.3.1-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20306 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.3.1-6~nd+1_i386.deb Size: 4341580 SHA256: d81cd24320bfa74787ba3c35807916c77d69be2391fddc9e574e9d9379b6c3b6 SHA1: 2648f66a45c4a6bb3f912c3003a0c25f07f65a68 MD5sum: d057bbee63638482f6725b710b4f7b7c Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains debugging symbols for DMTCP. Package: edac-utils Version: 0.18-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18-1~nd+1_i386.deb Size: 28810 SHA256: ba01bddbe7f20ead38231cb1ad9170ce2875e4d30a9adac85ca85f48580e00e0 SHA1: 25b5f3e6e537bcc3f32e9903ba709bb5a8846cb9 MD5sum: 49a6fab64d1de6d98c582197954fab4b Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: eegdev-plugins-free Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 77 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd+1), libc6 (>= 2.3.6-6~), libexpat1 (>= 2.0.1), libusb-1.0-0 (>= 2:1.0.8), libxdffileio0 (>= 0.0) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/eegdev-plugins-free_0.2-3~nd+1_i386.deb Size: 28052 SHA256: 92ca8fb78c10bfa5fd80f1f2cb25896bc99aa8995c8a93cc135c8719adbffb9e SHA1: efea8c360e6f6e56cc7530572f508700f9af8fae MD5sum: f82e759fec9ae76ecd47ec7d6e7bc81c Description: Biosignal acquisition device library (free plugins) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the devices plugins that depends only on free components. Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8109 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd+1_all.deb Size: 7224686 SHA256: 54ff518513962d0d5f50f6194edc9210fd1280ccb3dd2d277aee94711522513f SHA1: 0f8e5ec99bfea7724ce386136c4733c175063e78 MD5sum: 489d2beaf9e6e7e581abbfb6cebbef44 Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: eegview Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libeegdev0, libmcpanel0 (>= 0.0), libxdffileio0 (>= 0.0) Homepage: http://cnbi.epfl.ch/software/eegview.html Priority: extra Section: science Filename: pool/main/e/eegview/eegview_0.0-1~nd+1_i386.deb Size: 12720 SHA256: 174f4a2fbcbe12fa5b9c277d77fa1701a2fb8e735b2922e77494ab7becc92240 SHA1: 6d80e9d5928f01906bf6b9d1efa54f3f6f0d55fd MD5sum: c7aa06677df8db4c08a7ca300616410a Description: Software to display EEG data in realtime This software allows one to display EEG signal in realtime as well as record them. It is the minimal recording panel needed to do simple experiment. Package: environment-modules Source: modules Version: 3.2.10-8~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 187 Depends: neurodebian-popularity-contest, debhelper (>= 9), tcl8.6 (>= 8.6.0), libc6 (>= 2.4) Homepage: http://modules.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/m/modules/environment-modules_3.2.10-8~nd+1_i386.deb Size: 90538 SHA256: 46ef6b3a02f564af66e089f456cf838c13b1d3a680fad6cf977cbfcbe8a7271e SHA1: 648e054b695c14d33a7c482d9a7a02992f4ce887 MD5sum: 8e4de3fbf7988f3b8a9135fb47bd1eae Description: Modular system for handling environment variables The Modules package provides for the dynamic modification of a user's environment via modulefiles. Each modulefile contains the information needed to configure the shell for an application. Once the Modules package is initialized, the environment can be modified dynamically on a per-module basis using the module command which interprets modulefiles. Typically modulefiles instruct the module command to alter or set shell environment variables such as PATH, MANPATH, etc. modulefiles may be shared by many users on a system and users may have their own collection to supplement or replace the shared modulefiles. The modules environment is common on SGI/Crays and many workstation farms. Package: fail2ban Version: 0.9.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1224 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.4-1~nd+1_all.deb Size: 275404 SHA256: d3d12b6981a576ef422650ae4226fd3805f8350c015211e6e9285e7322d2cb9a SHA1: 5a0d6589057343354c8cf4b507e4e7fce3ae2fa5 MD5sum: b3f7b395eee510aa79a9694f1648b296 Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: freeipmi Version: 1.4.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd+1_all.deb Size: 1166 SHA256: 7dda9d1542d1494e9a7fee60f42db2b304fd486139b040580e1719fcc4f3a72e SHA1: 4992038df8faf051041e20e9509db82a264606c5 MD5sum: 0627a974c392edde19e7e09ff3454195 Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-bmc-watchdog Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1), freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-bmc-watchdog_1.4.9-1~nd+1_i386.deb Size: 45224 SHA256: cf3c1a2b0f457e4eddeb246e1bd67c3dde4cd490a8290ee0d179a70e2fc4c1ff SHA1: abd69ca419df9f0aaa1c110e76d21a0dd20772fb MD5sum: 154dcb4811612852ec5b15a5ff693dd9 Description: GNU implementation of the IPMI protocol - BMC watchdog FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a watchdog daemon for hardware BMC watchdogs. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 490 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd+1_all.deb Size: 339368 SHA256: 630feacdcc5462e2cb14ec9cc1ab0df88ed40258cec8fc465d00ca2b35195650 SHA1: 37a7e8b5ad9ebb187cfa538fde4bc36977682a8b MD5sum: 461e09f72e0e80921f61d0d42aaae393 Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: freeipmi-ipmidetect Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd+1_i386.deb Size: 39792 SHA256: 3a953c73d86810aed75d791ae26fd3dfa0d2e84316b4cc7c306330ae283f638c SHA1: 96e4a3c4b4910eccb3019c7aa02a625628221130 MD5sum: ae0a905fcac6ab11707df23275179198 Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a tool and a daemon for detecting IPMI nodes. Package: freeipmi-ipmiseld Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 219 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1), sysvinit-utils (>= 2.88dsf-50~) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmiseld_1.4.9-1~nd+1_i386.deb Size: 82172 SHA256: 2e3a8526b8e8887e996d15c9556b58af72510b906c608a4a083201f603e52ea8 SHA1: 349558078cd16fc69ac6cfd09702d9fd9a197fdf MD5sum: 5c1b2292a5de9e0e12c8f8bc1525ed30 Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains ipmiseld which takes the system event log from the BMC and imports it to syslog Package: freeipmi-tools Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3080 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd+1), libgcrypt20 (>= 1.6.0), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd+1) Suggests: freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-tools_1.4.9-1~nd+1_i386.deb Size: 623068 SHA256: 5f03f2f0bbaa079265f46c0349ac18e07cf15f7e800afc658ac246c4e0b192cc SHA1: 4a5f38f83f756442aa6b1fd957fc0af40d6e6967 MD5sum: 8449c8693810f5887ed60b9459491b87 Description: GNU implementation of the IPMI protocol - tools FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains assorted IPMI-related tools: * bmc-config - configure BMC values * bmc-info - display BMC information * ipmi-chassis - IPMI chassis management utility * ipmi-fru - display FRU information * ipmi-locate - IPMI probing utility * ipmi-oem - IPMI OEM utility * ipmi-pet - decode Platform Event Traps * ipmi-raw - IPMI raw communication utility * ipmi-sel - display SEL entries * ipmi-sensors - display IPMI sensor information * ipmi-sensors-config - configure sensors * ipmiconsole - IPMI console utility * ipmiping - send IPMI Get Authentication Capabilitiy request * ipmipower - IPMI power control utility * pef-config - configure PEF values * rmcpping - send RMCP Ping to network hosts Package: freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.2+git6-g5455843+dfsg-1~nd+1_i386.deb Size: 8486 SHA256: ad55fb9cc2937e5ee0001377ae88e2f15735eaa508bcc642e3b2de8478877864 SHA1: e4bfc04360d4153b5075db2e17c24123eea25b55 MD5sum: f98cae5e46dd15ff3937df704f26c9f9 Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 74 Depends: neurodebian-popularity-contest, python, python-matplotlib, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-nibabel, python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd+1_all.deb Size: 13894 SHA256: 9756e4fb5df49c082874797043964c50688944e09807b3c2e3ae5f8ef57a29fc SHA1: c8188453f7a785172e154a3ed522bd45758a23b6 MD5sum: 810ba8a6c4ee3c0548200411b906c2a2 Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fslview Version: 4.0.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5943 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt4-qt3support (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.7.0~beta1), libqwt5-qt4, libstdc++6 (>= 4.6), libvtk5.8, libvtk5.8-qt4 Recommends: fslview-doc, qt-assistant-compat Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_4.0.1-2~nd+1_i386.deb Size: 2285198 SHA256: 30732c93dd0eeccc29a8f9d2b55f425b4e0fb4b4386d3777bc9d54d112d5e995 SHA1: adb708715217535b1a229f3c37ac241d1db8ae80 MD5sum: 3b65dd3f1324d276a9c7a3bf180d6625 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 4.0.1-6~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2930 Depends: neurodebian-popularity-contest Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_4.0.1-6~nd+1_all.deb Size: 2227654 SHA256: 76b56902c93037a6b1047c3e407923921380d785c518c9fb3578b298e9bf571e SHA1: 230f1be25b2d41fb8a1b741677ba1af77a3fcfe2 MD5sum: fdd711020a889d9831643710482d3d31 Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gcalcli Version: 3.3.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1763 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.3.2-1~nd+1_all.deb Size: 1669860 SHA256: 289f5ebc5092c4ac7daf89c2c3d8d6cbfd535163002f22c9511a3b49fa03d5a0 SHA1: 3cbe025352e728e98effdce52027c5fe843ffeaf MD5sum: 1d2c8aade6dad8d48b0e983341717a18 Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. Package: gdf-tools Source: libgdf Version: 0.1.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 172 Depends: neurodebian-popularity-contest, libboost-filesystem1.49.0 (>= 1.49.0-1), libboost-program-options1.49.0 (>= 1.49.0-1), libboost-system1.49.0 (>= 1.49.0-1), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.2-2~nd+1_i386.deb Size: 56916 SHA256: bc5d41d90edd45e4b47ed0ddd8f9cf315d54af3128cbc764b2ab4bfdf308c0eb SHA1: c9a15b93fed26a0779b61b91863bc99da061de6b MD5sum: b4771fa31c186719f92499a656e0b429 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: git-annex Version: 5.20150327+git27-g6af24b6-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 40855 Depends: neurodebian-popularity-contest, libc6 (>= 2.11), libffi6 (>= 3.0.4), libgmp10, libgnutls-deb0-28 (>= 3.3.0), libgsasl7 (>= 1.4), libicu52 (>= 52~m1-1~), libidn11 (>= 1.13), libsqlite3-0 (>= 3.5.9), libxml2 (>= 2.7.4), libyaml-0-2, zlib1g (>= 1:1.1.4), git (>= 1:2.0), rsync, wget, curl, openssh-client (>= 1:5.6p1) Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2, bittornado | bittorrent Suggests: graphviz, bup, tahoe-lafs, libnss-mdns Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex_5.20150327+git27-g6af24b6-1~nd+1_i386.deb Size: 8268964 SHA256: af892ef140457504913501d951bc9f3330847db4e6602d62b4c62a31f6c03ff5 SHA1: 6005289c2e0ac42858242770ace332dee7c58d81 MD5sum: 76f6edcef60d0881ca9c3435c22be7db Description: manage files with git, without checking their contents into git git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. Package: git-annex-standalone Source: git-annex Version: 6.20160524+gitg2b7b2c4-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 414624 Depends: git, openssh-client Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: graphviz, bup, tahoe-lafs, libnss-mdns Conflicts: git-annex Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_6.20160524+gitg2b7b2c4-1~ndall+1_i386.deb Size: 29229864 SHA256: 25570c8600ca5564172636d1efc0312f9de8ca60c5e54dcd7c6b298f79d5ff3a SHA1: fa5bea9000bb85760a3335afe013184cc13815aa MD5sum: 2fb0c0be95138eb5fc60b29dd60c25d8 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-annex-standalone-dbgsym Source: git-annex Version: 6.20160126+gitg65f4442-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 39 Depends: git-annex-standalone (= 6.20160126+gitg65f4442-1~ndall+1) Homepage: http://git-annex.branchable.com/ Priority: extra Section: debug Filename: pool/main/g/git-annex/git-annex-standalone-dbgsym_6.20160126+gitg65f4442-1~ndall+1_i386.deb Size: 9134 SHA256: 3ff64a3074f84e31588a7fa065be9213c9cd1cd01d2cb872d1798887285c53d7 SHA1: 094995a0da75ca3805883454b37dcac6602e2633 MD5sum: 4469eb146705aca1d596c5c0349963fb Description: Debug symbols for git-annex-standalone Auto-Built-Package: debug-symbols Build-Ids: 8f6f3d23dd9d1fb3f208bf0b95fc198d8d444fc8 8f6f3d23dd9d1fb3f208bf0b95fc198d8d444fc8 Package: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd+1), libc6 (>= 2.1), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Replaces: libglew1.6 (<< 1.7) Homepage: http://glew.sourceforge.net Priority: optional Section: utils Filename: pool/main/g/glew/glew-utils_1.9.0-3~bnd1~nd+1_i386.deb Size: 135738 SHA256: 2f2758b0f373081009af44f62024d634c92e47c7fce408e8fa410341208ba213 SHA1: 6aeace4b4b489846fef9b3d055fe37651a663557 MD5sum: 4b9991788ad28d2269114a93d0905ba2 Description: OpenGL Extension Wrangler - utilities For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the utilities which can be used to query the supported OpenGL extensions. Package: gmsl Version: 1.1.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd+1_all.deb Size: 13860 SHA256: d5e113a0261e40edce8fb498d2bb7852c648002247fffdff0452381a4b2ecdef SHA1: 11595f3dcf608a93147968af5da25409ce67f80e MD5sum: 1f3da7118ebb92d891e0eca8f578fe12 Description: extra functions to extend functionality of GNU Makefiles The GNU Make Standard Library (GMSL) is a collection of functions implemented using native GNU Make functionality that provide list and string manipulation, integer arithmetic, associative arrays, stacks, and debugging facilities. . Note that despite the name of this project, this library is NOT standard and is NOT written or distributed by the GNU project. Package: guacamole Source: guacamole-client Version: 0.8.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 476 Depends: neurodebian-popularity-contest, guacd Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole_0.8.3-1~nd+1_all.deb Size: 426802 SHA256: 30425f953711295f9fd13c922f1f6cdfb967eae6d2b35805872681de6cab0984 SHA1: 10dc2e2a857d30f9a48b314928809fa24c950efb MD5sum: 146eaa1ce187ce8df480c722af1b3657 Description: HTML5 web application for accessing remote desktops Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. Package: guacamole-tomcat Source: guacamole-client Version: 0.8.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole-tomcat_0.8.3-1~nd+1_all.deb Size: 6738 SHA256: 35e27bb61847fd126702dfd459303228bb781ce180fa78b663d7263479f5b2a6 SHA1: 97eec3f03694256ce8d38f1ae5db05b2e6de793a MD5sum: abb7483920ef5ea1c5619fd31786a892 Description: Tomcat-based Guacamole install with VNC support Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. . This metapackage depends on Tomcat, Guacamole, and the VNC support plugin for guacamole. Guacamole is automatically installed and configured under Tomcat. Package: guacd Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.15), libguac5, libssl1.0.0 (>= 1.0.0) Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-server/guacd_0.8.3-1~nd+1_i386.deb Size: 13834 SHA256: d48166fefca9cd77b7573072912f696887f9ea1c4c5f3120fd36f1a7c698344a SHA1: 07508a8dc5ea597b8331e59b26cca2ecc52a2a2a MD5sum: 2e3621d0017559e1923caed28d07db8d Description: Guacamole proxy daemon The Guacamole proxy daemon, guacd, translates between remote desktop protocols (like VNC) and the Guacamole protocol using protocol plugins. Once a user is authenticated with the Guacamole web application, a tunnel is established through the web application to guacd, allowing the JavaScript client to communicate to an arbitrary remote desktop server through guacd. Package: heudiconv Version: 0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 49 Depends: neurodebian-popularity-contest, python, python-dcmstack, python-dicom, python-nibabel, python-numpy, python-nipype Recommends: mricron Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.1-1~nd+1_all.deb Size: 10206 SHA256: 7f58fdc3a1e6742dd76a6ff2da6fdc6f6afe5203a2fa45544715ecbf8ccb0796 SHA1: a3f880cc7c86f3d90c0ca41428ce8bf7dd55fd24 MD5sum: 866bc0ecbf19c7a266f312fcd9aac8db Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 15100 Depends: neurodebian-popularity-contest, debconf (>= 0.5) | debconf-2.0, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libclassad7, libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libglobus-callout0 (>= 3), libglobus-common0 (>= 15), libglobus-ftp-client2 (>= 7), libglobus-gass-transfer2 (>= 7), libglobus-gram-client3 (>= 12), libglobus-gram-protocol3 (>= 11), libglobus-gsi-callback0 (>= 4), libglobus-gsi-cert-utils0 (>= 8), libglobus-gsi-credential1 (>= 6), libglobus-gsi-openssl-error0 (>= 2), libglobus-gsi-proxy-core0 (>= 6), libglobus-gsi-proxy-ssl1 (>= 4), libglobus-gsi-sysconfig1 (>= 5), libglobus-gss-assist3 (>= 9), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 10), libglobus-io3 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 3), libgsoap5, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.10+dfsg~), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.4.2), libpcre3 (>= 8.35), libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.9), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libx11-6, zlib1g (>= 1:1.1.4), python, perl, adduser, libdate-manip-perl Recommends: dmtcp Suggests: coop-computing-tools Breaks: condor (<< 8.0.5~) Replaces: condor (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: science Filename: pool/main/c/condor/htcondor_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 4119944 SHA256: 009875597ab32e260a91a2b055a94288e56f2a829175dc16fe3a069224d80430 SHA1: 5f8101b7e91d28a1bc049a4a7bba8f4f0b73b4c0 MD5sum: 0fb465009889866ae6f1a5a4ab0daddd Description: distributed workload management system Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package can set up an appropriate initial configuration at install time for a machine intended either as a member of an existing HTCondor pool or as a "Personal" (single machine) HTCondor pool. Package: htcondor-dbg Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 33216 Depends: neurodebian-popularity-contest, htcondor (= 8.2.3~dfsg.1-5~nd+1) Breaks: condor-dbg (<< 8.0.5~) Replaces: condor-dbg (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: debug Filename: pool/main/c/condor/htcondor-dbg_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 31201810 SHA256: bd5448de6e46983d1f1cf71bb45751ac9d17147a35e37af9a7c21b6288d12f7c SHA1: 9c9bb06db1e2813d572beeda9c809b2d6f7fe8ae MD5sum: 25c92ccefe3b701c5ed904592f9374a5 Description: distributed workload management system - debugging symbols Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides the debugging symbols for HTCondor. Package: htcondor-dev Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1248 Depends: neurodebian-popularity-contest Breaks: condor-dev (<< 8.0.5~) Replaces: condor-dev (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: devel Filename: pool/main/c/condor/htcondor-dev_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 286946 SHA256: 5edac8f80e4b11bcc29049d2b60e78e65cd62a58cfc87ba213e61dfd90c1a2f5 SHA1: 1020cd6e96f181ec91337ddbc3f09999b53aa568 MD5sum: a8d3249cc14e9493c29c322d9b4ed23b Description: distributed workload management system - development files Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides headers and libraries for development of HTCondor add-ons. Package: htcondor-doc Source: condor Version: 8.4.2~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6058 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.4.2~dfsg.1-1~nd+1_all.deb Size: 1067402 SHA256: d83e01c0c90a82e6f0e770502b7dc39d6a520af647f8ec28743a8ce0f75a6a56 SHA1: 9c86541e48642386a7cae5d0f448d579ffff15f5 MD5sum: aa34aaea0000a4eaa7ca8a60b967146b Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.11.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 436 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil | python-imaging, poppler-utils | mupdf-tools | xpdf-utils (>= 3.02-2) Recommends: mplayer, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.11.1-1~nd+1_all.deb Size: 175634 SHA256: aa6b3094a51db5f60c086659775a5dd4f1bdb1b3efc3e6cfb7b2a8a8eaf55505 SHA1: 80326f67f2bf666891aeafd556ee40cbfb5f0d1f MD5sum: 2e373cb2275ad290ace5b30382a3c4bb Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd+1_all.deb Size: 9644 SHA256: 0d13ef08a008124bb9da089c6b0ee0b6786334ccc1f455d0fbf23dc513dd40df SHA1: bc8cb6cadf98cc14994f98441238f49353e3a04c MD5sum: 4ea2b3f0bbadd9c29c191cb08ac94709 Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: init-system-helpers Version: 1.18~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, perl Breaks: systemd (<< 44-12) Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/init-system-helpers_1.18~nd+1_all.deb Size: 13476 SHA256: d19f7f7a8cc30eebf191c3e5ad052e7bed02fdc1193cd7d909b96fcb70fb0a92 SHA1: 030b394a1bb44ed637be9f28365d434d5b7b76b9 MD5sum: 1082547d50241a858f76eaea6a830965 Description: helper tools for all init systems This package contains helper tools that are necessary for switching between the various init systems that Debian contains (e.g. sysvinit, upstart, systemd). An example is deb-systemd-helper, a script that enables systemd unit files without depending on a running systemd. . While this package is maintained by pkg-systemd-maintainers, it is NOT specific to systemd at all. Maintainers of other init systems are welcome to include their helpers in this package. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2836 Depends: neurodebian-popularity-contest Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Homepage: http://www.itk.org/ Priority: optional Section: devel Filename: pool/main/i/insighttoolkit4/insighttoolkit4-examples_4.7.0-1~nd+1_all.deb Size: 2500548 SHA256: 0531b48d93ec829a52e19ef69ade463eb0d13b9b1d738db0d3b56ba6773293a6 SHA1: 1827fac02b3ef405aff4374a4cb2563a9c0dca06 MD5sum: ed36ba29f41f8508c077ae627f0bcfa9 Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: insighttoolkit4-python Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 728331 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.7, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9) Conflicts: insighttoolkit-python Replaces: insighttoolkit-python Homepage: http://www.itk.org/ Priority: optional Section: python Filename: pool/main/i/insighttoolkit4/insighttoolkit4-python_4.7.0-1~nd+1_i386.deb Size: 65622278 SHA256: 261b39c0b149532d969e37286ee24003a6544d60fadcb6cefb92d5d8b7004cd7 SHA1: 4f4f0a76cd55612504d60e6032a9e0f11a352cae MD5sum: 2380cbbc0a570454b636ad86c3c40707 Description: Image processing toolkit for registration and segmentation - Python bindings ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the Python bindings. Package: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4808 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python (>= 2.6.6-7~), python (<< 2.8) Recommends: python-tornado (>= 2.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib Suggests: ipython01x-doc, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython01x/ipython01x_0.13.2-1~nd+1_all.deb Size: 1306542 SHA256: 33fc418d5aa20d8ed5764ba27113cf8b7dfd6e161f925ce1b3bf179bf11fb31c SHA1: 39a91cecc912b7b453902b3746d62849a55e0b52 MD5sum: 9f74e872ca8b460a4350a340d804f98b Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython post 0.11 with notebooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-doc Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16672 Depends: neurodebian-popularity-contest, libjs-jquery, ipython01x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython01x/ipython01x-doc_0.13.2-1~nd+1_all.deb Size: 7241256 SHA256: a0d2235483d3300b6213c473d783db7e62487249a9bed0d418dbad6d44693be8 SHA1: 947c3033758d7974461bd0758e0d765af1750dc6 MD5sum: c52d4bb47c6d7375400b74e24c2f9fd8 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-notebook Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython01x/ipython01x-notebook_0.13.2-1~nd+1_all.deb Size: 900 SHA256: 610ebc3a7bcc05bd450b367852ab26dad5c2f8b668e000fc73880a07cdffda2f SHA1: c722a2a679e2931d56dc828366f160165f16d9d0 MD5sum: 9e7976ee869362eaa11884d2e1ff00c0 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython01x which ships notebook functionality inside. It is made so to stay in line to modularization of official ipython package in Debian. There is no real good reason to install this package. Package: ipython01x-parallel Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: oldlibs Filename: pool/main/i/ipython01x/ipython01x-parallel_0.13.2-1~nd+1_all.deb Size: 828 SHA256: 1f0ce5d07095b2529a2f935f8715d834215d6c4f016179fc33ba6b11dd5855f7 SHA1: e2194703b6e2426cbb732cc34070157910c6c0ca MD5sum: fe3fa702999665bd8751b4daf6afb0d2 Description: enhanced interactive Python shell This is a transitional package and can be safely removed after the installation is complete. Package: ipython01x-qtconsole Source: ipython01x Version: 0.13.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython01x/ipython01x-qtconsole_0.13.2-1~nd+1_all.deb Size: 914 SHA256: ed093f1f0751c34cedd9910b094deecb52e3a7d8865119c5de7d47996acdea7b SHA1: 4aebbc9ff1ce980725e419f8754294d3ea472dc6 MD5sum: 96a49d95cc8ce5bff8422fb5d3f378ba Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython01x which ships qt console functionality inside. It is made so to stay in line to modularization of the official ipython package in Debian. There is no real good reason to install this package. Package: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11748 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python (>= 2.7), python (<< 2.8) Recommends: python-tornado (>= 2.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib Suggests: ipython1x-doc, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython1x/ipython1x_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 3842882 SHA256: 7c1441bc77ba7c7fd3bdbe815f7c7f7f6463fa9ef0313a9e93609cdfe179dd8c SHA1: 4caf2b8e43102cc073fa5d48befbdea5f0bd2f59 MD5sum: 47491a39015e2f209b730ad0cb5ada5d Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython post 0.11 with notebooks support. It provides IPython1X module thus not conflicting with system-wide installed IPython Package: ipython1x-doc Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10389 Depends: neurodebian-popularity-contest, libjs-jquery, ipython1x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython1x/ipython1x-doc_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 3694410 SHA256: 791e5bf6963a169984fc99ea7876edcf8ee4d9d395d324c12dda2aef4f0a602a SHA1: 94c9c4fed79527354a553fd0e0a794eb18c92ae6 MD5sum: 4a3eea4d61a721ca8acfda4d8c57ef61 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython1X module thus not conflicting with system-wide installed IPython Package: ipython1x-notebook Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython1x/ipython1x-notebook_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 962 SHA256: fe4b4c9a3c3c0f4a0a6fea5b8988cfdf1116d52d69e2c1a0fee034193a621b73 SHA1: 7fff71aa3955c95a06d37dc68325299f9d5304ef MD5sum: cd9e1c312a5b0daaa52b9744d53c19d0 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython1x which ships notebook functionality inside. It is made so to stay in line to modularization of official ipython package in Debian. There is no real good reason to install this package. Package: ipython1x-parallel Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: oldlibs Filename: pool/main/i/ipython1x/ipython1x-parallel_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 888 SHA256: b92af7fb89a64885bac32001ff8af087e44e8b5b7d2ff631255d786fe8a80d01 SHA1: aaa3c95e540ffc04b95c335b8059fa1d82c1da4f MD5sum: 8ffb02a51001d8c55e7f68aad8820104 Description: enhanced interactive Python shell This is a transitional package and can be safely removed after the installation is complete. Package: ipython1x-qtconsole Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython1x/ipython1x-qtconsole_1.1.0+git7-gf5891e9-1~nd+1_all.deb Size: 972 SHA256: 899ea9da63a3f655e738b2853dc87c805ce75a92303b2f1baf93e31c9aa5d743 SHA1: b8d030862023fbf54da8e753ce0b86d306982254 MD5sum: 6db341ac45a0e710a04f62bd052e45c6 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython1x which ships qt console functionality inside. It is made so to stay in line to modularization of the official ipython package in Debian. There is no real good reason to install this package. Package: ipython2x Version: 2.0.0+git8-gee204ae-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12337 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python (>= 2.7), python (<< 2.8) Recommends: python-tornado (>= 3.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib, environment-modules Suggests: ipython2x-doc, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython2x/ipython2x_2.0.0+git8-gee204ae-1~nd+1_all.deb Size: 5617136 SHA256: 8bd356916406ac6cd32400a0f84f7c961c575e597f1cb27359d8fc3557311155 SHA1: f8ff90471d165b6b6f5364285f5943c8c56b8112 MD5sum: d3ea479e159c72a987a2fcb370b51985 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython 2.x seres with all fresh goodness from the IPython team. It provides IPython2X module thus not conflicting with system-wide installed IPython Package: ipython2x-doc Source: ipython2x Version: 2.0.0+git8-gee204ae-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12949 Depends: neurodebian-popularity-contest, libjs-jquery, ipython2x (= 2.0.0+git8-gee204ae-1~nd+1) Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython2x/ipython2x-doc_2.0.0+git8-gee204ae-1~nd+1_all.deb Size: 4678124 SHA256: b5c017712653a30fa8a62aaa8601c3b9146f3c63184419ef17121da49c38e864 SHA1: 571824bad0b488d73fdc42eac1a4fe70bb10d9f6 MD5sum: 855a4ce18a4ed06cef96e0796756cdd6 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython 2.x. It provides IPython2X module thus not conflicting with system-wide installed IPython Package: ismrmrd-schema Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-schema_1.3.2-1~nd+1_all.deb Size: 5014 SHA256: 912f3638ef54d138a31d05609f4e92f791abe30ad5df28d5e39c45c8d55fb258 SHA1: 9868caa57e8404a539336933627057b221713c81 MD5sum: 10f20c9b72aefdbd2b0e54ab0cfd049c Description: ISMRM Raw Data format (ISMRMRD) - XML schema The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the XML schema. Package: ismrmrd-tools Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 400 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd+1), libboost-program-options1.58.0, libc6 (>= 2.4), libfftw3-single3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-tools_1.3.2-1~nd+1_i386.deb Size: 127562 SHA256: 1638d85e45d6f03e18b9e4a49e4619742e5ab6cdf2df612f28264c5cad345700 SHA1: b1dd8b6f4a2816005323836814a77e6c8c5b914f MD5sum: e8ffd807637ea3258024e1dd899bc6c6 Description: ISMRM Raw Data format (ISMRMRD) - binaries The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the binaries. Package: itksnap Version: 2.2.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8384 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfltk1.1 (>= 1.1.8~rc1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit3.20, libmysqlclient16 (>= 5.1.21-1), libstdc++6 (>= 4.6), libvtk5.6 Homepage: http://www.itksnap.org Priority: extra Section: science Filename: pool/main/i/itksnap/itksnap_2.2.0-1~nd+1_i386.deb Size: 3713202 SHA256: ee8d431ea4b156bd68cbac4d62664dd28a4f6fdd43a6b051ba5612289b3ea5bb SHA1: 4522306714a170d99586d46e0ba4c6d3e3521cdd MD5sum: 9a076861dd476f430ab046505dd96665 Description: semi-automatic segmentation of structures in 3D images SNAP provides semi-automatic segmentation of structures in medical images (e.g. magnetic resonance images of the brain) using active contour methods, as well as manual delineation and image navigation. Noteworthy features are: . * Linked cursor for seamless 3D navigation * Manual segmentation in three orthogonal planes at once * Support for many different 3D image formats, including NIfTI * Support for concurrent, linked viewing and segmentation of multiple images * Limited support for color images (e.g., diffusion tensor maps) * 3D cut-plane tool for fast post-processing of segmentation results Package: klustakwik Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/klustakwik/ Priority: extra Section: science Filename: pool/main/k/klustakwik/klustakwik_2.0.1-1~nd+1_i386.deb Size: 22222 SHA256: 3a8a7c9a6cbfabe70beb2a4890a10351841638b063901f246cd46f884e9ba4a2 SHA1: ab91c634e1089a5dfff7d7fe9898191500cd4f0c MD5sum: 8871c4844a656a33a798f48911627775 Description: automatic sorting of the samples (spikes) into clusters KlustaKwik is a program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data. Package: libbiosig-dev Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1359 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd+1_i386.deb Size: 311940 SHA256: 7093113c0377754321635bc1d9f2d032fd53cb9d305236b18509704bd080ac6d SHA1: 88cf3c71439dbdf3356ce48740bc5c007c61bbcd MD5sum: f51d7d4b92a5254a758dfd5821dfbd9a Description: I/O library for biomedical data - development files BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides header files and static library. Package: libbiosig1 Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 823 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-2~nd+1_i386.deb Size: 278336 SHA256: 37dc35cc4dc25850c8f451b67f4d34a3e4b278badd3d3ab86ca4caa08c6e6f50 SHA1: 6e1d342ed63f46164132a6fdd51b50934775535e MD5sum: 10f1c4e8991c6a9fa1550ef14e585012 Description: I/O library for biomedical data - dynamic library BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides dynamic library. Package: libbiosig1-dbg Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd+1_i386.deb Size: 70504 SHA256: 8972c9ba94e5ae7700de99c678ce7805d9b3fb6833bb51db572db44834ce5c50 SHA1: b78954bba88530668268bd3d6b548dd344a952e9 MD5sum: e9946b3b6c469d94f6eaca0f5f696726 Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides debug symbols. Package: libcgroup-dev Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd+1_i386.deb Size: 17388 SHA256: 696afb9d21de3d90521d1f662bfefc3c55f8a9cac5523406e902d2481ba786e3 SHA1: 2b40fad1168ba0ed796cf3c77c794dccecde416a MD5sum: 7c8b35c7ee72a6f053db55a1c7aa6a81 Description: Development libraries to develop applications that utilize control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . It provides API to create/delete and modify cgroup nodes. It will also in the future allow creation of persistent configuration for control groups and provide scripts to manage that configuration. Package: libcgroup1 Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd+1_i386.deb Size: 37302 SHA256: 61cb5cbe90a3a12434bfbff96a06c2a13648f4d2c4346022ef3e9fe552309020 SHA1: fc14bc084e8be117398dd3bb251f4d9e774e1134 MD5sum: 5c9d5855e3f81f29acd65f71d03b0502 Description: Library to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This library allows applications to manipulate, control, administrate and monitor control groups and the associated controllers. Package: libclassad-dev Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1194 Depends: neurodebian-popularity-contest, libclassad7 (= 8.2.3~dfsg.1-5~nd+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 260818 SHA256: 57ed49ba0ea7b33ababb2415cf1f90b7e4b31d369de7d1ee6735ece169173bbe SHA1: 8119e6715205a09b4e1fa8b6e86d0a40456b5c2a MD5sum: b510cacb3ed2170b31fa22f6a7df6777 Description: HTCondor classads expression language - development library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the static library and header files. Package: libclassad3 Source: condor Version: 7.8.8~dfsg.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 821 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libpcre3 (>= 8.10), libstdc++6 (>= 4.6) Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: science Filename: pool/main/c/condor/libclassad3_7.8.8~dfsg.1-2~nd+1_i386.deb Size: 272394 SHA256: a8d74a655e9a62dc2f0ae58026fb2c662f80ebf4978fd012c9325625888e32a4 SHA1: d09030d1648f3aa8ddc3356f05f98a80097b62d4 MD5sum: 579acf8ec63d49b27c00bbfd003b40e6 Description: Condor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of Condor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the Condor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libclassad7 Source: condor Version: 8.2.3~dfsg.1-5~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 617 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpcre3 (>= 8.35), libstdc++6 (>= 4.9) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.2.3~dfsg.1-5~nd+1_i386.deb Size: 205496 SHA256: 2f24834746bddf80caacd71a2405f05fe73a2ec96d19aadd777757690dccb1b7 SHA1: 9664204802a510f7bf49ffeaa0f2ef27f401c76c MD5sum: c9a99a73cdb80fa0419f8b091dc30930 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libcnrun2 Source: cnrun Version: 2.0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 265 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.7.4) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/libcnrun2_2.0.3-1~nd+1_i386.deb Size: 84706 SHA256: 06d1620e9133d68072c9efaa8a05a34678d9ef9c70b05da6ef6be8ea53828de9 SHA1: 40688a0994aad05c164e2cfa86bcb9fa82f7c664 MD5sum: 52dd7905d8e6956af7fce54b4f340ba3 Description: NeuroML-capable neuronal network simulator (shared lib) CNrun is a neuronal network simulator implemented as a Lua package. This package contains shared libraries. . See lua-cnrun description for extended description. Package: libcnrun2-dbgsym Source: cnrun Version: 2.0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 843 Depends: libcnrun2 (= 2.0.3-1~nd+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/libcnrun2-dbgsym_2.0.3-1~nd+1_i386.deb Size: 816710 SHA256: be16ba022ec3a30568169a061aaa095f149ed569e60c9e29a28e78957ca5788b SHA1: ead093bb0f25ab7e43c588e5428012d9a31e90a3 MD5sum: e002ac695c23bfbd8a11b828f5351faf Description: Debug symbols for libcnrun2 Auto-Built-Package: debug-symbols Build-Ids: 4b9764a8997a4fdc654fdb30d36ab4ec48403fb8 Package: libcnrun2-dev Source: cnrun Version: 2.0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.0.3-1~nd+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.0.3-1~nd+1_i386.deb Size: 24988 SHA256: 6486e0ba3eb54ee5787a36a457dc3915d7ffa50e777bd10d818e3c534555b5fc SHA1: 252b85c80fe196427d4aa63b7532ac38c752f5ca MD5sum: 8ab601c0e94cee5547f2bab45c17f32a Description: NeuroML-capable neuronal network simulator (development files) CNrun is a neuronal network simulator implemented as a Lua package. This package contains development files. . See lua-licnrun description for extended description. Package: libdmtcpaware-dev Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libdmtcpaware1 (= 1.2.5-1~nd+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libdmtcpaware-dev_1.2.5-1~nd+1_i386.deb Size: 7282 SHA256: 3114ea416ae1844b775a7e82d92507dc190c40cf31c9d69d7830d29fb4cf3493 SHA1: fc30c2a7eba7132d222805dc8b08e27e3a5c55d1 MD5sum: 8c675b004df729d3d67b47af7cb48628 Description: DMTCP programming interface -- developer package DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides libraries for developing applications that need to interact with dmtcp. Package: libdmtcpaware1 Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15 Depends: neurodebian-popularity-contest, dmtcp, libc6 (>= 2.1.3) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libdmtcpaware1_1.2.5-1~nd+1_i386.deb Size: 7240 SHA256: cffa1013d9d2b7e145b1a0af9c72466de629e38a1929e7bcff19d5d2efc2f7fd SHA1: b8dd5604608d1fa1d7455734a8feacbaad82d214 MD5sum: 5773defb9ee4f32181011fbd8b54881f Description: DMTCP programming interface DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides a programming interface to allow checkpointed applications to interact with dmtcp. Package: libdouble-conversion-dbg Source: double-conversion Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd+1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: debug Filename: pool/main/d/double-conversion/libdouble-conversion-dbg_2.0.1-1~nd+1_i386.deb Size: 96494 SHA256: 4cadf7053bd4212c593ab26b3c243935f737029eba54e4739e385c5c922489c8 SHA1: 52d83d6ddb367c4bf4f941c9ec5cb472166d2645 MD5sum: 7200e44726dd1465c91ca582de5849af Description: routines to convert IEEE floats to and from strings (debugging symbols) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains the detached debugging symbols of the library. Package: libdouble-conversion-dev Source: double-conversion Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 181 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd+1) Homepage: http://double-conversion.googlecode.com Priority: extra Section: libdevel Filename: pool/main/d/double-conversion/libdouble-conversion-dev_2.0.1-1~nd+1_i386.deb Size: 49986 SHA256: 5250eaa5efa0b9f64533ba8cd5594f32c44592a3d2eebce94ccd2ea4deba7365 SHA1: 21db3849c19720852cb789401b632042ffb91b33 MD5sum: df75f90ad747d9cbefc4894fc5364339 Description: routines to convert IEEE floats to and from strings (development files) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a static version of the library and development headers. Package: libdouble-conversion1 Source: double-conversion Version: 2.0.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: libs Filename: pool/main/d/double-conversion/libdouble-conversion1_2.0.1-1~nd+1_i386.deb Size: 34526 SHA256: 629ef83ce8f3080dc2d7b777ba088bab16c236d00551b8daa4f355cf44b9f8e8 SHA1: 77a0116bbf867f82291a29980d9ef6b019c5d1f6 MD5sum: 934e605408c5290386543e74c6cef8a6 Description: routines to convert IEEE floats to and from strings This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a shared version of the library. Package: libdrawtk-dev Source: drawtk Version: 2.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libdevel Filename: pool/main/d/drawtk/libdrawtk-dev_2.0-2~nd+1_i386.deb Size: 43592 SHA256: 59b423bc9c341c44d0a5fa82e07b89ef815d48da5214f81fdbd899bb4a4bb999 SHA1: abc2fc3ed766debb9bf3586e8116e2ff430bbba7 MD5sum: a171f8b460c6394928c10630428b9b0e Description: Library to simple and efficient 2D drawings (development files) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package contains the files needed to compile and link programs which use drawtk. Package: libdrawtk0 Source: drawtk Version: 2.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.9.0), libfreeimage3, libfreetype6 (>= 2.2.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libgstreamer-plugins-base0.10-0 (>= 0.10.23), libgstreamer0.10-0 (>= 0.10.25), libsdl1.2debian (>= 1.2.11) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libs Filename: pool/main/d/drawtk/libdrawtk0_2.0-2~nd+1_i386.deb Size: 36170 SHA256: cca62a908bd5c3eea685168e6c88a41d4b051ae2d07c98e5bcc57e1e537eb544 SHA1: 4243555e3cbf229c9d217ad036456a8f79b6adf9 MD5sum: 3c52518274b30a883a1f484b9531f1cf Description: Library to simple and efficient 2D drawings This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. Package: libdrawtk0-dbg Source: drawtk Version: 2.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: debug Filename: pool/main/d/drawtk/libdrawtk0-dbg_2.0-2~nd+1_i386.deb Size: 75210 SHA256: c088677a9a37468544df621dd88fff718b2830a695a20625215eeec7ad55371b SHA1: 3c48c5bc4dbcd6b17df0bb95360fed974a5ab5fe MD5sum: abc345b37dac6539472ad817c5139f9b Description: Library to simple and efficient 2D drawings (debugging symbols) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package provides the debugging symbols for the library. Package: libedac-dev Source: edac-utils Version: 0.18-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18-1~nd+1_i386.deb Size: 18574 SHA256: dee6427de6621eff056a20e6ac3596559e5f0e4ebb73f01cd82935247584ae1e SHA1: 7cc02de98ced1acfdb9c966dcb70dbf1dfad00a6 MD5sum: c98c2b404fbf2e9a71fe925cba495796 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18-1~nd+1_i386.deb Size: 15046 SHA256: aaff58abf5c75110db1afdf0d9b4fd320cb29eb33256b17db6363facc49b7915 SHA1: 80d983c83ed1ab485ee1dcec4a9e7285fa8a8b17 MD5sum: edaa46f9111ca0bdbec2a7a34f1fbeb2 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd+1) Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18-1~nd+1_i386.deb Size: 35852 SHA256: 8431eec3e4bbe693574e21acd8c018167f0abd64352019df10c2895d608a0de4 SHA1: 953b8cf3a612eb817c4d34dc2aa79c9993995f0e MD5sum: f4cc0a2f6db5ca2d4e3b88970f54f05e Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Package: libeegdev-dev Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libdevel Filename: pool/main/e/eegdev/libeegdev-dev_0.2-3~nd+1_i386.deb Size: 22432 SHA256: 300c9abe3e8e005196aaba299f05dcb8dc5cbfb565254732aaf5e1d1240cada9 SHA1: 5b6887419f86b1c483fbc8ffcc00989e98613fe3 MD5sum: 9385ee88bf5c1f6aac96a84da7157fb9 Description: Biosignal acquisition device library (Developement files) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the files needed to compile and link programs which use eegdev. Its provides also the headers neeeded to develop new device plugins. The manpages and examples are shipped in this package. Package: libeegdev0 Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~) Recommends: eegdev-plugins-free Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/libeegdev0_0.2-3~nd+1_i386.deb Size: 45122 SHA256: 45eccd87e944d611d30e85b778402c604fd44abf33c2dea2d04eb306e13ace52 SHA1: caa98fe7a8fe46e4f8100ff19082b9fdbcb22f94 MD5sum: d14c6bdcaaa06c237ee92d7e86d2a273 Description: Biosignal acquisition device library eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the core library Package: libeegdev0-dbg Source: eegdev Version: 0.2-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 176 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: debug Filename: pool/main/e/eegdev/libeegdev0-dbg_0.2-3~nd+1_i386.deb Size: 160740 SHA256: 301e6d569fdcf9f9d3b11db5f379684b0ff7b4a8d431d3237827a65e184f0c66 SHA1: 3396b5e5dd31957b8802e59f13b13ea9ee8a6b92 MD5sum: 5e0b73265664e153e658f78c70caf870 Description: Biosignal acquisition device library (Debugging symbols) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package provides the debugging symbols for the library. Package: libeigen3-dev Source: eigen3 Version: 3.0.1-1.1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3412 Depends: neurodebian-popularity-contest Suggests: libeigen3-doc Homepage: http://eigen.tuxfamily.org Priority: extra Section: libdevel Filename: pool/main/e/eigen3/libeigen3-dev_3.0.1-1.1~nd+1_i386.deb Size: 509858 SHA256: 909e1043ad2416db965f55c97e50ab2684a23e884798720469f31e764802ffe0 SHA1: 43d8557b93fccacca3276a6b6d07302d6de348a1 MD5sum: f3d2f35ad0abdd843e12f2aba86c78e6 Description: lightweight C++ template library for linear algebra Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . Unlike most other linear algebra libraries, Eigen 3 focuses on the simple mathematical needs of applications: games and other OpenGL apps, spreadsheets and other office apps, etc. Eigen 3 is dedicated to providing optimal speed with GCC. A lot of improvements since 2-nd version of Eigen. Package: libeigen3-doc Source: eigen3 Version: 3.0.1-1.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10344 Depends: neurodebian-popularity-contest, ttf-freefont, libjs-jquery Suggests: libeigen3-dev Homepage: http://eigen.tuxfamily.org Priority: extra Section: doc Filename: pool/main/e/eigen3/libeigen3-doc_3.0.1-1.1~nd+1_all.deb Size: 2377404 SHA256: c6e5364649cf5f6b1db3f3ae2ba998964c4fe8f2eb419b325c156d12f699ebba SHA1: 43b49a1ec0f5cb0655454679d1d1655729ff6721 MD5sum: bd7d512332aa9a1e81f26066dcd42be1 Description: eigen3 API docmentation Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . This package provides the complete eigen3 API documentation in HTML format. Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6549 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libfreeipmi16 (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd+1_i386.deb Size: 904104 SHA256: 2f5459acaa0a045bf28bd2ef1b847f0ef8d29ffd3450eb2dadbc1879a1765362 SHA1: 9aaf91684bd1459ba7256f2a467419922a6ea1d6 MD5sum: b29e109bd0abdd5c3fc9d6e0d23897ba Description: GNU IPMI - development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libfreeipmi. Package: libfreeipmi12 Source: freeipmi Version: 1.1.5-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3825 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcrypt11 (>= 1.4.5), freeipmi-common (= 1.1.5-3~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi12_1.1.5-3~nd+1_i386.deb Size: 986910 SHA256: 545a2a9ac685438d480f03401d75a8c16982402ad12e83f9db192393171bd758 SHA1: bfba6bbeba5f8262da04b12213deeb7968e1e54e MD5sum: e149c4978326c3233658f8af048ba31d Description: GNU IPMI - libraries FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . OpenIPMI, KCS, SMIC, SSIF, LAN drivers, and an IPMI API in a C Library. Package: libfreeipmi16 Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4255 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt20 (>= 1.6.1), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd+1_i386.deb Size: 747072 SHA256: 98b84a7ff8a4e84d347d86f30da1f47819ddcdfcecd4ddbd63a8ed1df059c7b8 SHA1: 264875cd346a71b62efc30f11d58f57d9b6355a8 MD5sum: fc71438d9792b3f46c9911c2a7ce6dd5 Description: GNU IPMI - libraries FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . OpenIPMI, KCS, SMIC, SSIF, LAN drivers, and an IPMI API in a C Library. Package: libfreenect-bin Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 205 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.4), libfreenect0.5 (>= 1:0.5.2), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.4.0) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.2+git6-g5455843+dfsg-1~nd+1_i386.deb Size: 54288 SHA256: 3c0ce81297602ab79b1ed618576be37967035010f171ee24a5967c935f36bb6a SHA1: 742e14ac1b1271a976a511085156d7d73dc16867 MD5sum: 8346a1be8b275b65003059aee102fe33 Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-demos Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.2+git6-g5455843+dfsg-1~nd+1_i386.deb Size: 8524 SHA256: 8cb1ebd67d898b266eac58aa6dc995a371dbadccabbea14f377774124d2794fd SHA1: dd74a11639af05611cde57a4632bdcbba397143f MD5sum: f2ba4d52f4cc533e01e6beb32fe15182 Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd+1), libusb-1.0-0-dev (>= 1.0.18~) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.5.2+git6-g5455843+dfsg-1~nd+1_i386.deb Size: 19274 SHA256: b4c4dd8cdc8d7141908b21b90ce1a977b6d3a96b1a76fd57187121ba5027431f SHA1: f4bdc44b52a6a9e13551b60f96d2a9e007255c8f MD5sum: 63d081a313051e4c3f9e007395f6eba8 Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 647 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.2+git6-g5455843+dfsg-1~nd+1_all.deb Size: 90086 SHA256: 68f42b33ec077a3faf58c19fe5cf2c27447d8fee3138c77f150b768b7e9f82dc SHA1: 528662d27cbab6b251d1a9ed0ef62a9e4ff297d9 MD5sum: e6f8806207d425ef8660693e40b6c021 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.1 Source: libfreenect Version: 1:0.1.2+dfsg-6~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 89 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.8) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-6~nd+1_i386.deb Size: 36842 SHA256: d0183a2e54c1eaee15d64f6ca5414e075993d660a0bcf48f838ed8a4d2eb5d4e SHA1: e326200e76fed64b70b2d7eeebb2e3ae94fe46b2 MD5sum: 6c7932a4e7eaca1d613cc97608c84c89 Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libfreenect0.5 Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.2+git6-g5455843+dfsg-1~nd+1_i386.deb Size: 45108 SHA256: eaa285f50878eb48e3d501516a267aeba9d7a771842823c4786bbef4c4e39584 SHA1: af0be3e9c36f7539785aa6fd4fae443d05478518 MD5sum: 0e724734ccacc94054c0d0bfad0121e2 Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libgdf-dev Source: libgdf Version: 0.1.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 97 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-2~nd+1_i386.deb Size: 19766 SHA256: c10e1b06e072f911ddbc9573e87b69ac678d91e971cf2d1d01c084d4dbae6da4 SHA1: 2925e7e1529fc71077437fca43342086f65711a7 MD5sum: bf2296bf022dd981bc3d3b59728b42d4 Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 718 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-2~nd+1_i386.deb Size: 226150 SHA256: da08bec316d5f399a34a95efb0611fb26078d33c12508ab850baaf4205e3f80c SHA1: 4849599dd30793b0a86e56f4622f150c2ed3703c MD5sum: 44d07368d6cf5dba1777941f260f3e12 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbg Source: libgdf Version: 0.1.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1826 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd+1_i386.deb Size: 517766 SHA256: d1b744f6321699a9312e4bb67fde5cf4e00c1bc238aded59d54dc6db7f13ab11 SHA1: 057677bbd5a55ec916a9a078571420e10e251612 MD5sum: 487f66992862793b9054614a0dc6ddbe Description: IO library for the GDF -- debug symbols GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides debug symbols. Package: libglew1.6 Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.6_1.6.0-2~nd+1_i386.deb Size: 124948 SHA256: b5c38a1fc37b5c89914279f639f904d01191d89c688fe9be9b5ecc70b8e0748c SHA1: cc83f68f07135220d6cb6d7a01c788f9fe7c12ea MD5sum: fac83a15cbda703f27f86b9f8306619c Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.6-dev Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1352 Depends: neurodebian-popularity-contest, libglew1.6 (= 1.6.0-2~nd+1), libgl1-mesa-dev | libgl-dev, libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.5-dev Provides: libglew-dev, libglew1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.6-dev_1.6.0-2~nd+1_i386.deb Size: 242360 SHA256: 3348a4c57bde72fb137308467f9ac6c5c0eebe85ced4b32fa8af3adc5db9fc43 SHA1: 8348eeedce69c4f7e6f52f69fca3e261b294766a MD5sum: efe7526877b82ac11f527d548633b149 Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry[1]. . This package contains the development documentation as well as the required header files. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 542 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.9_1.9.0-3~bnd1~nd+1_i386.deb Size: 166946 SHA256: 10083e5c8291f72f2047eb125465cee9d665e464e9b435004c9b5f15b92f01ac SHA1: c7fbb74380fcd25984e27a3c06e2cc5d7dfab06c MD5sum: 05a1a3423f9619899cee2edf4f91648f Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd+1_i386.deb Size: 40132 SHA256: b232e2c9858023f49a1a6a8215371a67f8b857e2f56f87a7a887dc777194b9a5 SHA1: bd2209ea56c5a5ec2830aba19fbe23c881f87323 MD5sum: 7a13183ab00a781935bc5448fe5767f4 Description: OpenGL Extension Wrangler (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglew1.9. Package: libglew1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1000 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd+1), libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.6-dev Provides: libglew1.5-dev, libglew1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.9-dev_1.9.0-3~bnd1~nd+1_i386.deb Size: 153202 SHA256: ca77b4fb51ee0e460d0f9d6968496ec632a299ad1da90fe14e75ac904f4fa756 SHA1: b7949b3026c0fc0fe6396b8d8a13639b29e7d49b MD5sum: 68564ef53f018a7ab2de5da3270abdf3 Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development documentation as well as the required header files. Package: libglewmx1.6 Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 356 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.6_1.6.0-2~nd+1_i386.deb Size: 111264 SHA256: 267da2b1ae040171f41b0cf50c9ff244cf18de2f9969ca56664e2cbfbf6be2ce SHA1: cd6981af73291595f59d0e62948d55ca2f95a0a6 MD5sum: f8047a36cc7041c9e4ffde49e4ff004e Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.6-dev Source: glew Version: 1.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 396 Depends: neurodebian-popularity-contest, libglew-dev, libglewmx1.6 (= 1.6.0-2~nd+1) Conflicts: libglewmx-dev, libglewmx1.5-dev Provides: libglewmx-dev, libglewmx1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.6-dev_1.6.0-2~nd+1_i386.deb Size: 98448 SHA256: eba45211faabc612c2e6677e25f48d305318eb888c08d4cb6d02124420df2fdc SHA1: 6781cac3c04e412befe3d919d14ab19c858fd3d2 MD5sum: fcb4e28e11df5ea2e73be09b50b63ceb Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry[1]. . This package contains the development libraries compiled with GLEW_MX Package: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 482 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.9_1.9.0-3~bnd1~nd+1_i386.deb Size: 148618 SHA256: 62c3c1add762090894857c36b02c077d31645198ced50da7e545f9ed0b9d729b SHA1: 05a0a2041a1ca9ba45bcd4c584a3591c295ca3ff MD5sum: de64e2b21c5b2d3a5a605199d94f0228 Description: OpenGL Extension Wrangler (Multiple Rendering Contexts) For more information about GLEW please refer to the description of the libglewmx-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd+1_i386.deb Size: 32298 SHA256: b2141727efc03dee81ea908b357bb63d797879e2a18e27ec60518502f1dea68d SHA1: 0d5e4f36dc7c86acb364f06b90a768039a2545b0 MD5sum: 04f4962f1a712c54efb87d771d3d8830 Description: OpenGL Extension Wrangler MX (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglewmx1.9. Package: libglewmx1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd+1) Conflicts: libglewmx-dev, libglewmx1.6-dev Provides: libglewmx1.5-dev, libglewmx1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.9-dev_1.9.0-3~bnd1~nd+1_i386.deb Size: 8804 SHA256: a8b79ec9c71b53e547e58eb385a034564de03cabbcf0fcd614b0746d8f5edfbc SHA1: f3585450e06c7317e43235e55bac462c2678699a MD5sum: a7b1d4b879185826ecc461f811bd4c90 Description: OpenGL Extension Wrangler MX - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development libraries compiled with GLEW_MX. Package: libguac-client-rdp0 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 90 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libfreerdp1 (>= 1.0.1), libguac5, libogg0 (>= 1.0rc3), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2), ghostscript Recommends: libfreerdp-plugins-standard Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-rdp0_0.8.3-1~nd+1_i386.deb Size: 28056 SHA256: 9c354180799cbfab7e3444ce6fb38731a5bbebc805615d97be7ca0de7856e11b SHA1: 274f9f053223f3302f4d4b98d87d4543166ecb37 MD5sum: 277cdeded87fa9dc42382f2a2c02ad26 Description: RDP support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the RDP protocol (Windows Remote Desktop). Package: libguac-client-ssh0 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 55 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.2.4), libglib2.0-0 (>= 2.12.0), libguac5, libpango-1.0-0 (>= 1.22.0), libpangocairo-1.0-0 (>= 1.14.0), libssh-4 (>= 0.3.91) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-ssh0_0.8.3-1~nd+1_i386.deb Size: 22188 SHA256: 0c4abf67b5771f366f02b559bef9b20602a2660c6bdec39f6cd9633519719c59 SHA1: 81da341b05ebcab2d5fe13c77685daf41e53082d MD5sum: 808a27bc6795539b620b314524b16e77 Description: SSH support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the SSH protocol. Package: libguac-client-vnc0 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 22 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac5, libpulse0 (>= 0.99.1), libvncserver0 Recommends: vnc4server Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-vnc0_0.8.3-1~nd+1_i386.deb Size: 10572 SHA256: 2366887d3cfbb65fe7e985462a685bc1b0cec432d6cdbfd1d3f914430e52af64 SHA1: de1780739a65ca59824e5bf043c59be7050314dd MD5sum: bfec4447b2f5fc25c0ba1468d8437199 Description: VNC support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 189 Depends: neurodebian-popularity-contest, libguac5 (= 0.8.3-1~nd+1) Replaces: libguac1-dev Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libdevel Filename: pool/main/g/guacamole-server/libguac-dev_0.8.3-1~nd+1_i386.deb Size: 35280 SHA256: 92c5a523022796d8bdf9e402988e8cb92ace539e6d6f8ad61ce763503c62a0ab SHA1: db529c6dee48a6dd7db2357c38ff9d40a769aea5 MD5sum: 9425107d61c5e0492946016e083a8f90 Description: Development headers for the core Guacamole library The development headers for the core Guacamole library used by guacd and all client plugins. This package is required for development of new client plugins, or for building existing plugins and guacd. Package: libguac3 Source: libguac Version: 0.6.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libpng12-0 (>= 1.2.13-4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac3_0.6.0-2~nd+1_i386.deb Size: 18890 SHA256: 86348c446993678aa3f38cf35a8b37d9777ae9665eab6a37b286af54aa3f175b SHA1: d505004dd599adf431d9ae269caaf0c6ba748c05 MD5sum: db510f2b2818037b7351e207caeda069 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libguac5 Source: guacamole-server Version: 0.8.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 59 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libogg0 (>= 1.0rc3), libpng12-0 (>= 1.2.13-4), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac5_0.8.3-1~nd+1_i386.deb Size: 21518 SHA256: 2fb987b61b3f5f31b94c63dd4f3bd269738171530d1c3850a51c0f0d9f194476 SHA1: f4b0f55835fb2e4d5aae71090decf21cd6ac7949 MD5sum: 4e8ba83ac6c00b35f328c2227d45c5cd Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libinsighttoolkit4-dbg Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 38849 Depends: neurodebian-popularity-contest, libinsighttoolkit4.7 (= 4.7.0-1~nd+1) Homepage: http://www.itk.org/ Priority: extra Section: debug Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dbg_4.7.0-1~nd+1_i386.deb Size: 34852224 SHA256: 4a6dfefe7e580a4921822f51cdb16a448ab4e3b919d54f3cf3780712b88876f4 SHA1: 47a10dadef8e79a026318ffbb9035b3bb6ae48f8 MD5sum: 5295fcd2438f2ebbd8aad01fc3d00485 Description: Debugging information for the Insight Toolkit ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the debug files of the libraries. Package: libinsighttoolkit4-dev Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 25366 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.7 (= 4.7.0-1~nd+1), libstdc++6 (>= 4.9), libgdcm2-dev, libdcmtk2-dev, libhdf5-dev Recommends: libfftw3-dev, uuid-dev Suggests: insighttoolkit4-examples Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Homepage: http://www.itk.org/ Priority: optional Section: libdevel Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dev_4.7.0-1~nd+1_i386.deb Size: 2961636 SHA256: bda358b21dcb7f2e8bfcf01068588550e36d1e1c99742b146d5300fcbcf24587 SHA1: 742f0ba59d779760db22901e4ec48dd6b7778576 MD5sum: aa12782219658864ed939ddc5c8166e5 Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: libinsighttoolkit4.2 Source: insighttoolkit4 Version: 4.2.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20738 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgdcm2.2, libhdf5-7, libjpeg8 (>= 8c), libminc2-1, libnetcdfc7, libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), zlib1g (>= 1:1.2.3.3) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.2_4.2.1-2~nd+1_i386.deb Size: 6986978 SHA256: 151cbfcff05524aca452d1d37464ae83d5afaabaeea840b0c062b2afe88fbdfa SHA1: 807d940faaa08d6b3d5e5bb8272ad38e3898a8f8 MD5sum: 10eb8f0a54e8b57dc5d3f36d9421527e Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libinsighttoolkit4.7 Source: insighttoolkit4 Version: 4.7.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23142 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdcm2.4, libhdf5-8, libhdf5-cpp-8 (>= 1.8.13), libjpeg62-turbo (>= 1.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.2.3.4) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.7_4.7.0-1~nd+1_i386.deb Size: 4733552 SHA256: f4af62a4cacd2464b866c09574467b53d28cede4f46bcc8ee6333bf512c4c945 SHA1: 78d5d81638c7bfa8833be6a41cbb7da21049fa0e MD5sum: 0e7519e2d29cb66be85a5de5d041d5a5 Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 449 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libipmiconsole2 (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd+1_i386.deb Size: 105586 SHA256: b136a874546291eff725c5823f45de68a912d302737a69780b56b71ca66722f9 SHA1: aba28400f1d132617e2e70b680496592a18e040f MD5sum: 2a6dd0e30df393486a40e67e4c26ee03 Description: GNU IPMI - ipmiconsole development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmiconsole. Package: libipmiconsole2 Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 317 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd+1_i386.deb Size: 88180 SHA256: cd1ee16233f09d4eae0cdf18d312d58ae65b1a7fe257962498f3b91be3b5e998 SHA1: ee1607b7cebfe780856f87dca34ce4ec063b8d60 MD5sum: 6020a778eb6c1189d450d09bfbe63281 Description: GNU IPMI - Serial-over-Lan library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for Serial-over-Lan (SOL). Package: libipmidetect-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libipmidetect0 (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd+1_i386.deb Size: 33424 SHA256: bd3021e7cd5043bfc40c430151a1d8f3ea52d5ed5756966b8f8b1c5e30964977 SHA1: d23ba807c0c9d8c6bd31d4f363dd60dbc86fe1d3 MD5sum: d22cf23eecca06b4040e3a8dc25338ad Description: GNU IPMI - ipmidetect development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmidetect. Package: libipmidetect0 Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd+1_i386.deb Size: 27282 SHA256: 420651386c4c6e7e735aa4d1946a6bad114112e0d4d26943c38af1a41dcefcfc SHA1: f74d91cb15add08abd5b7161930bcbb00595751d MD5sum: 92276e7ccb68ccbf517207ee0e66e892 Description: GNU IPMI - IPMI node detection library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for IPMI node detection. Package: libipmimonitoring-dev Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd+1), libipmimonitoring5a (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd+1_i386.deb Size: 63592 SHA256: 01d3d8b7f3a7a45b64117346b158456e406320723f2869757acb64306088c8c1 SHA1: efbc5841996f0a1c7801ca4a7f69060d1b5261fa MD5sum: 726622eaea3473819d502e67e26c067f Description: GNU IPMI - ipmimonitoring development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmimonitoring. Package: libipmimonitoring5 Source: freeipmi Version: 1.1.5-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi12 (>= 1.1.5), libgcrypt11 (>= 1.4.5) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5_1.1.5-3~nd+1_i386.deb Size: 190428 SHA256: ca60c264815af9fc520208f0b738af8013a2c4237ea38e794857ccfdd389e581 SHA1: e6154a7a228c472bededd4af8c5a696e70b317ea MD5sum: 451099b9ea0551fb8d543c2e73c35848 Description: GNU IPMI - Sensor monitoring library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for sensor monitoring. Package: libipmimonitoring5a Source: freeipmi Version: 1.4.9-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd+1_i386.deb Size: 45520 SHA256: c9e6aab545a18f86d21c7d7e9e8930819f8406d389d343243496e6687baaec8f SHA1: 0bda9c6268e1530a6a926d73060dae509dadf6bf MD5sum: 80a1baa2a12bddf288df5b400abad5af Description: GNU IPMI - Sensor monitoring library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for sensor monitoring. Package: libismrmrd-dev Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd+1) Suggests: libismrmrd-doc Homepage: http://ismrmrd.github.io/ Priority: optional Section: libdevel Filename: pool/main/i/ismrmrd/libismrmrd-dev_1.3.2-1~nd+1_i386.deb Size: 13790 SHA256: d5d26ff0d4b103d08b092fc2e3cd760bc4e6f4e73d90e748378778aee55e142d SHA1: 977f8794f8f48bee1e3033427dd5215df7f9266e MD5sum: 49f8bc51f10524419c2063448c9dea02 Description: ISMRM Raw Data format (ISMRMRD) - development files The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the development files. Package: libismrmrd-doc Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1987 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: doc Filename: pool/main/i/ismrmrd/libismrmrd-doc_1.3.2-1~nd+1_all.deb Size: 158244 SHA256: 731a984503486f267ec68521dd5d3465dce1ba96a6808b77fc7e2345b729de6c SHA1: e3aa32efb2aaec1cdf7169e6a9afcc00afe36e95 MD5sum: 7a48add23e72992c4367c723dd4642f9 Description: ISMRM Raw Data format (ISMRMRD) - documentation The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the documentation. Package: libismrmrd1.3 Source: ismrmrd Version: 1.3.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libhdf5-10, libpugixml1v5 (>= 1.4), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/libismrmrd1.3_1.3.2-1~nd+1_i386.deb Size: 84980 SHA256: 3e82dc74318853728ed009adc5858fc6b37354c63ae3ed38bbfff3f427fc26e2 SHA1: aec6217eed75f5347b4bba3d6c396996b9c01039 MD5sum: be59f5ce287a799f5b7de0b0b22ec6dc Description: ISMRM Raw Data format (ISMRMRD) - shared library The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the shared library. Package: libmcpanel-dev Source: mcpanel Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libdevel Filename: pool/main/m/mcpanel/libmcpanel-dev_0.0-1~nd+1_i386.deb Size: 2398 SHA256: 582341116a9c1295e65358d985a09500981a5f6813849d71f2ab6b90d186b0c3 SHA1: 8172b5b20ab66ac5742722f09925a4edbb0ec89b MD5sum: 7060568c5ea24adc2df430cfa50287c2 Description: Library to display multichannel data in realtime (Developement files) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the files needed to compile and link programs which use mcpanel Package: libmcpanel0 Source: mcpanel Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.14.0), libgtk2.0-0 (>= 2.14.0), libpango1.0-0 (>= 1.14.0), librtfilter1 (>= 1.0) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libs Filename: pool/main/m/mcpanel/libmcpanel0_0.0-1~nd+1_i386.deb Size: 54096 SHA256: f511819958bc7126de16c38c6950ef7eeb65c9ab3dafeef3be7793a9929284ee SHA1: c2161ef146eea6760d0afec2c3e43fe369f52874 MD5sum: 2d0617ea0933dfbb75e3cac9983b486c Description: Library to display multichannel data in realtime This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. Package: libmcpanel0-dbg Source: mcpanel Version: 0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 279 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: debug Filename: pool/main/m/mcpanel/libmcpanel0-dbg_0.0-1~nd+1_i386.deb Size: 117510 SHA256: 1d4e7ef493804583464c0f92e7419b985a8f1623b9f0bb19ed9014e49979f271 SHA1: e3509edb67d3797b37402051f5bd657c18f423f7 MD5sum: a236d8f042accaacb39d6e321cd1c063 Description: Library to display multichannel data in realtime (Debugging symbols) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the debugging information of the library. Package: libmia-2.0-8 Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21048 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-serialization1.54.0, libboost-system1.54.0, libboost-test1.54.0, libc6 (>= 2.4), libdcmtk2 (>= 3.6.0), libfftw3-single3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.36.2), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libitpp8, libjpeg8 (>= 8c), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.36.0) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/m/mia/libmia-2.0-8_2.0.13-1~nd+1_i386.deb Size: 3317292 SHA256: 0b3649ff0583a2fc3b4705df12b0eaf4f5bd81489ab2e9356a2bf0ded053add4 SHA1: 24786bca0cdda14267c7b06b1f23f754e93a643c MD5sum: 390b7cfd8134279864f49837a4d65a5d Description: library for 2D and 3D gray scale image processing libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. Package: libmia-2.0-8-dbg Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60640 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/libmia-2.0-8-dbg_2.0.13-1~nd+1_i386.deb Size: 56021600 SHA256: f531a426254fe4ce8cb8daa1c5f314d600851d082a48e4d90bdb74c096f3b891 SHA1: 9a2149a3a67eca667a1ae6c8d61f0edb59f3f7dd MD5sum: b0a9e5e182261880ae45c91c015677a6 Description: Debug information for the MIA library libmia comprises a set of libraries and plug.ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. libmia is library for general purpouse 2D and 3D gray scale image processing. This package provides the debug information of the library. Package: libmia-2.0-dev Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1093 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd+1), libxml++2.6-dev (>= 2.34.1), libitpp-dev (>= 4.2), libtbb-dev, libgsl0-dev, libboost-all-dev (>= 1.46.1), libfftw3-dev, libblas-dev Recommends: libmia-2.0-doc Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/m/mia/libmia-2.0-dev_2.0.13-1~nd+1_i386.deb Size: 178158 SHA256: 04b81d0ea5f4b073a657d23156a9fb3a20571e65512ff3f36802d9d49e6b5f5d SHA1: 1da72dd8c775e846fafad57b87e5ee40e90ed0b6 MD5sum: 1010faa21bb46c703e8efd4701fb9063 Description: library for 2D and 3D gray scale image processing, development files libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the development files for the library. Package: libmia-2.0-doc Source: mia Version: 2.0.13-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14011 Depends: neurodebian-popularity-contest, libjs-jquery Enhances: libmia-2.0-dev Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/libmia-2.0-doc_2.0.13-1~nd+1_all.deb Size: 837904 SHA256: 6efc28d4222b4fb91ba00745e720dcd6ae7588b802cf7b12051065e2f784bcd0 SHA1: e36b5e877dfe57819cadb4ca52228fa321a74390 MD5sum: de045c0e2212f343fde74be4c895c334 Description: library for 2D and 3D gray scale image processing, documentation libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the Doxygen generated API reference. Package: libmialm-dev Source: libmialm Version: 1.0.7-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 268 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libm/libmialm/libmialm-dev_1.0.7-2~nd+1_i386.deb Size: 70518 SHA256: 64cc4f11364a8ee9e17d3ff1474e8cd3d94e1e45e1caa123814d74035662a1aa SHA1: b6f26ebf9a11da4a9ca054795f47591fc33aa9d5 MD5sum: 42ea7105b246597b06f6744b57fd5681 Description: Development files for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the development files - headers, shared libraries, and pkg-config files. Package: libmialm-doc Source: libmialm Version: 1.0.7-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 233 Depends: neurodebian-popularity-contest Suggests: devhelp Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/libm/libmialm/libmialm-doc_1.0.7-2~nd+1_all.deb Size: 21290 SHA256: b0dd34278ad9a52597e66191c62a74baff467c13c2c870179302634477b9c8fa SHA1: 838394dd07ce9586d20f35968c02f61bac4c766f MD5sum: 7eefb55e9ae26db08d0750f3da3ec2a7 Description: Documentation for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the library documentation. Package: libmialm3 Source: libmialm Version: 1.0.7-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.16.0), libxml2 (>= 2.7.4) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libm/libmialm/libmialm3_1.0.7-2~nd+1_i386.deb Size: 18198 SHA256: 4f590cd11050dadf11c28842d45f37a991f6ac18a80dcef7fbb2cf10064003d9 SHA1: cec0a2e372de9255759b0d8959e5edf2a0edccdf MD5sum: 33bb0354761ecc76fe48eb4f3bb6b210 Description: Landmark handling for the MIA tool chain This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. Package: libmialm3-dbg Source: libmialm Version: 1.0.7-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libm/libmialm/libmialm3-dbg_1.0.7-2~nd+1_i386.deb Size: 52560 SHA256: 03128f970e392d3e2c7737f412078818b4b615fa6cd96cf4f5a83f97b0d42c9b SHA1: 84b20c3536d4b6135081612a5b877c3a9b70ba83 MD5sum: 0fe72837f06e9a1d02ca4edb92e1363b Description: Debug information for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package provides the debug information of the library. Package: libmtcp-dev Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libmtcp1 (= 1.2.5-1~nd+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libmtcp-dev_1.2.5-1~nd+1_i386.deb Size: 5556 SHA256: 705fab31b4094fe0c16a31d765704413661791735db70b985ae2f21ab8316234 SHA1: 6d346976b36525dcfdb6a77a76300460b506fcfb MD5sum: dd4b1b4321718fe7dc21c01b600256d7 Description: Developer package for libmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides header files needed for building programs with libmtcp. Package: libmtcp1 Source: dmtcp Version: 1.2.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libmtcp1_1.2.5-1~nd+1_i386.deb Size: 40450 SHA256: f65979ac13037fc1396accb347f8d06810ba68d0f9352d5738e2cdc567856098 SHA1: 04ec9cf475cbf9d79d7001592c9b072a573caf77 MD5sum: fa29780d6a1f5efdb95181845dfad046 Description: DMTCP library needed for checkpointing a standalone process DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides libmtcp which is needed by DMTCP to checkpoint a single standalone process. Package: libnifti-dev Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 458 Depends: neurodebian-popularity-contest, libnifti2 (= 2.0.0-2~nd+1) Conflicts: libfslio-dev, libnifti0-dev, libnifti1-dev, libniftiio-dev Replaces: libnifti1-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti-dev_2.0.0-2~nd+1_i386.deb Size: 133648 SHA256: 9d76a570b2c279d0569c8881242a671056457fb7a457d30ae063fec694551f05 SHA1: 179fe2b5fd5f337073cc99a28c060d460bcdd6b4 MD5sum: 14f49c8ddf715757a7847c74db957b1c Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti-doc Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1692 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-2~nd+1_all.deb Size: 140120 SHA256: 686d57e91867e23c55f747d863502416f84742afb987fd4ebb04c9c92d37d998 SHA1: 082412016af6c5d134f591ec409101525ab5916d MD5sum: 2e3ad2d99bfd2cebade7b1bcf6aaff07 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libnifti2 Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 304 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-2~nd+1_i386.deb Size: 101612 SHA256: c0b3ea312f2815d1a493866b7ce4b89421833ecb6840388f7a92793caea1b648 SHA1: 4a24f8c2683fffaabc2ea34134dab7a072237bc8 MD5sum: 4bca6528a59a537bfb662ae243484c0d Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libnlopt-dev Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 522 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libdevel Filename: pool/main/n/nlopt/libnlopt-dev_2.4.1+dfsg-1~nd+1_i386.deb Size: 158926 SHA256: 72f34ca36baae5297e5a9dc8cdf60148bcfca0c6cd1f778d0b32f1c910c8225f SHA1: d0e7b3f2ea2333d610b98c0686e67f087a73555c MD5sum: 93e24884ba65d3adc3cf3019e831cb91 Description: nonlinear optimization library -- development package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the header files, static libraries and symbolic links that developers using NLopt library will need. Package: libnlopt-guile0 Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), guile-1.8 Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt-guile0_2.4.1+dfsg-1~nd+1_i386.deb Size: 34510 SHA256: 0715a7b42ce816a0f3f1e79c6681d10a9ecba215c242fdf23e6fb7dfcd917f4a SHA1: c17554d90af81801a10cf4319c011fd013e1599e MD5sum: 7865ee354c9bfb32805825f0a1c6ac6f Description: nonlinear optimization library -- Guile bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the bindings for GNU Guile. Package: libnlopt0 Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 409 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.3.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt0_2.4.1+dfsg-1~nd+1_i386.deb Size: 150862 SHA256: 118a5778019147249549fa891032928aa6bedf1d458018b1a0b7768360093e0c SHA1: 4e03b53be3defb745e931e15416061ac5195d368 MD5sum: 8a33c8961f53ea3d251c81c757e4679e Description: nonlinear optimization library NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package provides the shared libraries required to run programs compiled with NLopt. To compile your own programs you also need to install libnlopt-dev. Package: libodin-dev Source: odin Version: 1.8.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15881 Depends: neurodebian-popularity-contest Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.5-1~nd+1_i386.deb Size: 4259724 SHA256: c47fa4b67cd2a752f8614748a49ff4155f3a735c1613068e0de1fd76f248b399 SHA1: e42e59f97fb4ebdc9fc1ce7b06f28f846378e338 MD5sum: 5ba81e6baa0e36dcc7e26fe6888d338a Description: static libraries and header for ODIN sequences This package provides static libraries and headers of the ODIN libraries odindata, adinpara, odinqt, odinseq and tjutils. They are required for building magnetic resonance imaging (MRI) sequences with ODIN. Package: libopenmeeg-dev Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 197 Depends: neurodebian-popularity-contest Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: libdevel Filename: pool/main/o/openmeeg/libopenmeeg-dev_2.0.0.dfsg-4~nd+1_i386.deb Size: 42560 SHA256: d13642574aa69cd7166adc42298f7ea4e76c6a8020eea8b5576a5151412cbaa2 SHA1: 6bd7901f2316d5e76d77f69b9c6f4e48e96a5aff MD5sum: 32ccbcd83cdb7a9b5ad4bb9240032880 Description: openmeeg library -- development files OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides static libraries and header files. Package: libopenmeeg1 Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1286 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libmatio0, libstdc++6 (>= 4.6) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/libopenmeeg1_2.0.0.dfsg-4~nd+1_i386.deb Size: 265164 SHA256: 746f96771611220af49941d3c06e887deae617eb88469ca42b8f01bac0b9c258 SHA1: 2a40bd0cbe781992275cbaa2ec72877142e80bc3 MD5sum: 1bbbc58974bd53c42d10076a0070ecfd Description: library for solving EEG and MEG forward and inverse problems OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides dynamic libraries. Package: libopenwalnut1 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6212 Depends: neurodebian-popularity-contest, fonts-liberation (>= 1.0.0), libboost-date-time1.54.0, libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph99, libopenthreads14, libstdc++6 (>= 4.6) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 1239670 SHA256: 23bfbce2191967ccc98f77cdcedfbb0eaacfdabe6f9fec250f65647944b78815 SHA1: e1988ee6e0d2d0f5741197b2cf7aadd9faf4497a MD5sum: 9f0b8a3a2957b473b1caf33f5f0362b0 Description: Framework for multi-modal medical and brain data visualization OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API of OpenWalnut. Package: libopenwalnut1-dev Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1997 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.4.0~rc1+hg3a3147463ee2-1~nd+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 3.0.0), libopenthreads-dev (>= 3.0.0), libboost-dev (>= 1.46.0), libboost-program-options-dev (>= 1.46.0), libboost-thread-dev (>= 1.46.0), libboost-filesystem-dev (>= 1.46.0), libboost-date-time-dev (>= 1.46.0), libboost-system-dev (>= 1.46.0), libboost-signals-dev (>= 1.46.0), libboost-regex-dev (>= 1.46.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 249408 SHA256: 2527c003322bb3d31e26d69be14966adcae3bc5fb423bd2da72c1b431c014448 SHA1: cdf9e1609231abb94685cf413808240497d390e3 MD5sum: eef067eb78cf1d89e811c773111be1d8 Description: Development files for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the headers for the core API of OpenWalnut. Package: libopenwalnut1-doc Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48075 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.4.0~rc1+hg3a3147463ee2-1~nd+1_all.deb Size: 2681636 SHA256: d042340fe7dcca76e8158aa438e6b3e15ff18b784521652317a66f70e98c397e SHA1: 3b9b8845f6836b1497663e58556a9c2ed9497b4c MD5sum: d3f9e8e06482d3b6b8bca3c09e3737cd Description: Developer documentation for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: libpam-cgroup Source: libcgroup Version: 0.37.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libcgroup1, libpam0g (>= 0.99.7.1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/libpam-cgroup_0.37.1-1~nd+1_i386.deb Size: 7764 SHA256: aa3e470d40896dc4f82b1dfbc583fda768a79fc3668ff4fe31256d1170c25e68 SHA1: 38d3117afc9e66e1895aa879bf457e13bb481b64 MD5sum: 87c6e98c0be079dff1d38a60b0f9266a Description: PAM module to move a user session into a cgroup Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This PAM module will move a user session into an existing cgroup by attempting to match uid and gid against the defined cgroup rules configuration. Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd+1_i386.deb Size: 12592 SHA256: e2103972b87bfe86303bc55744c9715b83bae571c93f8642a705a241940c9a7c SHA1: ec08d75ebc73c97b08c2dab2a61d783d4a971a01 MD5sum: 8a0ac31824ca54d62baca61a42d534ee Description: realtime digital filtering library (development files) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package contains the files needed to compile and link programs which use rtfilter. Package: librtfilter1 Source: rtfilter Version: 1.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.2) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd+1_i386.deb Size: 28756 SHA256: 88b083c13fd3894ee9c4d6cf3eaab5ba75a119d8666ebd34a91de567a72557ec SHA1: 79f6c81493ecd51453aebae2e303e4fd151e5bbe MD5sum: 20e3a74a58d439944316fbd64aee26df Description: realtime digital filtering library rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). Package: librtfilter1-dbg Source: rtfilter Version: 1.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd+1_i386.deb Size: 37934 SHA256: b27d10a343f4e1558574d644ed5dad5be2a79a963ffb17024455140002a303c8 SHA1: 87e756352963311132754f57947771c67b4b08f5 MD5sum: 9314b3abf11728fe5fdc81314beee3fd Description: realtime digital filtering library (debugging symbols) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package provides the debugging symbols of the library. Package: libsvm-dev Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd+1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libdevel Filename: pool/main/libs/libsvm/libsvm-dev_3.0-1~nd+1_i386.deb Size: 39860 SHA256: 3555022a1cac2b2922c85aafefe8bf6c0c1eb084bbf06ab954c997266b1c96ce SHA1: fe4c636fc25bb3b2e61ad73a5dcc4ac57924bb22 MD5sum: 768a805bea03722476e0550ce9c52692 Description: The LIBSVM header files These are the header files for LIBSVM, a machine-learning library. Package: libsvm-java Source: libsvm Version: 3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libsvm3-java Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm-java_3.0-1~nd+1_all.deb Size: 13482 SHA256: 1492b2687984b9a78136924b2b39e6e61aa7cce3db838336fee65922035b3ee0 SHA1: 13a26757ee98ac492d11734e3a474b294266c9f2 MD5sum: 98d98d2c95a2b57a1d0f0fd2ccbf5e27 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. . This package solely provides a symbolic link from svm.jar svm3.jar. Package: libsvm-tools Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, libc6 (>= 2.1), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python, gnuplot Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: devel Filename: pool/main/libs/libsvm/libsvm-tools_3.0-1~nd+1_i386.deb Size: 112556 SHA256: 84747ab920dc8d4588e2ef2fd65879ddd0a82cc401405ac7d5e4bdaf2ebd2a11 SHA1: 0c68a8680d5e5d790b67eb774781952c9b8918c4 MD5sum: 2fdb84b3e8fb4244ff7feb655508af27 Description: The LIBSVM binary tools LIBSVM is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. LIBSVM homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm Package: libsvm3 Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libs Filename: pool/main/libs/libsvm/libsvm3_3.0-1~nd+1_i386.deb Size: 42908 SHA256: 37acb94c6d0ebd4a7a89b8aab38ea9199030b9340e1feba2351b36c512222d3a SHA1: 0c6693a195f772057e4f645105a2999829f4f507 MD5sum: 5cae72a0496476aabfdae9488d11552c Description: library implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers. Package: libsvm3-java Source: libsvm Version: 3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, gij | java-gcj-compat | java1-runtime | java2-runtime Suggests: java-virtual-machine Conflicts: libsvm2-java (<= 2.91-2) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm3-java_3.0-1~nd+1_all.deb Size: 60478 SHA256: 801debe37d8eb71cf96cc8acb1f192c1ff8b0a237ff08c17575a3294f5f65b68 SHA1: e237f6806ac39e2fccaca7e875b4a02449cb425a MD5sum: 5f50baac283e77ea67d18c68132f91b8 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. Package: libvia-dev Source: via Version: 2.0.4-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 715 Depends: neurodebian-popularity-contest, libvia2 (= 2.0.4-2~nd+1), x11proto-core-dev Conflicts: via-dev Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libdevel Filename: pool/main/v/via/libvia-dev_2.0.4-2~nd+1_i386.deb Size: 189800 SHA256: 9d5596d0b0b17ce6a8fe21d3b25e6cff6707ed5185f89514c18bcb3277b9ac93 SHA1: 54fa8b2e0badb3e6686e1b18b8fcb512f95c36c9 MD5sum: e710af61c7a11e913dfffce346604a19 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the header files and static libraries of vialib, vxlib and viaio. Package: libvia-doc Source: via Version: 2.0.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 903 Depends: neurodebian-popularity-contest Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/v/via/libvia-doc_2.0.4-2~nd+1_all.deb Size: 118466 SHA256: b016bb696ef74d79bfb463aa989ab3d6b853f6dde7786e5fca7158c2cdc241bc SHA1: a75f6603432044f4e7a27b88453e558b9d97dd8d MD5sum: d816c6e69ff20beb455556cf9a20fcd0 Description: VIA library API documentation VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the library API reference documentation. Package: libvia2 Source: via Version: 2.0.4-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 477 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libsm6, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/libvia2_2.0.4-2~nd+1_i386.deb Size: 155630 SHA256: e952b1efbcee8c1724dd5c13483ac0298b2b4587b95f12dc3e6ac68a6c5ac435 SHA1: b1fb225130e4effab9fdf2a3b5defc771475d714 MD5sum: f3e0448e6b420f671c837f90447616ed Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package contains the shared libraries of vialib, vxlib and viaio. Package: libvistaio-dev Source: libvistaio Version: 1.2.16-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 173 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libv/libvistaio/libvistaio-dev_1.2.16-1~nd+1_i386.deb Size: 108364 SHA256: 8a3251dd14726d87ebff74c539aa849a02a18942d5d1c88c80e2e349c702b601 SHA1: 1e6a3238d3b4178ea745c6bb1ba6e51b0763c0a1 MD5sum: 6647cab6d5e803fda8abeeccf19f1a8f Description: Development files for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is the development package containing the header files, and pkg-config script, and man pages. Package: libvistaio14 Source: libvistaio Version: 1.2.16-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 93 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libv/libvistaio/libvistaio14_1.2.16-1~nd+1_i386.deb Size: 36076 SHA256: aa5486b33955b8643c87695165efc46e004dad00f4403a507d1e5eee0ae44c92 SHA1: 2285057e2470b2a95f67420171475b512520e134 MD5sum: 55585ff935f6878b33945f78073d1128 Description: Library for loading and storing various types of binary data Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. Package: libvistaio14-dbg Source: libvistaio Version: 1.2.16-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libv/libvistaio/libvistaio14-dbg_1.2.16-1~nd+1_i386.deb Size: 71858 SHA256: bb449ce74c5b43bb87f89b1435d1a4c56da3d28f8c7c51a589c6a445d1905886 SHA1: eb01258dbf32cf9f0ce160decaeac097d5dd960a MD5sum: 4b7d69ed55062dfd5c4873b74765c2ec Description: Debug information for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is package containing the debug information. Package: libvrpn-dev Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 702 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd+1), libvrpnserver0 (= 07.30+dfsg-1~nd+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd+1_i386.deb Size: 218310 SHA256: 00e087020c8ac2746d6f37b14bec6c5062b5dc0f401540c6db4e91cb886be370 SHA1: 16145c66e585084411449569f720d1480b4ebcee MD5sum: 88cf65d6b8b2b49f93300858630701d6 Description: Virtual Reality Peripheral Network (development files) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the development files Package: libvrpn0 Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 560 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpn0_07.30+dfsg-1~nd+1_i386.deb Size: 234298 SHA256: 801ecb041e8cf6af12427244d9a9272cd31e4304b0436aa5645a12ef107e3d0c SHA1: 8535c3f30d292d7ba5dc9f91002743f3457254f0 MD5sum: 014c3ccd14cf7cd0947ea364aa8af2a7 Description: Virtual Reality Peripheral Network (client library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the client shared library Package: libvrpnserver0 Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1281 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpnserver0_07.30+dfsg-1~nd+1_i386.deb Size: 479356 SHA256: cf2c3af8edcab1077a8005e3595f6187b5f3410ccf88d4ba6b178b90552896df SHA1: b8e93957f180071185e5fc1926653c395219d644 MD5sum: a395103ca6acb9eb30c717e53ed15a6e Description: Virtual Reality Peripheral Network (server library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the shared library use in the VRPN server Package: libvtk-dicom-java Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 275 Depends: neurodebian-popularity-contest, libvtk-java, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8 Suggests: java-virtual-machine Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: java Filename: pool/main/v/vtk-dicom/libvtk-dicom-java_0.5.5-2~nd+1_i386.deb Size: 73354 SHA256: aa6c569376bf1337c015abb189b2f48d57bab1dc8c01f3966b70e24386020699 SHA1: d2e9f76b405398f484fd24e29f71565dc85eafa5 MD5sum: 8b2329745a4e6087ec4a43f652b38853 Description: DICOM for VTK - java This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Java 1.5 bindings Package: libvtk-dicom0.5 Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1508 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.2.3.4) Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libs Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5_0.5.5-2~nd+1_i386.deb Size: 437086 SHA256: 0d765fca73633b7e690c61ae141871202cc603a433fa9a2f163810dfe0f0bbed SHA1: 02dd71461bc7df9c580971b6c3fdef8e00242c32 MD5sum: 56d73559b697314cc1868e3d23996e10 Description: DICOM for VTK - lib This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Libraries for runtime applications Package: libvtk-dicom0.5-dev Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 564 Depends: neurodebian-popularity-contest, libvtk-dicom0.5 (= 0.5.5-2~nd+1) Conflicts: libvtk-dicom0.4-dev Replaces: libvtk-dicom0.4-dev Provides: libvtk-dicom-dev Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libdevel Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5-dev_0.5.5-2~nd+1_i386.deb Size: 80818 SHA256: 317bcbc01c67b2b80509d9ae227c095b15a45986bd6546990db324daa589f471 SHA1: 7fe2e7018e4a151812e1e073cfb9d98a9ab7d91a MD5sum: 4613bb193b392773c65d3db680eeda45 Description: DICOM for VTK - dev This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Development headers Package: libvtk-java Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11334 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libmysqlclient16 (>= 5.1.50-1), libpq5, libstdc++6 (>= 4.1.1), libvtk5.8, zlib1g (>= 1:1.1.4) Suggests: libvtk5-dev (= 5.8.0-7+b0~nd+1), vtk-examples, vtk-doc, java-virtual-machine Homepage: http://www.vtk.org/ Priority: optional Section: java Filename: pool/main/v/vtk/libvtk-java_5.8.0-7+b0~nd+1_i386.deb Size: 5114638 SHA256: ceeb7602ffb738b2799053d867d2a06e2c79a10acb9be37a1fd3b5e94bcd1c38 SHA1: 90bf3e0a360647f1589a3443d38eb84e93294dc0 MD5sum: 80fe468555d6810daf118413c0833cbb Description: Visualization Toolkit - A high level 3D visualization library - java The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK Java language support. Package: libvtk5-dev Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12834 Depends: neurodebian-popularity-contest, libvtk5.8 (= 5.8.0-7+b0~nd+1), libgl1-mesa-dev | libgl-dev, libglu1-mesa-dev | libglu-dev, libx11-dev, libxt-dev, x11proto-core-dev, libc6-dev, libxss-dev, libxft-dev, libexpat-dev, libjpeg-dev, libpng-dev, libtiff-dev, zlib1g-dev, tcl8.5-dev, tk8.5-dev, libavformat-dev, libavutil-dev, libavcodec-dev, libswscale-dev, libgl2ps-dev, libfreetype6-dev, libxml2-dev, libpq-dev, libnetcdf-dev, libmysqlclient-dev, mpi-default-dev, libqt4-dev Suggests: vtk-examples, vtk-doc Conflicts: libvtk-dev, libvtk32-dev, libvtk4-dev Replaces: libvtk-dev, libvtk32-dev, libvtk4-dev Homepage: http://www.vtk.org/ Priority: optional Section: libdevel Filename: pool/main/v/vtk/libvtk5-dev_5.8.0-7+b0~nd+1_i386.deb Size: 2557304 SHA256: df2023bcf6f653ac3e1397e3b0fde7c899dc9644875c012095741adaec126b24 SHA1: 77d17c40d97483b807c8ad10d398749f9e93fafa MD5sum: b90991b72be40092596768dc8f9632b7 Description: VTK header files for building C++ code The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK header files required to compile C++ programs that use VTK to do 3D visualisation. Package: libvtk5-qt4-dev Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 537 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1), libvtk5.8-qt4 (= 5.8.0-7+b0~nd+1), libvtk5-dev (= 5.8.0-7+b0~nd+1) Conflicts: libvtk5-qt3-dev Breaks: libvtk5-qt4 (<< 5.4.2-8) Replaces: libvtk5-qt4 (<< 5.4.2-8) Homepage: http://www.vtk.org/ Priority: optional Section: libdevel Filename: pool/main/v/vtk/libvtk5-qt4-dev_5.8.0-7+b0~nd+1_i386.deb Size: 108484 SHA256: 6ec82a72ef564015869482af7c8bb9182b9539d6f3089dd75923643459469e37 SHA1: 2b5fe6fb82a11c81881893489b228c29e78beace MD5sum: 33cfa0578db29efb81ae869a39a8afea Description: Visualization Toolkit - A high level 3D visualization library - Qt devel The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK header files required to compile C++ programs that use VTK GUI support for Qt4. Package: libvtk5.8 Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45213 Depends: neurodebian-popularity-contest, libavcodec53 (>= 4:0.8-1~) | libavcodec-extra-53 (>= 4:0.8-1~), libavformat53 (>= 4:0.8-1~) | libavformat-extra-53 (>= 4:0.8-1~), libavutil51 (>= 4:0.8-1~) | libavutil-extra-51 (>= 4:0.8-1~), libc6 (>= 2.7), libexpat1 (>= 1.95.8), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libgl2ps0, libjpeg8 (>= 8c), libmysqlclient16 (>= 5.1.50-1), libnetcdfc++4, libnetcdfc7, libopenmpi1.3, libpng12-0 (>= 1.2.13-4), libpq5, libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 4.6), libswscale2 (>= 4:0.8-1~) | libswscale-extra-2 (>= 4:0.8-1~), libtiff4 (>= 3.9.5-2), libx11-6, libxml2 (>= 2.7.4), libxt6, zlib1g (>= 1:1.2.3.3) Suggests: openmpi-bin | lam-runtime, libvtk5-dev, vtk-examples, vtk-doc Conflicts: libvtk, libvtk32, libvtk4, libvtk4c2, libvtk4c2a, libvtk5, python-vtk (<< 4.4) Replaces: libvtk, libvtk32, libvtk4, libvtk4c2, libvtk4c2a, libvtk5 Homepage: http://www.vtk.org/ Priority: optional Section: libs Filename: pool/main/v/vtk/libvtk5.8_5.8.0-7+b0~nd+1_i386.deb Size: 15082570 SHA256: e250333072410d1c7bc26d3c9f87cd7ac57bf5172fab6d665a15fd0a3a5ae0a8 SHA1: 723746e758906b5eeacdb7fcaac7fe2d9ce35de2 MD5sum: d74fc2de1e4f789b3aa2861bf5c0eb96 Description: Visualization Toolkit - A high level 3D visualization library - runtime The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . VTK enables users to concentrate on their work by providing a large number of excellent and feature packed high level functions that do visualization. The library needs OpenGL to render the graphics and for Linux machines Mesa is necessary. The terms/copyright can be read in /usr/share/doc/vtk/README and README.html. VTK-Linux-HOWTO has information about using vtk, getting documentataion or help and instructions on building VTK. . This package provides the shared libraries needed to run C++ programs that use VTK. . To compile C++ code that uses VTK you have to install libvtk5-dev. Package: libvtk5.8-qt4 Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1262 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libqt4-network (>= 4:4.5.3), libqt4-sql (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.4.0), libvtk5.8 Homepage: http://www.vtk.org/ Priority: optional Section: libs Filename: pool/main/v/vtk/libvtk5.8-qt4_5.8.0-7+b0~nd+1_i386.deb Size: 500042 SHA256: 33febde6691c8e58ba4d7e07eeaddb69a452aad32484f40323b42fd999245386 SHA1: 7f3f810ee3d0b63d930e4e6092cca7a1399fbba8 MD5sum: b2afb2590738dac95e028e480d64bb54 Description: Visualization Toolkit - A high level 3D visualization library - Qt runtime The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package provides the VTK GUI support for Qt4. Package: libvw-dev Source: vowpal-wabbit Version: 7.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1929 Depends: neurodebian-popularity-contest, libvw0 (= 7.3-1~nd+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_7.3-1~nd+1_i386.deb Size: 304736 SHA256: 521d0dc2b201cbc40afb20234371529b1b77bfccdb1623728ba12514703599d1 SHA1: 9d16a947bd1869d2693ed62e7f64af2cc47585b9 MD5sum: 0f5fd6a15777a1de3b55c6e8fa345bce Description: fast and scalable online machine learning algorithm - development files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains development files needed to compile and link programs which use vowpal-wabbit's libraries. Package: libvw0 Source: vowpal-wabbit Version: 7.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 710 Depends: neurodebian-popularity-contest, libboost-program-options1.49.0 (>= 1.49.0-1), libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), zlib1g (>= 1:1.2.3.4) Homepage: http://hunch.net/~vw/ Priority: optional Section: libs Filename: pool/main/v/vowpal-wabbit/libvw0_7.3-1~nd+1_i386.deb Size: 232854 SHA256: 45f434fec965916638f029679c2d4bb37e7cbbdad0a8b9ed1e45b0a27b05fb10 SHA1: fe2d2a03943b651d592a0f439849b54378fe8a0e MD5sum: 11caf2b6a34c09fcd782e5e521a8317f Description: fast and scalable online machine learning algorithm - dynamic library Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains vowpal-wabbit's dynamic libraries. Package: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd+1_i386.deb Size: 27766 SHA256: 51d16415ebcd5fb4feb8632d57167d28eb5f5846d563b1c2e9cc21d3103a06d1 SHA1: 07e1629eecf68b13822ad4a2ce8a0c02ef631c3b MD5sum: e35cf1846c23d2b4471ae3e67eddb929 Description: Library to read/write EEG data file formats (development files) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package contains the files needed to compile and link programs which use xdffileio. Package: libxdffileio0 Source: xdffileio Version: 0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 86 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd+1_i386.deb Size: 46246 SHA256: c3a9bdd0da57f741100b2b466158a04ce6d789aa08ac743b4ceadc7eed8954e3 SHA1: 9478effc891af9e8247c761ff6afae2f20781473 MD5sum: 9483353c346b003e46c392f30803143e Description: Library to read/write EEG data file formats xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead of the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. Package: libxdffileio0-dbg Source: xdffileio Version: 0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd+1_i386.deb Size: 76432 SHA256: 4e4cefc1ff109328824b120b81c5b68f2b6a6fe5d0569c131464ade494142d9d SHA1: 25d32c13bb30fe5e6532087082e7892726544fcd MD5sum: e12bf8305a1d91691655c3c23ca5b279 Description: Library to read/write EEG data file formats (debugging symbols) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package provides the debugging symbols of the library. Package: lua-cnrun Source: cnrun Version: 2.0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: neurodebian-popularity-contest, libcnrun2, lua5.1 | lua5.2 Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/lua-cnrun_2.0.3-1~nd+1_i386.deb Size: 42166 SHA256: 5a3f01e0b2d9cb141f803c27e1762e6c8ddd6791d83436463e27623d8fa0153c SHA1: fc0cab2ac98aa2ef7f34b2ace17068a99f62fa66 MD5sum: 19cf5614635f6d1fa127c5c835db3a50 Description: NeuroML-capable neuronal network simulator (Lua package) CNrun is a neuronal network simulator, with these features: * a conductance- and rate-based Hodgkin-Huxley neurons, a Rall and Alpha-Beta synapses; * a 6-5 Runge-Kutta integration method: slow but precise, adjustable; * Poisson, Van der Pol, Colpitts oscillators and interface for external stimulation sources; * NeuroML network topology import/export; * logging state variables, spikes; * implemented as a Lua module, for scripting model behaviour (e.g., to enable plastic processes regulated by model state); * interaction (topology push/pull, async connections) with other cnrun models running elsewhere on a network, with interactions (planned). . Note that there is no `cnrun' executable, which existed in cnrun-1.*. Instead, you write a script for your simulation in Lua, and execute it as detailed in /usr/share/lua-cnrun/examples/example1.lua. Package: lua-cnrun-dbgsym Source: cnrun Version: 2.0.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 263 Depends: lua-cnrun (= 2.0.3-1~nd+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/lua-cnrun-dbgsym_2.0.3-1~nd+1_i386.deb Size: 240622 SHA256: bd7ae6f544f11170dd95da822f51dc4c65e92efddd4b01399ed5688571688df9 SHA1: 7f54141e2ae9b9eae82fa3a7d74ea2ca62869c22 MD5sum: 6522015bf190a4f86134a39ed3a0b471 Description: Debug symbols for lua-cnrun Auto-Built-Package: debug-symbols Build-Ids: 91d4b6860852fbca5791ed6ab542139fe1446271 Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 17 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.21~nd+1_all.deb Size: 7512 SHA256: 42b003748752925c2ffbeacc36fadfbaa2db1073c5e6db92ccbca5f4e359be07 SHA1: 16e884448f647ec24616bfb561e976f3a01830bf MD5sum: eb6d5800a7effbe0135889275e6d7d53 Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mia-tools Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7409 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd+1), libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-serialization1.54.0, libboost-system1.54.0, libboost-test1.54.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libglibmm-2.4-1c2a (>= 2.36.2), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libjpeg8 (>= 8c), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.36.0) Recommends: mia-doc Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mia/mia-tools_2.0.13-1~nd+1_i386.deb Size: 1371074 SHA256: f6beebcd90fb4ee46e1f967eb9f1a3440eabac5c556bef1cf32d1f3aeeba483d SHA1: f5cfcb9e1d254f697223b4c286e1c87eeda5e08f MD5sum: cccf13018b04092e79e01fc3b48bade1 Description: Command line tools for gray scale image processing Command lines tools to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-dbg Source: mia Version: 2.0.13-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27943 Depends: neurodebian-popularity-contest, mia-tools (= 2.0.13-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/mia-tools-dbg_2.0.13-1~nd+1_i386.deb Size: 26204282 SHA256: d66cdaa505e50c63d64f34e6d83b072affa507372cb9a15add7d4975409bed9f SHA1: 06ff58733df559e6b94489849581f55049185d71 MD5sum: dcb349328b5c9969e725f6611f23c7f6 Description: Debugging information for the MIA command line tools Debug information for the MIA command lines tools. These tools provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-doc Source: mia Version: 2.0.13-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1145 Depends: neurodebian-popularity-contest Enhances: mia-tools Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/mia-tools-doc_2.0.13-1~nd+1_all.deb Size: 78990 SHA256: 51558554d8205e9835e53d3e5a38f2f9da5222d20da8798e81788580b9265918 SHA1: 356c818a63c03035944b985e1419040aaa7a2278 MD5sum: c9a4f6051dec225ca8244a32e5feb682 Description: Cross-referenced documentation of the MIA command line tools Cross referenced documentation of the command line tools and plug-ins that are provided by the MIA gray scale image processing tool chain. These lines tools to provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes interactively from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statistics over images. Package: mialmpick Version: 0.2.10-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 168 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglade2-0 (>= 1:2.6.4-2~), libglib2.0-0 (>= 2.31.18), libglu1-mesa | libglu1, libgnomeui-0 (>= 2.22.0), libgtk2.0-0 (>= 2.20.0), libgtkglext1, libmialm3 (>= 1.0.7), libpng12-0 (>= 1.2.13-4), libpopt0 (>= 1.14), libvistaio14 (>= 1.2.14), libx11-6 Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mialmpick/mialmpick_0.2.10-1~nd+1_i386.deb Size: 68312 SHA256: 0570270599723f8a29fcbaf86960d8c331099533b4d3968291ab080dd0d01fca SHA1: 4f1d1ba6efe8e57100fdc4e4c70a4892dcf6d053 MD5sum: 6ec890b648a70779acb5cd1d3eceef7b Description: Tools for landmark picking in 3D volume data sets This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. Package: mialmpick-dbg Source: mialmpick Version: 0.2.10-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 177 Depends: neurodebian-popularity-contest, mialmpick (= 0.2.10-1~nd+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mialmpick/mialmpick-dbg_0.2.10-1~nd+1_i386.deb Size: 155946 SHA256: 25ddf7dd9dff265b3156c6a9c98bac566fda90ae6e4f73367bfcdc05ae97d2a3 SHA1: 550a52920385ea3ce7f24297073df570da7cb29c MD5sum: 1d792cab3611087806d558ee2b179fd9 Description: Debug information landmark picking tool mialmpick This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. This package provides the debug information. Package: mitools Source: odin Version: 1.8.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6745 Depends: neurodebian-popularity-contest, libatlas3gf-base, libblitz0ldbl, libc6 (>= 2.3.6-6~), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.6), libvtk5.8, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.5-1~nd+1_i386.deb Size: 2648414 SHA256: bb97136a046724ae57cc80cc8abc9510fc756af7d6eae875a0e6985e6580bf06 SHA1: 59c6d5911318d225bc82ce7bbfb5b0cf3e61110d MD5sum: 697d9dec369c6a032f2d1f6acb2ca62e Description: view, convert and perform basic maths with medical image datasets The three contained tools micalc, miconv and miview are handy command-line utilities for converting, manipulating and viewing medical image data in various formats (DICOM, NIfTI, PNG, binary data, ...). Package: mriconvert Version: 1:2.0.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5376 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.2), libwxgtk3.0-0 (>= 3.0.2) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.8-1~nd+1_i386.deb Size: 836944 SHA256: 4fe2eaef7e086530a3547d5177b2187a67dd4a86a649c45b72776c97be2eff7a SHA1: fc9ea8ba230e44d99b6e82561e6fba3b8cc7cba0 MD5sum: 1bccb8b8a9203809a89325caecd3bfc0 Description: medical image file conversion utility MRIConvert is a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats. Package: mricron Version: 0.20140804.1~dfsg.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 12557 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libpango-1.0-0 (>= 1.14.0), libx11-6, mricron-data Recommends: pigz Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20140804.1~dfsg.1-1~nd+1_i386.deb Size: 2081990 SHA256: fed596f690301dc48289faf60d4b7ab983433d180953c0e9a488f547010206fa SHA1: 287b420c5ce5270a56326ba14ac29ff569751911 MD5sum: 132b57e155d6831ff8b644b188c43bf5 Description: magnetic resonance image conversion, viewing and analysis This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . In addition to 'mricron', this package also provides 'dcm2nii' that supports converting DICOM and PAR/REC images into the NIfTI format, and 'npm' for non-parametric data analysis. Package: mricron-data Source: mricron Version: 0.20140804.1~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1710 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20140804.1~dfsg.1-1~nd+1_all.deb Size: 1661584 SHA256: a8efc9af5e1b70f033b6614058ec4922357638a5a358d3150ef484c10bbf345c SHA1: 647ab896ea9b9c2d8c1a02661725b8aaea9c1390 MD5sum: 73a4aef17ff9025d2365cb04480512ec Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20140804.1~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1022 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20140804.1~dfsg.1-1~nd+1_all.deb Size: 580068 SHA256: a8ca01a92a6803851700c880726c6e0eeaed4ada4184718c44c07e41c600816e SHA1: 3ca8963aadc1f5609e9c52a9287c012fa659b3e6 MD5sum: 0d1df88b9a4fd32bf31c1c184c0cbc17 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: mridefacer Version: 0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.1-1~nd+1_all.deb Size: 637008 SHA256: fe0a8a08a47800291a6ac87f7b3d1599813b9d6d00d6d2f3ee2786b5b4cb6fdf SHA1: 89a5e3658330dbfcc592dff4dc791faeb78ddc2a MD5sum: df8e7a8a1df48fdefc063e5b426a1cdf Description: de-identification of MRI data This tool creates a de-face mask for volumetric images by aligning a template mask to the input. Such a mask can be used to remove image data from the vicinity of the facial surface, the auricles, and teeth in order to prevent a possible identification of a person based on these features. mrideface can process individual or series of images. In the latter case, the computed transformation between template image and input image will be updated incrementally for the next image in the series. This feature is most suitable for processing images that have been recorded in temporal succession. Package: mrtrix Version: 0.2.12-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 8563 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1 (>= 2.22.1), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libcairomm-1.0-1 (>= 1.6.4), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.36.2), libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1c2a (>= 1:2.24.0), libice6 (>= 1:1.0.0), libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpangoft2-1.0-0 (>= 1.14.0), libpangomm-1.4-1 (>= 2.27.1), libpangox-1.0-0 (>= 0.0.2), libsigc++-2.0-0c2a (>= 2.2.0), libsm6, libstdc++6 (>= 4.6), libx11-6, libxmu6, libxt6, zlib1g (>= 1:1.1.4) Suggests: mrtrix-doc, octave, matlab-support Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.12-1~nd+1_i386.deb Size: 1445860 SHA256: 379a68e80436d43149923b169af616bfda0a9c774dc064c54d57e49b5ec6a59e SHA1: 0ee9072dd65ee6a0833c8bf6ddd6f24b90b5ff77 MD5sum: ad4583c0a143f5df924b6c4778ad52ed Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. Package: mrtrix-doc Source: mrtrix Version: 0.2.12-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3528 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.12-1~nd+1_all.deb Size: 3199776 SHA256: 4abb82cb1f240754d3bead18288426bdd8862b186cbca4ace358b42c97a1dfe7 SHA1: b0e995bc80a61c78c328a8a3d226cb35155ebd31 MD5sum: 6e421c1e6eb30afffc6a98884e70112e Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mwrap Version: 0.33-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Recommends: octave Homepage: http://www.cims.nyu.edu/~dbindel/mwrap/ Priority: extra Section: devel Filename: pool/main/m/mwrap/mwrap_0.33-1~nd+1_i386.deb Size: 218026 SHA256: c4e15264033b695826244e087a760efcd4b7c4dd41ef0f050185187c8d75ea25 SHA1: 17963dcee1d08ec184f5f052361a8acb4f8ab874 MD5sum: e9568040a8268a10fc5a7d4f27e8ca59 Description: Octave/MATLAB mex generator MWrap is an interface generation system in the spirit of SWIG or matwrap. From a set of augmented Octave/MATLAB script files, MWrap will generate a MEX gateway to desired C/C++ function calls and Octave/MATLAB function files to access that gateway. The details of converting to and from Octave/MATLAB's data structures, and of allocating and freeing temporary storage, are hidden from the user. Package: ncdu Version: 1.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 97 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libncursesw5 (>= 6), libtinfo5 (>= 6) Homepage: http://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.11-1~nd+1_i386.deb Size: 42080 SHA256: bb2b6ffb0de716dbd526b6364b64afd9c55783b17bc320c7b3e621189091c653 SHA1: e98030f32a0d3e8c6b9785f19a2bf0041de76012 MD5sum: c7d5992bf5fadae596d55e26a8df417f Description: ncurses disk usage viewer Ncdu is a ncurses-based du viewer. It provides a fast and easy-to-use interface through famous du utility. It allows one to browse through the directories and show percentages of disk usage with ncurses library. Package: ncdu-dbgsym Source: ncdu Version: 1.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: ncdu (= 1.11-1~nd+1) Homepage: http://dev.yorhel.nl/ncdu/ Priority: extra Section: debug Filename: pool/main/n/ncdu/ncdu-dbgsym_1.11-1~nd+1_i386.deb Size: 47270 SHA256: c0eb47315b73fb89c66de148558c530b070ba2fd4890ad6b38cb08fc800b3c0d SHA1: 85752c7d62018698991bbb7568d87f8299ed525e MD5sum: e20e2d2e6a12b88b70934f61ce640bc9 Description: Debug symbols for ncdu Auto-Built-Package: debug-symbols Build-Ids: 730b30f0102d0980346231365d787dee23d60d68 Package: netselect Version: 0.3.ds1-25~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 46 Depends: neurodebian-popularity-contest, libc6 (>= 2.1), debconf (>= 0.5) | debconf-2.0 Suggests: netselect-apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect_0.3.ds1-25~nd+1_i386.deb Size: 31172 SHA256: ef7fc562979618ac4aad1aa5a95632567b5bd0a82278087f5402a815ed520bb4 SHA1: 5b34f3a09fbd1c32d4c5deb4f888fbfcbaa1dfa9 MD5sum: 73b26583b217f0c28b12b33bfde27677 Description: speed tester for choosing a fast network server This package provides a utility that can perform parallelized tests on distant servers using either UDP traceroutes or ICMP queries. . It can process a (possibly very long) list of servers, and choose the fastest/closest one automatically. Package: netselect-apt Source: netselect Version: 0.3.ds1-25~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, wget, netselect (>= 0.3.ds1-17) Recommends: curl Suggests: dpkg-dev Enhances: apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect-apt_0.3.ds1-25~nd+1_all.deb Size: 16790 SHA256: 97280acc29ad04928a2171d14f076325e227c153af82af6002a68cc2f04cdc97 SHA1: d5262a5b9d1465c562d40e782a920ff0b19c6c0e MD5sum: 22f92cf44ff49488ceeed27c77ee0d4e Description: speed tester for choosing a fast Debian mirror This package provides a utility that can choose the best Debian mirror by downloading the full mirror list and using netselect to find the fastest/closest one. . It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.37.4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: python, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.37.4~nd+1_all.deb Size: 33146 SHA256: 1d343059e45cde8e7e710982f3601a21d689965a21d2beec3af46392e3401311 SHA1: 34bf63893b268e50434a4cc153d171056d23c5bd MD5sum: df97775aedaa371b0456aca72fdf2f71 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.37.4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.37.4~nd+1_all.deb Size: 10158 SHA256: df3824194e622f6b7699bfd1e51f211907362316470f47de5d5bfa14d018f69f SHA1: 2a63f30622f106d37ee92cc0fb6b8cac89eea6b4 MD5sum: dd1279dd06e7ebd8d9e0d120c1cb742c Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.37.4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 189 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.37.4~nd+1_all.deb Size: 116132 SHA256: 85060f7c202a67fd4113674d39055e69ec1a5368d55311747590645135c8a90e SHA1: e4c6d1da5b4a596b264e7e293d6fb9a426a563b4 MD5sum: da4a329c604a0a9a0891336ebc9bda64 Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.37.4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils, cowbuilder Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.37.4~nd+1_all.deb Size: 32508 SHA256: d4e342d2588e1ccf67ff1c524ef9f9656ee2b56a196b7539062795cca5a6308f SHA1: 4c3cbad7274e3c43c8425e5d027c8f7d9ee7595d MD5sum: 6def54f646e50610bb02aeeda749d4df Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-guest-additions Source: neurodebian Version: 0.32~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Pre-Depends: virtualbox-ose-guest-utils, virtualbox-ose-guest-x11, virtualbox-ose-guest-dkms Depends: sudo, neurodebian-desktop, gdm | lightdm, zenity Recommends: chromium-browser, update-manager-gnome, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.32~nd+1_all.deb Size: 14030 SHA256: a7b1c22382ef38bcb02197d3f88ef51f8e1f2f5152ad7c18e6d040b6803d3c9f SHA1: 0b8bca805ed756dadec92b4e76d3701ed9b400c6 MD5sum: 6bd47ac8ce904b7e445aca38e8d806a8 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-keyring Source: neurodebian Version: 0.32~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-keyring_0.32~nd+1_all.deb Size: 7418 SHA256: 6a6686a0d7186992aeeb0520359ca34c15210792010af928b382b5f4caa888a7 SHA1: 89cec44d84d971babd0be50534f2560073246957 MD5sum: 778a5b4f7b7cd1933cfb8808beedb823 Description: GnuPG archive keys of the NeuroDebian archive The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.4~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.4~nd+1_all.deb Size: 12180 SHA256: 9b1c8bd8f62cf15d6d4fc0e0d62ee664a6adc695e426e1687a000d85ad7eb545 SHA1: 2a4bab2a2c4c45e52307fe5a0954d9206eab11a3 MD5sum: c43d852ee51404f29b19143edd0307f9 Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nifti-bin Source: nifticlib Version: 2.0.0-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 178 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-2~nd+1_i386.deb Size: 56080 SHA256: bebb79128dd170df823ed16fc6af1855a4facb661e3b2acca09a6061a1985f0e SHA1: 0e68f782a1baaeaa55bfb7688f321638fe3fbecc MD5sum: a4099b159f4336429d9e4f517b576322 Description: tools shipped with the NIfTI library Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test). Package: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2270 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgdcm2.6, libinsighttoolkit4.9, libstdc++6 (>= 5.2), nifti2dicom-data (= 0.4.11-1~nd+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.11-1~nd+1_i386.deb Size: 352530 SHA256: 124c95965e5f7388779fdc7a6f2c236f9d911fa0e78db1ea0a178144698e3aa8 SHA1: 660e6cdf84ed26701e0e35ec7770270d24ea1890 MD5sum: 8d9fbbd4e04d17a91cad08edf3f4d3c8 Description: convert 3D medical images to DICOM 2D series Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package includes the command line tools. Package: nifti2dicom-data Source: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 647 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.11-1~nd+1_all.deb Size: 616676 SHA256: b4e0d532aed4c6f71600c96de5ce5c284f2dcff6142c17c104b285fb5c608ce0 SHA1: 2dd827d7ffea474a3b83920ce6cebe36e28d55c9 MD5sum: 8df5623f6d0fe2926cf1c6c32ebe7a80 Description: data files for nifti2dicom This package contains architecture-independent supporting data files required for use with nifti2dicom, such as such as documentation, icons, and translations. Package: nifti2dicom-dbg Source: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 28145 Depends: neurodebian-popularity-contest, nifti2dicom (= 0.4.11-1~nd+1) | qnifti2dicom (= 0.4.11-1~nd+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: extra Section: debug Filename: pool/main/n/nifti2dicom/nifti2dicom-dbg_0.4.11-1~nd+1_i386.deb Size: 5659492 SHA256: 5b8f7bb81d2a5b5a3c58c107bc56b53b6c90b4502491d4d0eae8f1e94c072f7e SHA1: 15528c621ce9bd5b08c59787b5327efcf2c25d9c MD5sum: 3d4b910e427c179af565f30adb87500d Description: convert 3D medical images to DICOM 2D series (debug symbols) Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package contains the debugging symbols necessary to debug crashes in nifti2dicom. Package: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 36 Depends: python-nibabel (>= 1.0.0), python-nipy (>= 0.1.2+20110114), python-dipy (>= 0.5.0), python-nipype (>= 0.3.3), python-nitime (>= 0.2) Suggests: python-mvpa, psychopy Homepage: http://www.nipy.org Priority: extra Section: python Filename: pool/main/n/nipy-suite/nipy-suite_0.1.0-2_all.deb Size: 3898 SHA256: 882c8580ebd2d458a92f8d851d1ec9291fecf05f6ed98a8b754eb831c95368c8 SHA1: 6501d1d201160520f5aad29d0f9007c17b7d9778 MD5sum: eb090e568264d2f439892bcb98485b8c Description: Neuroimaging in Python NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. nipy-suite is a metapackage depending on the projects developed under NiPy project umbrella, such as - nibabel: bindings to various neuroimaging data formats - nipy: analysis of structural and functional neuroimaging data - nitime: timeseries analysis - dipy: analysis of MR diffusion imaging data - nipype: pipelines and worfklows Package: nipy-suite-doc Source: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 32 Depends: python-nibabel-doc (>= 1.0.0), python-nipy-doc (>= 0.1.2+20110114), python-dipy-doc (>= 0.5.0), python-nipype-doc (>= 0.3.3), python-nitime-doc (>= 0.2) Suggests: python-mvpa-doc Homepage: http://www.nipy.org Priority: extra Section: doc Filename: pool/main/n/nipy-suite/nipy-suite-doc_0.1.0-2_all.deb Size: 2250 SHA256: 54985bd9d6eaa352608b357f2deeb066bd2ac12d3c2e463082f5d9178701bbad SHA1: 5d2f5e94ff6b7ff737fe966f4a2e5ff67df93cca MD5sum: 37d2f8b6b6d203edf208afb0cdb56fa3 Description: Neuroimaging in Python -- documentation NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. . nipy-suite-doc is a metapackage depending on the documentation packages for NiPy projects. Package: nuitka Version: 0.5.21.2+ds-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2919 Depends: neurodebian-popularity-contest, g++-5 | g++-4.9 | g++-4.8 | g++-4.7 | g++-4.6 (>= 4.6.1) | g++-4.5 | g++-4.4 | clang (>= 3.0), scons (>= 2.0.0), python-dev (>= 2.6.6-2), python:any (>= 2.7.5-5~) Recommends: python-lxml (>= 2.3), python-qt4 (>= 4.8.6), strace Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.21.2+ds-1~nd+1_all.deb Size: 611698 SHA256: 7cfe8c59312af7b5fa046f84265bb9bce36a96cbed379bb8c33c0771bfb43768 SHA1: 2326b7bb2da4e3d01894fb9d38d9198993b49413 MD5sum: 6b49714df1096804550be81ab0589532 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: numdiff Version: 5.6.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 836 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.6.0-1~nd+1_i386.deb Size: 592192 SHA256: a0ff7e188ff166212b64886cb5b6c5f2f8d8690f7cf86886778be883148e8e82 SHA1: 7136dae9ed897719fb7b6ac67e3a6d591680ff78 MD5sum: a7021b4bccddc0efe24e3223ba33ab83 Description: Compare similar files with numeric fields. Numdiff is a console application that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. It is similar diff or wdiff, but it is aware of floating point numbers including complex and multi-precision numbers. Numdiff is useful to compare text files containing numerical fields, when testing or doing quality control in scientific computing or in numerical analysis. Package: octave-biosig Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libbiosig1, libc6 (>= 2.4), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-2~nd+1_i386.deb Size: 20550 SHA256: 69c6e20d379a89dd1b49c2bb9add6eeaafcfbafef42aa71e2b7d9f15c30f01ea SHA1: c621af2f360a21b3536d8c2fce412351432fce7a MD5sum: 868634dea00e92200be047819140bab6 Description: Octave bindings for BioSig library This package provides Octave bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: octave-gdf Source: libgdf Version: 0.1.2-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 315 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdf0, liboctave1, libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-2~nd+1_i386.deb Size: 126066 SHA256: 63b68062504c9ec774ee58d2e00c2cbc3920b525bd83ef6fcd057020d79ac08d SHA1: 0875fd36360ea19d113c357b2f57eeae136faea1 MD5sum: a251a40b7eddd270a371b33c1cb49e1b Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1), libc6 (>= 2.3.4), libgcc1 (>= 1:4.1.1), liboctave1 (>= 3.6.2), libstdc++6 (>= 4.1.1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: math Filename: pool/main/n/nlopt/octave-nlopt_2.4.1+dfsg-1~nd+1_i386.deb Size: 25260 SHA256: eb6caee37904278782e78e9661d783b19a4a0ca0e78719bd1ad38b2a78301379 SHA1: 33e3ce58cb61b5258fdc9665397c65cab8b01edd MD5sum: c1d6a2b342a8b648d85ce0fa9f340003 Description: nonlinear optimization library -- GNU Octave package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the module for the GNU Octave. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.12.20160514.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3365 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.12), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglew1.13 (>= 1.12.0), libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.4.0), liboctave3v5, libopenal1 (>= 1.14), libpciaccess0 (>= 0.8.0+git20071002), libstdc++6 (>= 4.1.1), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3, libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.12.20160514.dfsg1-1~nd+1), psychtoolbox-3-lib (= 3.0.12.20160514.dfsg1-1~nd+1) Recommends: octave-audio, octave-image, octave-optim, octave-signal, octave-statistics Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.12.20160514.dfsg1-1~nd+1_i386.deb Size: 715572 SHA256: 8ca61018b1eb2bda03a4d342c87c76e5858b4c03a71e7b3550d030164e7efb09 SHA1: 3874b34dde51db2757d6f6f9dd27de976191d431 MD5sum: 2e0de22cc37e97ffc537b42342979f8b Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: odin Version: 1.8.5-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4061 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6), libvtk5.8, mitools (= 1.8.5-1~nd+1), zlib1g (>= 1:1.1.4), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, libblas-dev | libatlas-base-dev, xterm | x-terminal-emulator, gdb Recommends: liboil0.3-dev | liboil-dev, libdcmtk1-dev Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/odin_1.8.5-1~nd+1_i386.deb Size: 1649208 SHA256: 2bfe3ac9c6fad3ecc52ccb6ff348a69f8ab972c48686f5b104dae2589028d187 SHA1: 8b430f12e97c30873afcd3954e5f23daf69c5c13 MD5sum: e4c4c0f6d65f2b62882b8ddca17da578 Description: develop, simulate and run magnetic resonance sequences ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework. Package: openelectrophy Version: 0.0.svn143-1~sid.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 92 Depends: python, python-pyssdh (= 0.0.svn143-1~sid.nd1) Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: science Filename: pool/main/o/openelectrophy/openelectrophy_0.0.svn143-1~sid.nd1_all.deb Size: 34360 SHA256: 15e2e7aefc8b1af85c120f648897950db56fb71fe5999c5a3ca51b1c70bc0fb4 SHA1: 84e8c88b4d56f44c987808ba5c54b1799a0403ee MD5sum: 0eaf72ffeedd568782315315e95b4dfe Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy GUI. Package: openmeeg-tools Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 546 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libstdc++6 (>= 4.1.1) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/openmeeg-tools_2.0.0.dfsg-4~nd+1_i386.deb Size: 185624 SHA256: d475120470910c3b7f99ab5c8bf19125bb325e6ffce3829429599fe32862829b SHA1: 98d26f9fcecc51d7ab1261abe5b2dfba37cab2cb MD5sum: ed58713dfba3f8766d183b39b26b27b4 Description: openmeeg library -- command line tools OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides command line interface to openmeeg functionality. Package: opensesame Version: 0.27.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26639 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-qt4, python-pygame (>= 1.8.1~), python-numpy (>= 1.3.0~), python-qscintilla2, gnome-icon-theme Recommends: python-serial (>= 2.3~), psychopy (>= 1.64.0), python-pyaudio (>= 0.2.4), python-imaging (>= 1.1.7), python-opengl (>= 3.0.1), expyriment (>= 0.5.2), ipython-qtconsole (>= 0.12), python-markdown Homepage: http://www.cogsci.nl/software/opensesame Priority: extra Section: science Filename: pool/main/o/opensesame/opensesame_0.27.4-2~nd+1_all.deb Size: 24612138 SHA256: b223ca6a17d69da2863cd4ddba9b499d0a3b8b554862fe6623ec17c63eab74a4 SHA1: bf7885235942fade9f1256a1968979918212a7bf MD5sum: daca1a779d091bd428ceb9f90818b04d Description: graphical experiment builder for the social sciences This graphical environment provides an easy to use, point-and-click interface for creating psychological experiments. In addition to a powerful sketchpad for creating visual stimuli, OpenSesame features a sampler and synthesizer for sound playback. For more complex tasks, OpenSesame supports Python scripting using the built-in editor with syntax highlighting. Package: openvibe-bin Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1182 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd+1), openvibe-data (= 0.14.3+dfsg2-1~nd+1), libboost-regex1.49.0 (>= 1.49.0-1), libboost-thread1.49.0 (>= 1.49.0-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.18.0), libopenal1, libpango1.0-0 (>= 1.14.0), libstdc++6 (>= 4.6), zlib1g (>= 1:1.1.4) Homepage: http://openvibe.inria.fr Priority: extra Section: science Filename: pool/main/o/openvibe/openvibe-bin_0.14.3+dfsg2-1~nd+1_i386.deb Size: 451534 SHA256: 984943efc024ddb069a2b1caddbfbebec5aacd44403f5cdd7f8869867b0968bc SHA1: d24659ca662c2905d27d4a9283bb6f418219d270 MD5sum: f4d4ad70e92421b010b85b65ae3d3804 Description: Software platform for BCI (tools and demos) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains differents executable including acquisition server, tools and demos. Package: openvibe-data Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9328 Depends: neurodebian-popularity-contest Homepage: http://openvibe.inria.fr Priority: extra Section: science Filename: pool/main/o/openvibe/openvibe-data_0.14.3+dfsg2-1~nd+1_all.deb Size: 2024448 SHA256: 577686111aba7c2eafbe4c25ab1052d26958bd64471319884a324b9825c07d16 SHA1: 2ab042fb217b2ffec6f55b478cf1e8405786832a MD5sum: 8d7802d259052ef28a0dd2febd7fa4e9 Description: Software platform for BCI (Data files) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the data files. Package: openvibe-dev Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 715 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd+1) Homepage: http://openvibe.inria.fr Priority: extra Section: libdevel Filename: pool/main/o/openvibe/openvibe-dev_0.14.3+dfsg2-1~nd+1_i386.deb Size: 100674 SHA256: ff9f381121db6f2e6ec67bff0afb474d69ee609d903279a7c3ed7a9ca0679ac8 SHA1: 758ac36f106dde3de1f4d2927559239bf256a275 MD5sum: 2d00a8e7fdac02dfbb62e56966596990 Description: Software platform for BCI (development files) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the development files. Package: openvibe-libs Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2084 Depends: neurodebian-popularity-contest, openvibe-data (= 0.14.3+dfsg2-1~nd+1), libc6 (>= 2.4), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libogre-1.7.4, libstdc++6 (>= 4.6), libx11-6 Homepage: http://openvibe.inria.fr Priority: extra Section: libs Filename: pool/main/o/openvibe/openvibe-libs_0.14.3+dfsg2-1~nd+1_i386.deb Size: 642166 SHA256: 6b4db4e7acf281790138138304feab4db8a073808f0c86c122e8c335ddd92d86 SHA1: e142dac044a7c70900d47eff950cdb242d83aa8a MD5sum: 0be713922e072ab2af1e0afcd923633d Description: Software platform for BCI (shared libraries) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the shared libraries. Package: openvibe-plugins Source: openvibe Version: 0.14.3+dfsg2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5367 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd+1), openvibe-data (= 0.14.3+dfsg2-1~nd+1), libalut0 (>= 1.0.1), libboost-regex1.49.0 (>= 1.49.0-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.18.0), libitpp7, liblapack3 | liblapack.so.3 | libatlas3-base, libopenal1, libpango1.0-0 (>= 1.14.0), libstdc++6 (>= 4.6), libvorbisfile3 (>= 1.1.2), libvrpnserver0, libx11-6 Homepage: http://openvibe.inria.fr Priority: extra Section: libs Filename: pool/main/o/openvibe/openvibe-plugins_0.14.3+dfsg2-1~nd+1_i386.deb Size: 1664630 SHA256: e3bc01cb21e9b917cfccb1cd7d0f42eaed75f3616547b36f66559d96d820e678 SHA1: bde6c9449832b2b02362c0a6d161fde27e4d8c98 MD5sum: e95a11a64c4e35fa3615b1c2521b2d9b Description: Software platform for BCI (plugins) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the plugins. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17721 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.54.0, libboost-regex1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph99, libopenthreads14, libopenwalnut1, libstdc++6 (>= 4.6) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 3280664 SHA256: 7898aca9e0557d86d1e3a1f06117423b39057fa572593aaf3c0f5c4781a4dc14 SHA1: f05874408d181b83478d433f85f089a275e1c431 MD5sum: d4b6f26ee8f7fc10e17d3e1be9296f2f Description: Loaders, algorithms and visualization modules for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the currently available modules for OpenWalnut. Package: openwalnut-qt4 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1924 Depends: neurodebian-popularity-contest, libboost-filesystem1.54.0, libboost-program-options1.54.0, libboost-regex1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libopenscenegraph99, libopenthreads14, libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.1.0~2011week13), libstdc++6 (>= 4.6), libx11-6 Recommends: openwalnut-modules (= 1.4.0~rc1+hg3a3147463ee2-1~nd+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.4.0~rc1+hg3a3147463ee2-1~nd+1_i386.deb Size: 739146 SHA256: 5e9beef82d5f01d69ce4999c9c133132f948bf63d8491364fc844092c9770a72 SHA1: c145290270dda7fad25dc0fcea8543b0d1984e3a MD5sum: 7df714ef3d89e082ef3dd9256255cb13 Description: Qt based user interface for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the QT4 GUI for OpenWalnut. Package: packaging-tutorial Version: 0.8~nd0 Architecture: all Maintainer: Lucas Nussbaum Installed-Size: 1550 Priority: extra Section: doc Filename: pool/main/p/packaging-tutorial/packaging-tutorial_0.8~nd0_all.deb Size: 1488332 SHA256: 491bc5917f698fee06888998e8a295a6caac2950148bb160b457aff72437eadb SHA1: c5d75d04b01f681ead660ce8d8fe068ab887fba0 MD5sum: 8fbf7c362fd4091a78c50404eb694402 Description: introduction to Debian packaging This tutorial is an introduction to Debian packaging. It teaches prospective developers how to modify existing packages, how to create their own packages, and how to interact with the Debian community. In addition to the main tutorial, it includes three practical sessions on modifying the 'grep' package, and packaging the 'gnujump' game and a Java library. Package: psychopy Version: 1.83.04.dfsg-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15088 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.83.04.dfsg-2~nd+1_all.deb Size: 6133504 SHA256: 5a51428a188f230695b67857a223d408641d3a5a349bf3f0737dfdabe13e8d8b SHA1: 89e33dba2565b3a998863ab68559d263a0b99491 MD5sum: 9aa8755ac3045cc18cfeb071ba269bcd Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.12.20160514.dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253492 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.12.20160514.dfsg1-1~nd+1_all.deb Size: 24122212 SHA256: b4ae93ef4b05ea26fd92b68ca772c3174e2baa37aebf0a8eb04cf3c65f62cd96 SHA1: 5a04ea825929f233039902f49117d6e6e4c5ddad MD5sum: 1ca516b07b3b2408cc8288f11b687bdd Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.12.20160514.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2758 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.12.20160514.dfsg1-1~nd+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.12.20160514.dfsg1-1~nd+1_i386.deb Size: 592740 SHA256: 25035c4337f14f662cd4564a83450073efedb0606a5124db141ffbfcae24a843 SHA1: a77386a0288aeabdf4b1faaaa6866f73c4cab2b2 MD5sum: a8ce1d9d268fa30cecb31893763a62c4 Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.12.20160514.dfsg1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 172 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.6) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.12.20160514.dfsg1-1~nd+1_i386.deb Size: 72792 SHA256: 328448f92b529c2c6384963e555e362f240d6fcf42e67e596501715e3929b8ba SHA1: 2dd32577188c89af11de2705786dca02fa11e3b4 MD5sum: faf39c4ab0aaecc7abfdbcc9f1114e0e Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: python-argcomplete Version: 1.0.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python-argcomplete_1.0.0-1~nd+1_all.deb Size: 25852 SHA256: e961c7c94be985b71d0b9c6496f2342ca95aed4bec75d0a92d8c28837deb3390 SHA1: f14e66ab17ffd8ee30482d8a7d43d51871e8845c MD5sum: ac0f6a6a42aabd4109473218a09e9e21 Description: bash tab completion for argparse Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 2.x. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 201 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.3.6-6~), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_1.4.1-2~nd+1_i386.deb Size: 43362 SHA256: 9ac4ac31a1d3a3bdf7c0c125b1c575d14df1bf060e6a1f6468e779f32a6b97ea SHA1: 991866c559aa9db267d4ea63bed05c1a8fd7b679 MD5sum: db31ebaf77ebd3229896fd78cc4120f6 Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-brian Source: brian Version: 1.4.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2456 Depends: neurodebian-popularity-contest, python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1~nd+1) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.3-1~nd+1_all.deb Size: 402054 SHA256: 4d8b568ca6ce53db9403438830dc7a17577f3e0ad5c79979ec2a2366959f0c4f SHA1: 5109b5627ea5c22fbed8c9259ede95dc14b63a97 MD5sum: f8ddc31d598c27195a3055a212932cad Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7316 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.3-1~nd+1_all.deb Size: 1976078 SHA256: 9d045a63f64430c967de2d6d0f706773a1bd2d110136445345305435f9cc4cf2 SHA1: fdb9dcc1f2bdcd0ba7fee379170094eeaeb1d237 MD5sum: 75abb4ae9227a4a793743e2b5e09da95 Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.3-1~nd+1_i386.deb Size: 41674 SHA256: e0e597e18806bf860e9e74c30a53c742427c7430c3d8c5006ed1e4c7c57b2af5 SHA1: 1ad8109f2a1e0ab0b248bcfc89b8dfc9a47ffee7 MD5sum: bf4143a043e108893a8524dddcdf8a20 Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. Package: python-brian-lib-dbgsym Source: brian Version: 1.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 153 Depends: python-brian-lib (= 1.4.3-1~nd+1) Homepage: http://www.briansimulator.org/ Priority: extra Section: debug Filename: pool/main/b/brian/python-brian-lib-dbgsym_1.4.3-1~nd+1_i386.deb Size: 124928 SHA256: 82b740100e8e80da3ab1f5320d0fab859aa8a4bba30e583ffbcae57d45ccc518 SHA1: 92522d29b1e43357056c796e9876ebd4ddf4bc34 MD5sum: 755e2499483403901d6c70f7e8dfeab5 Description: Debug symbols for python-brian-lib Auto-Built-Package: debug-symbols Build-Ids: 0fad056f69501dea429ddeb1fa62cff6973980b7 df6581c3c1487719a9c9bb6ddb3af73924463a2f Package: python-cfflib Source: cfflib Version: 2.0.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-lxml, python-numpy, python-networkx (>= 1.4), python-nibabel (>= 1.1.0) Recommends: python-nose, python-sphinx, python-tables, python-h5py Provides: python2.6-cfflib, python2.7-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd+1_all.deb Size: 217692 SHA256: 4da2bdfd6e65beb307156093efe58c8242305e225741677f043c95133dd02928 SHA1: f5afff0937ac80443da91ebd51b53ce9c454f296 MD5sum: e6da3383a7a7a89da2d0d5b33f4910b5 Description: Multi-modal connectome and metadata management and integration The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration. . It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects. Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 769 Depends: neurodebian-popularity-contest, python-lxml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd+1_all.deb Size: 80320 SHA256: 697b8521e8930432817b1503eb837c18fcc58f31d87fc3f958bfb110ca13378a SHA1: d4971cc97575a0c8c08f44c2cfb1de51bb281917 MD5sum: 634926f49184a46c2a5d8b35eec480f4 Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python-contextlib2_0.4.0-3~nd+1_all.deb Size: 8654 SHA256: d3a0ccdd81271c47039bb787b192809749186f00bbadd53643e2299ac3dbf0cb SHA1: 8315929753d4260508bca756c44798061e425b97 MD5sum: 6cbc70f15c714d3bcdc17fbca8d88318 Description: Backport and enhancements for the contextlib module - Python 2.7 contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 2.7 module. Package: python-datalad Source: datalad Version: 0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1216 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160425) | git-annex-standalone (>= 6.20160425), patool, python-appdirs, python-git (>= 2.0.2~), python-humanize, python-keyrings.alt | python-keyring (<= 8), python-keyring, python-mock, python-msgpack, python-progressbar, python-six (>= 1.8.0), python-boto, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-html5lib, python-httpretty, python-nose, python-numpy, python-scrapy, python-testtools, python-vcr Suggests: python-bs4 Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.2-1~nd+1_all.deb Size: 225542 SHA256: f3b2d0ca45d7744d6f631eb0a10efb5e9ec2d3cc31e05cfb64d0969c0600c303 SHA1: 091a9ddaeaa079fbc5568bb57cb2541555497d6b MD5sum: 4569b2c7c56bd6d11e5e93081d076a8a Description: data files crawler and data distribution (Python 2) DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming for neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare or update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of datasets (search, install, uninstall, upgrade etc) . This package installs the module for Python 2, and Recommends install all dependencies necessary for crawling and testing. If you need base functionality, install without Recommends. . DISCLAIMER: DataLad is Work-In-Progress and this package is not yet for regular user consumption. Primarily intended for demonstrations and development. Package: python-dcmstack Source: dcmstack Version: 0.6.2+git33-gb43919a.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 509 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: python Filename: pool/main/d/dcmstack/python-dcmstack_0.6.2+git33-gb43919a.1-1~nd+1_all.deb Size: 77460 SHA256: 1bde8fbdc4666fd59d20bd49513099826a1624dd961f4aee5c4fba6dcf7b223f SHA1: 8b4862f49a899b0e500b9a748eadd91f2dbf4e0a MD5sum: 6bfb2dd5c3a8f1394ec264c8309b9adc Description: DICOM to Nifti conversion DICOM to Nifti conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a Nifti header extension or written out as a JSON formatted text file. . This package provides the Python package, command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-dicom Source: pydicom Version: 0.9.9-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1522 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Recommends: python-numpy, python-imaging Suggests: python-matplotlib Homepage: http://pydicom.org/ Priority: optional Section: python Filename: pool/main/p/pydicom/python-dicom_0.9.9-1~nd+1_all.deb Size: 357756 SHA256: 438973cbca9e0829b3f9a70b5cb6c86f5ed945e4140d798288ba8576655d447a SHA1: 018cbb7f235a0fe220323e858cd241db2b40ea80 MD5sum: 734af5fe26acb1f95dfbfacfb16d6d46 Description: DICOM medical file reading and writing pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. Package: python-dipy Source: dipy Version: 0.10.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5799 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.10.1-1~nd+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables Suggests: ipython Provides: python2.7-dipy Homepage: http://nipy.org/dipy Priority: optional Section: python Filename: pool/main/d/dipy/python-dipy_0.10.1-1~nd+1_all.deb Size: 2435144 SHA256: 2e8075e916ee5d45fe0e5488a5788246415d6856dac3a81b5b091a7c962998ee SHA1: cb28bf853dc8023afd1053fe08de5681532359d7 MD5sum: 68618b3cad69fbde37ce5a51c414dbca Description: toolbox for analysis of MR diffusion imaging data Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. It features: - Reconstruction algorithms, e.g. GQI, DTI - Tractography generation algorithms, e.g. EuDX - Intelligent downsampling of tracks - Ultra fast tractography clustering - Resampling datasets with anisotropic voxels to isotropic - Visualizing multiple brains simultaneously - Finding track correspondence between different brains - Warping tractographies into another space, e.g. MNI space - Reading many different file formats, e.g. Trackvis or NIfTI - Dealing with huge tractographies without memory restrictions - Playing with datasets interactively without storing Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.10.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14485 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://nipy.org/dipy Priority: optional Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.10.1-1~nd+1_all.deb Size: 11463990 SHA256: fd636c451cff35647e431fa18dbdfc24f5bd6122a251dc273c68f76c9b7db671 SHA1: 3442bd8cd769d598df4f309c2af19970298cb441 MD5sum: 776a7425812024681f21963fe9b7861c Description: toolbox for analysis of MR diffusion imaging data -- documentation Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.10.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7110 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://nipy.org/dipy Priority: optional Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.10.1-1~nd+1_i386.deb Size: 1110596 SHA256: 41e71afad45fb1145c0c36f700643fa896eb5141cf9c489d6b95ff3923326c3f SHA1: 9ee468f1e16f6c7e5a8a4a5d5a090e56e4103d54 MD5sum: 64fb67455543dd557b53ba40690f1c3f Description: toolbox for analysis of MR diffusion imaging data -- extensions Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-dipy-lib-dbgsym Source: dipy Version: 0.10.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6418 Depends: python-dipy-lib (= 0.10.1-1~nd+1) Homepage: http://nipy.org/dipy Priority: extra Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.10.1-1~nd+1_i386.deb Size: 5679372 SHA256: 6d5f9e6bde4b163672809f446a5b10b1227f321b86c91f8469c45de506234c63 SHA1: 2f1289c09c21d0d50e14b03812f647cfba4f0f2a MD5sum: 8f13391c290bf1f43325f765c1d701b4 Description: Debug symbols for python-dipy-lib Auto-Built-Package: debug-symbols Build-Ids: 0b69576707280f3ca6cf6ece58ebab8831b08600 2b7b967672402f8ace5d26166bcf9b9930a36b0c 31f7884abca8feb345ba55ed8ba348cf842c22d0 38a06b9ca75faf38575c90b9cd0ee7a608e5cc10 41bdb0f0030e4cc0d11fad3301bd23bb73d8cab4 4243fb286c9ddd1ff97e1b8a4b1875cb8ceaaee8 59d4508d523829c61f389ab4633e01d1516d4cd0 5a59c0f2ee8893c8cfad3fc687aaa9620397a367 5fac249c01e5195a0c6a0bca4dc861159da62e62 62986cab2feb668e7ffd4d37e767bd06e7cd57a9 6cccc5e61f559814ea7714ad9df9bb6b5da433f1 758669894f90c553e77b4ed3fae0235e91ee4f08 7854e666ee4d104d6b4daa1b0988c488dd751795 78ed8ee59f6ae8866cf6006ee996d6f0c1ada1d5 881c3b77b9c2b1e4b90d233db61767fdaa1b9ee7 8ad525bb7053f95c223df50f6245088c2196ec3a 95ba6a742fba312a8cf2f88837ebf7adf973f17e 97684aa2f38485f0bd33441a8ef8af38a6f2b95d 9e4fa96cf5d9fcd89a1bd065a22a9d5fc2109519 a2541f99541fd43c04d20cf762fc64ee261eb1f4 b8e816afd18db49eae211e59c854c3054e05706f c188a171ea49072b5cd901a30c9ad899cb200d65 d113f6f642425d43ac995f986fdd6877836b6b4c edd9ac09adfbc86bb80b917daa0895ca52915abd f3019aefe642325bbf85cc5a93ddc0561d6c8aa8 Python-Version: 2.7 Package: python-duecredit Source: duecredit Version: 0.5.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 237 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.5.0-1~nd+1_all.deb Size: 52502 SHA256: 5a397c52164cecbb671000e71ccd7cb8cfce9553c1f0859e834e49bcd7994b2e SHA1: 79df197750262cbb6c19b9bfd5907556f6c8bdeb MD5sum: b5a778b5ae0b41215abbd3e0260c0bf2 Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-expyriment Version: 0.7.0+git34-g55a4e7e-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2419 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-support (>= 0.90.0), python-pygame (>= 1.9.1~), python-opengl (>= 3.0.0), ttf-freefont, libjs-jquery, libjs-underscore Recommends: python-serial (>= 2.5~), python-numpy (>= 1.3.0~) Suggests: python-parallel (>= 0.2), python-pyxid Homepage: http://www.expyriment.org Priority: optional Section: science Filename: pool/main/p/python-expyriment/python-expyriment_0.7.0+git34-g55a4e7e-3~nd+1_all.deb Size: 698616 SHA256: 0b51538d13146d68e561a4e41f6434c5d2da0f595efe67c50f01a4e534ef8aaf SHA1: dac42ac93d31516c2d67b397da1446658d3238ab MD5sum: baf8ddfb4a408c0e43865522241da0e7 Description: Python library for cognitive and neuroscientific experiments Expyriment is a light-weight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. The major goal is to provide a well-structured Python library for a script-based experiment development with a high priority on the readability of the resulting programme code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones. Package: python-freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 147 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, libc6 (>= 2.4), libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd+1), libpython2.7 (>= 2.7) Suggests: python-matplotlib, python-opencv Provides: python2.7-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.5.2+git6-g5455843+dfsg-1~nd+1_i386.deb Size: 47028 SHA256: cf10c30f5f7404d84faa251a388d00aa09a2c8a8320d76c8041b49e1ec9e7e8d SHA1: 7af8e127f2ae9be2bfa00e5f241772db81cb2981 MD5sum: 793868f2000fbe88c9fea57fad9ac771 Description: library for accessing Kinect device -- Python bindings libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package provides freenect extension to use libfreenect functionality from Python and includes some demo scripts. Package: python-future Version: 0.15.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1712 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python-future_0.15.2-1~nd+1_all.deb Size: 348338 SHA256: cfa260c22586caec87848fde7b08104a1a6d613245185f72d22d5f2c631f45af SHA1: a300c53c8048687b2ca7575f1958869c720209f1 MD5sum: 0f64bb428c1fd4d3066f1969a59fc594 Description: single-source support for Python 3 and 2 - Python 2.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 2.x module. Package: python-future-doc Source: python-future Version: 0.15.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1889 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://python-future.org Priority: optional Section: doc Filename: pool/main/p/python-future/python-future-doc_0.15.2-1~nd+1_all.deb Size: 319714 SHA256: 849dbdad405ea50ea53f40b2b3767e4619b518eb5bba2d6d074d9a175e0082b6 SHA1: a7e9e6457db2dd27ea31b0dbb3d4867eb18c2872 MD5sum: 651fc20d4acb400cf43ee6d43c9e41d8 Description: Clean single-source support for Python 3 and 2 - doc Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the documentation. Package: python-git Version: 2.0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1571 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 0.6.4), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.0.2-1~nd+1_all.deb Size: 289144 SHA256: 4cb13544eb25b6ebb52f8f3f45e140aaf5217917db4bca929db2f05fb5b05a31 SHA1: e25f96e27016858840ed400e8e9c56aa9d01f65b MD5sum: d5cd93df31e9356cd9e66fee6d443a25 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 930 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.0.2-1~nd+1_all.deb Size: 118642 SHA256: 710a3a48e5276bfff204f5ec07c22958a6991b8802abd76f119a37919c5a10e8 SHA1: d627cd4c21763577336ebcfc6e1fa0f308cbad75 MD5sum: 482def0199b082f5d035a7ac7bb54909 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 0.6.4-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 230 Depends: neurodebian-popularity-contest, python-smmap, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python-gitdb_0.6.4-3~nd+1_i386.deb Size: 55250 SHA256: ebb9bd9d39cecbd49075fc42a251b2bd7bab0cf078914060c30d5c30d3bc6047 SHA1: 76cc5d2eef2d33508a4bb07b1cc3a637745b17e2 MD5sum: 03e9759f9d9ba9ade5d0262bf77a82ee Description: pure-Python git object database (Python 2) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package for Python 2. Package: python-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: python-gitdb (= 0.6.4-3~nd+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python-gitdb-dbgsym_0.6.4-3~nd+1_i386.deb Size: 22790 SHA256: e44554ece194873a76b4490613bac3c84c9930e6150c9d442be232745d090435 SHA1: 6e09a5bbd654a2588f3cf53837278e3c8fefb47e MD5sum: 8946f543b4cfe6590c3a1d4c40718711 Description: Debug symbols for python-gitdb Auto-Built-Package: debug-symbols Build-Ids: 17c7ab1273634fab08d5c895b22860e1392cd9be Package: python-humanize Version: 0.5.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python-humanize_0.5.1-2~nd+1_all.deb Size: 12948 SHA256: 4c4af0de554075bad41bfcb0e3cb8e192e87c5f97642ef0346d1f53df52a3b5f SHA1: f426f555e49355e10cb0cb480840235c56275883 MD5sum: 926ebef411d9a842e0385128133118d7 Description: Python Humanize library (Python 2) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 2 version of the package. Package: python-jdcal Source: jdcal Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd+1_all.deb Size: 7758 SHA256: 94412136ef6ac30b47b2fbde317ab011af097fef09813125147eaab6eefc8478 SHA1: 1e15930886d85192e3364b7efb6450730911da89 MD5sum: 75204676241ba5bb009d2f05a88634b5 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python-joblib Source: joblib Version: 0.9.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 363 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Recommends: python-numpy, python-nose, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.9.4-1~nd+1_all.deb Size: 81324 SHA256: d1e9a85d12e6a3650c6ca38c14005e9d7e9397681fe4e9b52db95f1d8c3f5fd2 SHA1: 68851bfd7d8b726b9acd1837b77e6b1ad14ef78f MD5sum: b2bad340701ffb7799c727f1083a84a6 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-lazyarray Source: lazyarray Version: 0.1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, python2.7 | python2.6, python (>= 2.6.6-7~), python (<< 2.8), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd+1_all.deb Size: 7328 SHA256: dbb35c5dc374c7bc62e95a56d3a14314105025852a66ba61f2472e4ea5b8be65 SHA1: a7bdc4dd42a3963a810fe0c0e73e4ad7ed6a7995 MD5sum: 1d204a47646dc6ed4152895171c87bc9 Description: Python module providing a NumPy-compatible lazily-evaluated array The 'larray' class is a NumPy-compatible numerical array where operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Consequently, use of an 'larray' can potentially save considerable computation time and memory in cases where arrays are used conditionally, or only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array). Package: python-lda Source: lda Version: 1.0.2-9~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1245 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python-lda_1.0.2-9~nd+1_i386.deb Size: 236674 SHA256: 96af46f850747314aed1007597e6d0866b4ea17b1579d5401b9c50941f0512e6 SHA1: 14e9bcce6ce36b8e1e1f73d58b3bae2fa7696e48 MD5sum: 0c4b63a466cb8972d3b867c8d902ef6c Description: Topic modeling with latent Dirichlet allocation for Python 3 lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 2.7 module. Package: python-libsvm Source: libsvm Version: 3.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd+1), python, python-support (>= 0.90.0) Provides: python2.5-libsvm, python2.6-libsvm Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: python Filename: pool/main/libs/libsvm/python-libsvm_3.0-1~nd+1_i386.deb Size: 14306 SHA256: a3c45755d052a42111514db5b1a96d54719f9faf66e4bbc45b664c70b83f9e2d SHA1: 2b54e855092375e8792d239ca86fc6d018b2f960 MD5sum: b78d53594ff4bd591ac65d28d7316f43 Description: Python interface for support vector machine library Python interface for the LIBSVM library using ctypes. This new python interface is provided since 2.91, and it is incompatible with the old one. Package: python-mdp Source: mdp Version: 3.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1391 Depends: neurodebian-popularity-contest, python-future, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-pytest, python-scipy, python-libsvm, python-joblib, python-sklearn, python-pp Enhances: python-mvpa2 Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.5-1~nd+1_all.deb Size: 277554 SHA256: f4e162fc6a74c97cafc113d1f6fa3ab2c71c02e13efe9b73316d6570a3ae8905 SHA1: 4f1d93c2e31cc3157fb0716b0d236d214f85f671 MD5sum: 56e7c89d5d1c7b5317f610324edf6425 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 2. Package: python-mne Version: 0.12+dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9400 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib (>= 0.4.5), xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui Recommends: python-nose, mayavi2 Suggests: python-dap, python-pycuda, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.12+dfsg-1~nd+1_all.deb Size: 4428818 SHA256: 640fdf0a698d7f69ddaa93fb64a68403b15070e560cf933696a9045ffd6b0fa2 SHA1: 048dbdf86ab89e1777f5664f9e13f340fc04b41c MD5sum: a7a2125d82b53e4dfb7ea3af96db8168 Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-mpi4py Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1559 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python (>= 2.7), python (<< 2.8), mpi-default-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_2.0.0-1~nd+1_i386.deb Size: 326794 SHA256: 6cb7d8e598285374ae8047f0e0ea4c8477331a114c78d704c2b11f2cf97a97a0 SHA1: 435ebf3bc5d18ec78a4b3aef009f5393c240eb67 MD5sum: 4210059952d09247973ccc4166f42a8b Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3599 Depends: neurodebian-popularity-contest, python-mpi4py (= 2.0.0-1~nd+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_2.0.0-1~nd+1_i386.deb Size: 933664 SHA256: b12e72803727f4c3ecedcc87a99b9b8d85aa09a5013914b7f81fb7e092fc084e SHA1: 580d1769fe564cf037daaa46c5f0848d22f0e913 MD5sum: 93148ab3c654b6c743ce7f8223bd5a78 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 318 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: doc Filename: pool/main/m/mpi4py/python-mpi4py-doc_2.0.0-1~nd+1_all.deb Size: 55418 SHA256: 7b55e630cb0ef72ec388d187b78381f643b9f0542f6f3e50443a79109f9a903b SHA1: 8deea62d2295fd769d5dc228382176f790d8a9af MD5sum: 807a332c99480abebbc8150caab3f00f Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-msgpack Source: msgpack-python Version: 0.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 186 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Breaks: msgpack-python (<< 0.3.0-1) Replaces: msgpack-python (<< 0.3.0-1) Provides: msgpack-python Homepage: http://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python-msgpack_0.4.2-1~nd+1_i386.deb Size: 57410 SHA256: 8059b7d405056b950ca984949b930a6b9bfcbe507cf9253e1ddd924a5a770207 SHA1: b39592e311f2ed4e79e3a091ecdb985a5799e7b6 MD5sum: 5530b125e2cdd3d006ccf6594ff80d86 Description: Python implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python extension module implementing the MessagePack format. Package: python-mvpa Source: pymvpa Version: 0.4.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3547 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy, python-support (>= 0.90.0), python2.7, python-mvpa-lib (>= 0.4.8-1~nd+1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy, python-mvpa-doc Provides: python2.6-mvpa, python2.7-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.8-1~nd+1_all.deb Size: 2205002 SHA256: 41465c88b5c5d855bb5cfb183ef31b621031eb691ba5a8f3ac481bec2fe61bd8 SHA1: 40e31da97e30b6c2af3f28dfcd4b255560f765e2 MD5sum: b36ff1ec87893ae209624c75e8934b87 Description: multivariate pattern analysis with Python PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, GNB, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. Python-Version: 2.6, 2.7 Package: python-mvpa-doc Source: pymvpa Version: 0.4.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 37565 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.8-1~nd+1_all.deb Size: 8454400 SHA256: 9f730cbbc6fdcfce45ecca5ef036d74ea074eaedf2b4105fde7baf0028f11350 SHA1: 4510a24072100ffb1d4220f2d66d21abde733b9d MD5sum: 32c7629e7f9e01d9f7ca4d2c621b85be Description: documentation and examples for PyMVPA PyMVPA documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation * BibTeX references file . Additionally, all example scripts shipped with the PyMVPA sources are included. Package: python-mvpa-lib Source: pymvpa Version: 0.4.8-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 177 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python-numpy Provides: python2.6-mvpa-lib, python2.7-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.8-1~nd+1_i386.deb Size: 71556 SHA256: c07de5ae92ac8cc8d2cac7759d605c04f79863275e30ee4cfa2142abf12506c8 SHA1: 85a1023c44b5d8d6e7b9e230d7af9dedfdde32a7 MD5sum: 9243a3187d6329a754421be08b16489d Description: low-level implementations and bindings for PyMVPA This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. Python-Version: 2.6, 2.7 Package: python-mvpa2 Source: pymvpa2 Version: 2.5.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8447 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-mvpa2-lib (>= 2.5.0-1~nd+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.5.0-1~nd+1_all.deb Size: 5074428 SHA256: 20bc1a0e612568021ce624d601c20680926d77046164c4fba040ede62371b7da SHA1: 3fec2560942b77444d1b7ac45ec4b94c95a73ac0 MD5sum: 1efb75e9317735484ce9dc20e7ea3532 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.5.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34557 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.5.0-1~nd+1_all.deb Size: 4570120 SHA256: b18d5d1dad82a86f371da26e4f8f80a17e25631e2bd5a56f9faf9adb8986ea0a SHA1: 3933aadc0e38154b079c6c53a15053dd50e91baa MD5sum: f0c8d31499e182a801f523dc5e6cccec Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 131 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9 Provides: python2.7-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.5.0-1~nd+1_i386.deb Size: 49846 SHA256: 95bb270889ee35ad3947c604a94c4d95296a1182df5f394dd0bf40635c35723d SHA1: 323ac42fee474d4ff26e0a2c211cde2b3d2b9223 MD5sum: 812099c1df8781b8fdebd31797a03e61 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-mvpa2-lib-dbgsym Source: pymvpa2 Version: 2.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: python-mvpa2-lib (= 2.5.0-1~nd+1) Homepage: http://www.pymvpa.org Priority: extra Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.5.0-1~nd+1_i386.deb Size: 71214 SHA256: cdcec1633c7f05d15713cd16aa7c13e74f0764a4bad60fd0b57a380b4c838614 SHA1: 669afe559d1d25be335c0b4a5c17faf201566a64 MD5sum: 3fccbb74b59442cba4b97eccdeaed645 Description: Debug symbols for python-mvpa2-lib Auto-Built-Package: debug-symbols Build-Ids: 0e895935d5b14e726b23953ff8e3cd0ba6449287 ddbe16f305224fd84873a6629c3b2ff185e62f46 Python-Version: 2.7 Package: python-neo Source: neo Version: 0.3.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2909 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.3~), python-quantities (>= 0.9.0~) Recommends: python-scipy (>= 0.8~), python-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python-nose Homepage: http://neuralensemble.org/trac/neo Priority: extra Section: python Filename: pool/main/n/neo/python-neo_0.3.3-1~nd+1_all.deb Size: 1378610 SHA256: 268bcbe349cdd59dcd6c81b69f509e39abc526f812bd5f07208932a109266e6b SHA1: be5f458f69e1f2108a65756ef29c1a542be0bbe1 MD5sum: 5da5190a50f6ef3282f67c895329fb02 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python-networkx Version: 1.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2672 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0) Recommends: python-numpy, python-scipy, python-pygraphviz | python-pydot, python-pkg-resources, python-matplotlib, python-yaml Homepage: http://networkx.lanl.gov/ Priority: optional Section: python Filename: pool/main/p/python-networkx/python-networkx_1.4-2~nd+1_all.deb Size: 647276 SHA256: 8686482d59b2830b57bbb4c95a26e38598c5d2b46b8bfc3c41ef5079c7de3f85 SHA1: 8e2dcdffdac74665f7c48190e2594d95466e3c37 MD5sum: e610b0ef6d98a399e29c3b2be7968038 Description: tool to create, manipulate and study complex networks NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. Package: python-networkx-doc Source: python-networkx Version: 1.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15804 Depends: neurodebian-popularity-contest Homepage: http://networkx.lanl.gov/ Priority: optional Section: doc Filename: pool/main/p/python-networkx/python-networkx-doc_1.4-2~nd+1_all.deb Size: 6175086 SHA256: 7576cef9c963357c491c8ed98372493e4567e864c9bf9b30c1da2cbc2dd0cf80 SHA1: 861dba2262ad5310d0b4065953ee4838e7575ad7 MD5sum: ba0a43a93a019711296e4657536ef25b Description: tool to create, manipulate and study complex networks - documentation NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. . This package contains documentation for NetworkX. Package: python-neuroshare Version: 0.9.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 105 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.8.0), python-numpy-abi9, python:any (>= 2.7.5-5~), python-h5py Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: python Filename: pool/main/p/python-neuroshare/python-neuroshare_0.9.2-1~nd+1_i386.deb Size: 20650 SHA256: 2ce2c050e689a1dfaacb00cb53eb21eaaa6b3fa765eea4555ec75048d65a6a6b SHA1: eae289edf274ddf8af5f006a104b2a4e3948d7e9 MD5sum: 8224859f46ecab1575ae8687c8aa59a8 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. Package: python-neuroshare-doc Source: python-neuroshare Version: 0.9.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 284 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: doc Filename: pool/main/p/python-neuroshare/python-neuroshare-doc_0.9.2-1~nd+1_all.deb Size: 95620 SHA256: 4b008b4e512ecc425d792b05a5f237701cff8f0b10847f9ae4cefbe836b52f12 SHA1: 0c55225790940875eff3b0dc7ac1454c7dea4230 MD5sum: acccb1a0fb534f3233a73ff94d58d8a9 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. . This package contains HTML documentation files for python-neuroshare. Package: python-neurosynth Source: neurosynth Version: 0.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-nibabel, python-ply Recommends: python-nose, fsl-mni152-templates Suggests: python-testkraut Homepage: http://neurosynth.org Priority: extra Section: python Filename: pool/main/n/neurosynth/python-neurosynth_0.3-1~nd+1_all.deb Size: 32506 SHA256: 1b7a6109b4cd73ca4ed17d0f33010df1d73c8bfcdd469311c48d58714fd99755 SHA1: 101a6b891d69881db9e5bd6bfc176aaa2de3ca28 MD5sum: 191a7178983f856cb47820d478a3a791 Description: large-scale synthesis of functional neuroimaging data NeuroSynth is a platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. This Python module at the moment provides functionality for processing the database of collected terms and spatial coordinates to generate associated spatial statistical maps. Package: python-nibabel Source: nibabel Version: 2.0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63351 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.0.2-1~nd+1_all.deb Size: 1971960 SHA256: 9b75f24ba4aa3370c85656fa27d59df0e142e9b81477e88ad034c769e05ba561 SHA1: 352ba6d3f760eda8a69fea299358caae08b0317a MD5sum: d77fd4fea87bf797503147911f4528aa Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5520 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.0.2-1~nd+1_all.deb Size: 2512646 SHA256: 010f20432bdc0a0ebba64a1cb20ba6ab66de318fde29f9c404de8abc0ac007df SHA1: 456d0b365381acb86b9aa8ea5828371c77b867c6 MD5sum: 5cae8730addfcbf0f219ee71f8834d16 Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nibabel-snapshot Source: nibabel-snapshot Version: 1.0.0.dev+137+gf1c6-1~sid.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 964 Depends: python (>= 2.5), python-support (>= 0.90.0), python-numpy, libjs-jquery, python-scipy Conflicts: python-nibabel Provides: python2.5-nibabel-snapshot, python2.6-nibabel-snapshot Homepage: http://nipy.sourceforge.net/nibabel Priority: optional Section: python Filename: pool/main/n/nibabel-snapshot/python-nibabel-snapshot_1.0.0.dev+137+gf1c6-1~sid.nd1_all.deb Size: 469776 SHA256: 674d6faa8c47cc5d2abded6bf10d56d3c7b2041b70390b254d6bed4fe0b89f92 SHA1: 1e06be036a09d6114c43bcccf080aa256f7c7a69 MD5sum: 26e58a8ca88e85dfba68eae891bdcdeb Description: Python bindings to various neuroimaging data formats Currently supported formats are: . * ANALYZE (including SPM2 and SPM99 variants) * MINC * NIfTI * PAR/REC . This package also provides a commandline tool for conversion of PAR/REC to NIfTI images. Python-Version: 2.5, 2.6 Package: python-nifti Source: pynifti Version: 0.20100607.1-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1424 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libnifti2, python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python2.7, python-numpy, libjs-jquery Provides: python2.6-nifti, python2.7-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd+1_i386.deb Size: 377084 SHA256: 630cec8f4008e6127ee461fd011d0d39ff03accaec835ceb757e4433860209b2 SHA1: f7640ab7f1ba4a37883f11b3455e9d5bc5c7d94d MD5sum: 0e5212d61e909e62d2a52d252a8150e7 Description: Python interface to the NIfTI I/O libraries Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays. Python-Version: 2.6, 2.7 Package: python-nilearn Source: nilearn Version: 0.1.4+git3-g60d2a1b~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1842 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.1.4+git3-g60d2a1b~dfsg.1-1~nd+1_all.deb Size: 634894 SHA256: 8186a13a46e4c9a472ca1ec43ffb06dfc1facc260e6e7da3e550e33c9651409b SHA1: a50af8b53ba590210c5ebf5361db9cb6aa1560b6 MD5sum: dc4100b168e633e5d938723a56d89ca3 Description: fast and easy statistical learning on neuroimaging data This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2954 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python-scipy, python-nibabel, python-nipy-lib (>= 0.3.0+git262-gbb838d7-1~nd+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.3.0+git262-gbb838d7-1~nd+1_all.deb Size: 726352 SHA256: f6c832a6945eb0a455f9db8611f6e2a2b0be4c04e06c4e3f5e928dcc83918800 SHA1: 337d5986ac4a6cc2e0b5a228ea52b28a29c1df37 MD5sum: ee01e0503428c347b1baf2977dd79488 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8012 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.3.0+git262-gbb838d7-1~nd+1_all.deb Size: 1148794 SHA256: f0b036ef9a39bce663dc44dddb68e2c9508fc35fb4aba71c7e1c627dfac1f832 SHA1: 9b0216e8e331b90f1f5d9303998f093d6d401999 MD5sum: ca9d8108b7d5a4d99a34ffb6328b2b88 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2656 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.4), liblapack3 | liblapack.so.3, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.3.0+git262-gbb838d7-1~nd+1_i386.deb Size: 549726 SHA256: 0ee19d78127bb2e96fcbec09c6f8b8b0a0824d8de11204b5e86890e1a026859b SHA1: f627da2ac08a96f0f106e9b13c411e912f04bf94 MD5sum: 52592f882895284523cee6a058494e53 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3054 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.4), liblapack3 | liblapack.so.3, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (>= 2.7), python-dbg (<< 2.8), python-nipy-lib (= 0.3.0+git262-gbb838d7-1~nd+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.3.0+git262-gbb838d7-1~nd+1_i386.deb Size: 430754 SHA256: 2e09d19d7d69794edf5a82f8cfea24d35571421ee23f025529e234f7e08782ea SHA1: aed5e9879f96d828a46f843833864e8fdde2804d MD5sum: 342b944bfdf80bb87b7771fba2069567 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipype Source: nipype Version: 0.10.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4573 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-scipy, python-simplejson, python-traits (>= 4.0) | python-traits4, python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-cfflib Recommends: ipython, python-nose, graphviz Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_0.10.0-1~nd+1_all.deb Size: 1161698 SHA256: 197f44d95a71a908ad9398b40eabeb4e76aafba4a64bb95f44ddb6642ae11aeb SHA1: 107e7550768ff3e1775a3dde201b84983c555cca MD5sum: 00624d0c783a0abbebb93f47054abfe1 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 0.10.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 21211 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_0.10.0-1~nd+1_all.deb Size: 8963942 SHA256: 32bbc762f48bbd0b51a6ce9609f696f7bc78380381eb79d8012ba7df42ebb704 SHA1: 1390293a366336047a3e4a27fc696886968712de MD5sum: cf6eaa825a232a58b6111c8599aa43fb Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9377 Depends: neurodebian-popularity-contest, python-matplotlib, python-numpy, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.6-1~nd+1_all.deb Size: 2560322 SHA256: a2e4d8fa4fbf54e5eb11d070e95ed13513d5e0d0b7769b3949bc86c70e2e3a29 SHA1: 183d8cf5a49f0c195ec48005b2eb1eeaab118da2 MD5sum: 21bd5501a7a485cb9b91c7b7a2e23abc Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7913 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.6-1~nd+1_all.deb Size: 5816526 SHA256: 42388f5f411ffe7b90bbc1dd95fcb602cfb1f30c99a7f5ddad7abbf9b62b8799 SHA1: b2304faf09c15c1b57ce9278d9456c55a9b5e84b MD5sum: c4bdb8acef2ae33c886fa859417a43fc Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 247 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd+1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.7-0~b1), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-nlopt Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: python Filename: pool/main/n/nlopt/python-nlopt_2.4.1+dfsg-1~nd+1_i386.deb Size: 65716 SHA256: 75ba05934fc585415b9b60b42c872e3eb8ef093d6061c8835ded7b6ec5450a62 SHA1: b94e816f206397430911fecbc46175298269e5db MD5sum: a2f54c4bcd06178d7655c20a6b659ac2 Description: nonlinear optimization library -- Python bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the Python bindings. Package: python-nosexcover Source: nosexcover Version: 1.0.10-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd+1_all.deb Size: 5128 SHA256: cb2e2c1da583fc4dd2c737eb6e748c26717ff623d08d0d28b22deacc09eafd51 SHA1: 06cd26e47b00d11c56c9f57261f5f51dcd3e5c34 MD5sum: e40a78d353eefee1076e93c269f9e889 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python-numexpr Source: numexpr Version: 2.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 455 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://code.google.com/p/numexpr/ Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.4.3-1~nd+1_i386.deb Size: 124034 SHA256: ca946c5544aa27d180d488f8e9856b433628572336394a1b73cdee64656fe93d SHA1: a1f9e6191f60892f7510426755a9f499bebf426c MD5sum: 6d06d26cf997186ba277ec7f77728d0c Description: Fast numerical array expression evaluator for Python and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This is the Python 2 version of the package. Package: python-numexpr-dbg Source: numexpr Version: 2.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 328 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numexpr (= 2.4.3-1~nd+1), python-numpy-dbg Homepage: http://code.google.com/p/numexpr/ Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg_2.4.3-1~nd+1_i386.deb Size: 94586 SHA256: 08863f5744a6da64e2dec936d0b86fbce61747e9fb191cb5412f0edb93149b41 SHA1: 860dbb2d9a2619dba8388dd7522be7b589df3ac7 MD5sum: 13f94420b7083ff784e9bcfd857dce74 Description: Fast numerical array expression evaluator for Python and NumPy (debug ext) Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains the extension built for the Python 2 debug interpreter. Package: python-openmeeg Source: openmeeg Version: 2.0.0.dfsg-4~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 612 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0) Provides: python2.7-openmeeg Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: python Filename: pool/main/o/openmeeg/python-openmeeg_2.0.0.dfsg-4~nd+1_i386.deb Size: 166750 SHA256: 71ed1a7bdc57e802425a92161db7729c2d3fa709de46bd79501678c1b576e1b3 SHA1: e6d7ffe46bcb45c7fff59c4d705817ec5e9ebba3 MD5sum: c95d4efb64c9d973ea9dfa77c74084a5 Description: openmeeg library -- Python bindings OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides Python bindings for OpenMEEG library. Python-Version: 2.7 Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 954 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-setproctitle Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.6-openopt, python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd+1_all.deb Size: 245088 SHA256: 720267e7fc1297916d72081d7bffedfc4e911f4cba267f9e83f65ee6cf7eac3b SHA1: 2a31c5c6bad612fa5d880b23d6c2c2628c1aef20 MD5sum: 5ffcdd148bf0a2e648d7c3960953fc20 Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.6, 2.7 Package: python-openpyxl Source: openpyxl Version: 2.3.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1323 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-jdcal, python-lxml (>= 3.3.4) | python-et-xmlfile Recommends: python-pytest, python-pil, python-imaging Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.3.0-2~nd+1_all.deb Size: 199160 SHA256: 05a6d8042a17df46073966e3511d62d65165577bce600318f43d90f841152376 SHA1: 8f5916a8d5bdfb1c76ff1270fc7d6772833b59f7 MD5sum: aeea901ce8f8c17afb4ba3a6449c7ae1 Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-packaging Version: 16.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python-pyparsing, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python-packaging_16.2-2~nd+1_all.deb Size: 17192 SHA256: 9d0ec2e40865cd2c2a838f179534b6a56f48aad4e4916473f74d2eac663a9837 SHA1: f93b19dec144a8424524e50a3699ac63765dfe04 MD5sum: 44b021089123e22cde0541630c5b36f6 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python-pandas Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13062 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-dateutil, python-tz, python-numpy (>= 1:1.7~), python-pandas-lib (>= 0.18.0+git114-g6c692ae-1~nd+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.18.0+git114-g6c692ae-1~nd+1_all.deb Size: 1761792 SHA256: f1452fc102ed5fb6e5c1ed60b83827e92d31500656abe4dafeba3f2065b571e6 SHA1: ac862f3ddedb9f2443e932f7cfeeb257a638302e MD5sum: 7df136889c5732a379e779af5f0376b7 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56964 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.18.0+git114-g6c692ae-1~nd+1_all.deb Size: 10948284 SHA256: 4cb007cd1e7392e6c4be73068bfc9f03f465eb510b529757b41c3f5826eaa536 SHA1: 64e46a13ee598fa564d6786022279cd9d04739ef MD5sum: 679745535eb690f26b4eb37f1348ea4c Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6736 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.18.0+git114-g6c692ae-1~nd+1_i386.deb Size: 1561194 SHA256: 7927680872223fcb5d725ac027a78de1a025b41e364e4d4497da4d57b1a5fee0 SHA1: b27dfa5d5bbfef576d24e59cca44f54cb632b936 MD5sum: 8b4c53b1d513b52ffafbaf3985c821f5 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-pandas-lib-dbgsym Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6180 Depends: python-pandas-lib (= 0.18.0+git114-g6c692ae-1~nd+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.18.0+git114-g6c692ae-1~nd+1_i386.deb Size: 5623918 SHA256: dc7ba38df096e56d3b03598dfcc54e9b381377ddc3885a47b6822932e96d8eb6 SHA1: 08528255f946ba1184fb61c672e2fe8e4cd5d183 MD5sum: 259f59d263902bd9fa606288b596a840 Description: Debug symbols for python-pandas-lib Auto-Built-Package: debug-symbols Build-Ids: 1595828c3cbb0349ac0d10353850981b304bc8c2 3a75da1b6dd7ee1314d4437377eb06d34a2f0150 4c61845a3a71e056f180595d066d67a1e089e3d5 579f284e0919298c754f008cfb99ecfa365a3988 5fb474fdb0ab2ffd332142b64ce452070dfeddab 6493a8d430145139d8fc7c377a63b8b9efac0cd5 815de41753f874a9f128702296091f46b2e4ec93 868cfac52b3a68b17078058cf051bc32a8c6ad0c ad6eff2f7e7011582fb48c278081536ace53fb3a d29cb64be6568997fe97d9f189aaecbcd7b6eb8a d4dbeb1cf6e82ba0eec5822040d3e5dfb65964db e40f988d5c1ec77463b267a9e26766bb6ff4f8c8 f910c93f359798baa43c6f70502d6d73a1d06827 Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 784 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-six, python-numpy Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.4.1-1~nd+1_all.deb Size: 174688 SHA256: c5282b48aa083f93388c244239135b9e311ede79d18e8d7aacfc49b114477e86 SHA1: 103f21f016e25f35a12c53912753cc4d7a588091 MD5sum: 9b09b379402b06baf792953b23223717 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1407 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.4.1-1~nd+1_all.deb Size: 364182 SHA256: 28030b0c7f9032d63d5b6f504c4d5d5f02bf1c9e63164783b92ee03eeae1a0db SHA1: d668b25e0c1b7f90f558634344151ab1118e4d26 MD5sum: 98112941edbd5d9db3a56f734d70c2ff Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pp Source: parallelpython Version: 1.6.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.parallelpython.com/ Priority: optional Section: python Filename: pool/main/p/parallelpython/python-pp_1.6.2-2~nd+1_all.deb Size: 34266 SHA256: 6ef3aa699e927edfc8ec788d98beac10bec4de47387f92d79d44b0183b3c3c3d SHA1: d8942b2e7dddc5e29cc52b2a4cca69a392348a09 MD5sum: 36530320f9038b882b0e8b9d5be61505 Description: parallel and distributed programming toolkit for Python Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. pp module features cross-platform portability and dynamic load balancing. Thus application written with PP will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Python-Version: 2.6, 2.7 Package: python-pprocess Source: pprocess Version: 0.5-1+nd0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 716 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-1+nd0~nd+1_all.deb Size: 81598 SHA256: 3842060cc266ddff9a61fb88f4c4e34004ad6e6aba6ba60d74ce046dc8c1b126 SHA1: 36cc022ca9cf83a947a9c1a3c7eabffa69dea1f2 MD5sum: 23b94adc9313ef79112c781728008a69 Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Python-Version: 2.7 Package: python-psutil Version: 2.1.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 539 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python (<< 2.8), python:any (>= 2.7.5-5~), python (>= 2.7~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python-psutil_2.1.1-1~nd+1_i386.deb Size: 116698 SHA256: f59491e653c426db15b640f98bac5755ee5e29429002734e9713502fa1f90124 SHA1: 337c37bd74c1874a2698135e85e828f12d469d18 MD5sum: 3880b15779293aca44750b7aa1715049 Description: module providing convenience functions for managing processes psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. Package: python-py Version: 1.4.30-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 306 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.30-1~nd+1_all.deb Size: 66744 SHA256: c001784ff904787454048c79b7d2d8abe95f3d40cdc07e74a45107abd89b6d68 SHA1: 84d2bb75ee7670595f34f2474fead458081c7d15 MD5sum: 0f1d2006dfcb5ac62ed22cdcaec45718 Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pyentropy Source: pyentropy Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: python2.6-pyentropy, python2.7-pyentropy Homepage: http://code.google.com/p/pyentropy Priority: extra Section: python Filename: pool/main/p/pyentropy/python-pyentropy_0.4.1-1~nd+1_all.deb Size: 21334 SHA256: 3ab479e9d42286158d724eb219d6205e3c8071a2a8fd6436afc501b57ecf086b SHA1: 19b81597aeb2806a30580c43b1fcf5f5ad3d586d MD5sum: 662336ec73a1d4c272a6d2763ef118df Description: Python module for estimation information theoretic quantities A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods, such as * Panzeri-Treves (PT) * Quadratic Extrapolation (QE) * Nemenman-Shafee-Bialek (NSB) Python-Version: 2.6, 2.7 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1314 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>= 1.0.16), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0 (>= 0.1.7), libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.7-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd+1_i386.deb Size: 260110 SHA256: 55430f537fe25cda32cb07bb6658493e7c7838c97053fb4f89685d7d61fea4e9 SHA1: 0d339b73587d25044abb440680446c5af029392a MD5sum: 1ecb03d991714db6e21836d6a4aafb47 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides PyEPL for supported versions of Python. Package: python-pyepl-common Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 813 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd+1_all.deb Size: 819288 SHA256: 7eb7da90f6e629e4f1eb828beac597cd0d9950fd05a06f9bb135d2e58d6a2d13 SHA1: 6fd9ebae91ca87f9a3efa61b64ccb01de6b033f7 MD5sum: b608bf8ddef20a65f3bef3f99781ed82 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pyglet Source: pyglet Version: 1.1.4.dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4356 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-ctypes | python (>= 2.5), libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa Recommends: libasound2 | libopenal1 Provides: python2.5-pyglet, python2.6-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.1.4.dfsg-1~nd+1_all.deb Size: 972190 SHA256: d192998b5a0ad23a8014afd611a21ad4300c71dbd5d14b3f64e3f0fd669b6210 SHA1: 5e072bcd364c59d478f4006386eb7487a8ba4dbd MD5sum: 920b7e086aa6042bef058e20b3c5b057 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pymc Source: pymc Version: 2.3.4+ds-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2629 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.11), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3, libquadmath0 (>= 4.6), python-scipy, python-matplotlib, python-nose Recommends: python-tables Suggests: python-pydot, ipython Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: python Filename: pool/main/p/pymc/python-pymc_2.3.4+ds-1~nd+1_i386.deb Size: 527012 SHA256: 331bac9d422fd3985e55b6b4b6809aafba7f181642cb6f68ca22ceffae96bb0d SHA1: f6fa69d2165f27f38a20cc679f5f48556edc8dbd MD5sum: 373b7d45888817d64f35ae515d76a75d Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. Package: python-pymc-doc Source: pymc Version: 2.3.4+ds-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1860 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: doc Filename: pool/main/p/pymc/python-pymc-doc_2.3.4+ds-1~nd+1_all.deb Size: 839812 SHA256: 7b1065ed4bec2186333d05434ac2369fc6d0f67bc6b97416ea71a067b35c1674 SHA1: cf73784906e058cec17d8d2ba831d09b877bd10d MD5sum: 253948e97486b725a69427e9806b090c Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. . This package provides the documentation in HTML format. Package: python-pynn Source: pynn Version: 0.7.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.5-1~nd+1_all.deb Size: 192126 SHA256: 4c25bbb4a6efbe9c9614c69977d255840ceb5469e917e9e42631963e11fa73b5 SHA1: 4d68ad72d900c06b6d482eaabab6847de44296f2 MD5sum: bb6a423667c3716a6baee943a4d73d50 Description: simulator-independent specification of neuronal network models PyNN allows for coding a model once and run it without modification on any simulator that PyNN supports (currently NEURON, NEST, PCSIM and Brian). PyNN translates standard cell-model names and parameter names into simulator-specific names. Package: python-pyoptical Source: pyoptical Version: 0.2-1~sid.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 72 Depends: python-serial Enhances: psychopy, python-pyepl Homepage: http://github.com/esc/pyoptical Priority: extra Section: python Filename: pool/main/p/pyoptical/python-pyoptical_0.2-1~sid.nd1_all.deb Size: 6946 SHA256: 61b96afae4d2c43351ad598253b8b38fff6b0c2d99669f49f431b8d8678f89be SHA1: 8442b14c93a7d2c3718d78655dc85fef951bcfaf MD5sum: 1eaea3d3d51bcd440299d8aa65220111 Description: python interface to the CRS 'OptiCAL' photometer The 'OptiCAL' is a photometer that is produced by Cambridge Research Systems (CRS). This device is a standard tool for gamma-calibration of display devices in vision research. This package provides a free-software replacement for the Windows-software distributed by the manufacturer that allows querying an OptiCAL via a serial connection. pyoptical can be used as a library for third-party applications or as a standalone command line tool. Python-Version: 2.5, 2.6 Package: python-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2300 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6), python (<< 2.8), python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit3/python-pypsignifit_3.0~beta.20120611.1-1~nd+1_i386.deb Size: 668202 SHA256: fc336c82309b3d3ad9d796a9728bdebd0841f1d5df2bce04548e41eb9f8dba81 SHA1: 3f5672bab06fdb3f556a6028ab9d1baf561580c0 MD5sum: fb010786d6c6c8185eeec97327f177ae Description: psychometric analysis of psychophysics data in Python Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers: . * full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment * identification of influential observations and outlier detection * flexible shape definition of the psychometric function . This package provides the Python bindings. Package: python-pyssdh Source: openelectrophy Version: 0.0.svn143-1~sid.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 792 Depends: python-support (>= 0.90.0), python-numpy, python-scipy, python-qt4, python-mysqldb, python-matplotlib Recommends: g++ | c++-compiler, python-mdp Suggests: mysql-server Provides: python2.4-pyssdh, python2.5-pyssdh Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: python Filename: pool/main/o/openelectrophy/python-pyssdh_0.0.svn143-1~sid.nd1_all.deb Size: 119482 SHA256: 047337422d8c671d1ca38e938384c985fc1fac566d178123b6cb5ee4d1fccc51 SHA1: 2fb56ca17ad07ee58955caf8de17a4cd24d3d85a MD5sum: 1790628c9012a2ae40aff02998bd9c41 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy Python module. Python-Version: 2.4, 2.5 Package: python-pytest Source: pytest Version: 2.7.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 493 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_2.7.2-2~nd+1_all.deb Size: 132318 SHA256: 8c6a21c0033f747b9b9ebada7c9141da72f72cfbd05b05e05a048b3a357ac0b9 SHA1: 721041e383ea32727a71cf67b2cd8e00a8c4f8ab MD5sum: c1996d99c74950b4a55067a4de197a3f Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. Package: python-pytest-doc Source: pytest Version: 2.7.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3002 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_2.7.2-2~nd+1_all.deb Size: 431284 SHA256: d518b5ce474fc01adc4076a93f8c77760c4779e4d4bc08834a1ce827985cabd9 SHA1: c40415272b23c67c8561b22c3714315fac8c33d3 MD5sum: 42c33ed27f3766707c70a4d10467dc1c Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-localserver Source: pytest-localserver Version: 0.3.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://bitbucket.org/pytest-dev/pytest-localserver/ Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-2~nd+1_all.deb Size: 19198 SHA256: 2f64f1b2a625a270c68948df4a43096ab186027c6bd069c70269ecbcfdaf3624 SHA1: ab00c431d40fa8348c18a58c0caf96b243fbed45 MD5sum: a98bc5d4e1452d03901d3255e66ffa5f Description: py.test plugin to test server connections locally (Python 2) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 2. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python-pytest, python-tornado, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd+1_all.deb Size: 5648 SHA256: e5920e43e010f58bc1e1330d50856b4bd7835295c5493ed9bc5de4dcdbee6700 SHA1: 5346fa774430224e768520a0c1d2a9ef999e9c4f MD5sum: 5b573689c8eec7d51ce53b18bcf26728 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-pyxid Source: pyxid Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python-pyxid_1.0-1~nd+1_all.deb Size: 11020 SHA256: 1031c0d69dd73cb38f3e0b826193211706a94bfd04da4287288418b257e54249 SHA1: 0f0d0524354e5d07eb89efcb11779d9acd9d57e2 MD5sum: 1f2a9bc07952b1f5c6b65fc5c092f75c Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python-pyxnat Source: pyxnat Version: 0.9.1+git39-g96bf069-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1722 Depends: neurodebian-popularity-contest, python-lxml, python-simplejson, python-httplib2 (>= 0.7.0) Recommends: python-networkx, python-matplotlib Homepage: http://packages.python.org/pyxnat/ Priority: extra Section: python Filename: pool/main/p/pyxnat/python-pyxnat_0.9.1+git39-g96bf069-1~nd+1_all.deb Size: 376516 SHA256: c44e63035749ea2429ed9f2aab12e3ce41aa533de51f0cf3ce9836f882e3a477 SHA1: 2baec2a6b0c311f22f1a6e685cea20ae7019dac7 MD5sum: 603bfa4501f120f7ca01ed5ed95293b0 Description: Interface to access neuroimaging data on XNAT servers pyxnat is a simple Python library that relies on the REST API provided by the XNAT platform since its 1.4 version. XNAT is an extensible database for neuroimaging data. The main objective is to ease communications with an XNAT server to plug-in external tools or Python scripts to process the data. It features: . - resources browsing capabilities - read and write access to resources - complex searches - disk-caching of requested files and resources Package: python-quantities Version: 0.10.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 323 Depends: neurodebian-popularity-contest, python2.7 | python2.6, python (>= 2.6.6-7~), python (<< 2.8), python-numpy (>= 1.4) Homepage: http://packages.python.org/quantities/ Priority: extra Section: python Filename: pool/main/p/python-quantities/python-quantities_0.10.1-1~nd+1_all.deb Size: 62610 SHA256: 24764ab44e8e2357cdb8d4882acce352d96b34ed6b3af8be217617eb51848f83 SHA1: 9367905e8af4cb696831c327b20e43a3e2d52616 MD5sum: d08b442a214c35f1e1f9fa595d311cf6 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python-scikits-learn Source: scikit-learn Version: 0.17.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.17.1-1~nd+1_all.deb Size: 55984 SHA256: f38e58989cec3d7f62942a489521a1d334a5014a81bf6b684816854cce87b6b7 SHA1: 6f3492b2c9c57390068f31cb24d582a6888806a9 MD5sum: 7f9e4588e2be9978f59010d669e8d626 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-scikits.statsmodels Source: statsmodels Version: 0.6.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9 Depends: neurodebian-popularity-contest, python-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.6.1-1~nd+1_all.deb Size: 5916 SHA256: 9bc5375614e5a8fe5d0971b590cc7418ed54ba3c13f74c19608f9f0bd942bcda SHA1: cf13e973da4b7e8bdc21f82a02a155afe465ee97 MD5sum: eb4bf6a7aa273d56602a55d601134c11 Description: transitional compatibility package for statsmodels migration Provides old namespace (scikits.statsmodels) and could be removed if dependent code migrated to use statsmodels for clarity of the namespace. Package: python-scrapy Version: 1.0.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 986 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-lxml, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python, python-openssl, python-service-identity, python-six, python-twisted, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: ipython, python-django, python-guppy, python-imaging, python-mysqldb, python-pygments, python-simplejson | python (>= 2.6) Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.3-1~nd+1_all.deb Size: 175798 SHA256: 6dc7f6e606591df2b833589c36efc783d5ced94cbb56de524e6b49eb8ce1106e SHA1: a6c48350ffdbdd0f2b364c5499c0a8bf4c6b767a MD5sum: 2b4bd67679a9e89b6695bedb4ebdd9cf Description: Python web scraping and crawling framework Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy script and modules. Package: python-scrapy-doc Source: python-scrapy Version: 1.0.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7133 Depends: neurodebian-popularity-contest Recommends: libjs-jquery, libjs-underscore Homepage: http://scrapy.org/ Priority: optional Section: doc Filename: pool/main/p/python-scrapy/python-scrapy-doc_1.0.3-1~nd+1_all.deb Size: 1540270 SHA256: 7df7413c2bf7b2719ad9909232e3cce4c32527fae7a1d3abf1d27028161977d3 SHA1: 58bf858628c0aa49dd7603e8b170de65105c1e69 MD5sum: 83e38127fe1d883c462951c0a8600788 Description: Python web scraping and crawling framework documentation Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy documentation in HTML format. Package: python-seaborn Source: seaborn Version: 0.6.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 698 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-pandas, python-matplotlib Recommends: python-statsmodels, python-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python-seaborn_0.6.0-1~nd+1_all.deb Size: 117686 SHA256: abffc638b5e9816671554f6362e8275b1a17a121898ec39dd58775c7dae4a1a0 SHA1: 154fc761e720dfa27f163f28988f39264433c920 MD5sum: 8ae323b26b3f57933f87cc1c6e41fd60 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package. Package: python-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python-setuptools-scm_1.8.0-1~bpo8+1~nd+1_all.deb Size: 11454 SHA256: 2471d7fee8d771b29d6767532798cfa448170efbd1b52b756804f09bc238c6da SHA1: a00adfcd002ea4b8c101ba54564e67e573e85809 MD5sum: 139fa01be309df44565764efe6cf6ef9 Description: blessed package to manage your versions by scm tags for Python 2 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 2. Package: python-simplegeneric Source: simplegeneric Version: 0.7-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.6-simplegeneric, python2.7-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd+1_all.deb Size: 9802 SHA256: ccfadfca5d3a2796000fcc3d0ada9731e0f45258b365c0ee84591f3770427913 SHA1: b4bd46ca82b53ea624e1ffba0de0728089a89140 MD5sum: 0482bb6d6be4162e4e3e57a5a181d55c Description: Simple generic functions for Python The simplegeneric module lets you define simple single-dispatch generic functions, akin to Python's built-in generic functions like len(), iter() and so on. 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Package: python-skimage Source: skimage Version: 0.10.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15134 Depends: neurodebian-popularity-contest, libfreeimage3, python-numpy, python-scipy (>= 0.10), python-six (>= 1.3.0), python-skimage-lib (>= 0.10.1-1~nd+1), python (>= 2.7), python (<< 2.8) Recommends: python-imaging, python-matplotlib (>= 1.0), python-nose, python-pil, python-qt4 Suggests: python-opencv, python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage_0.10.1-1~nd+1_all.deb Size: 11929000 SHA256: 26a15e982952e9b25c3a01429758b7c907961ec356cca9752891db15ad8908aa SHA1: 08847ca24011d9e0f6628a01f29f0133981f7482 MD5sum: f526a0e7d0fb0fbd9aaf45f64a046ca5 Description: Python modules for image processing scikit-image is a collection of image processing algorithms for Python. 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Python-Version: 2.7 Package: python-sklearn Source: scikit-learn Version: 0.17.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5283 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.17.1-1~nd+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.17.1-1~nd+1_all.deb Size: 1223466 SHA256: d54d2029015db48a0c04ac2babe7ccd1847d95ae52688792f8d0dd55c89bef36 SHA1: 246d1d8a77becb84f2bceac9671c25fce5f7f28b MD5sum: d667992ca516e1d20d7de2dfe125c784 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.17.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24871 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.17.1-1~nd+1_all.deb Size: 4018688 SHA256: a619e11b4ab5521517de2eaef2ff4984a94b434a1e6249e6e1912d456e4bc42d SHA1: 9a019597650a839ade9fe2ecb72642b08a3d5928 MD5sum: 16d42fbf9dabdd292547f7e9528f647b Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.17.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5138 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.17.1-1~nd+1_i386.deb Size: 1093590 SHA256: b07fc007fb306f74eae5af43d480d192947ea893d2a3194eb57a89bb07b27744 SHA1: c82e2ede58112ee35d80333abee71dbb0568fac8 MD5sum: 76aca3e32cfb816951df7bab8abc1baa Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. 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Package: python-sphinx Source: sphinx Version: 1.0.7-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4188 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-docutils (>= 0.5), python-pygments (>= 0.8), python-jinja2 (>= 2.2), libjs-jquery Recommends: python (>= 2.6) | python-simplejson, python-imaging Suggests: jsmath Homepage: http://sphinx.pocoo.org/ Priority: optional Section: python Filename: pool/main/s/sphinx/python-sphinx_1.0.7-2~nd+1_all.deb Size: 1260238 SHA256: 6b0bdebb3903a4eb0a75440f121dde7c531d0b7b060d33223f1185d9e0a27ce9 SHA1: 555f959d260ce486fb4395838b0918eaf71fab5e MD5sum: c52dab199b31675ed95d4298586b8ed2 Description: tool for producing documentation for Python projects Sphinx is a tool for producing documentation for Python projects, using reStructuredText as markup language. . Sphinx features: * HTML, CHM, LaTeX output, * Cross-referencing source code, * Automatic indices, * Code highlighting, using Pygments, * Extensibility. Existing extensions: - automatic testing of code snippets, - including doctrings from Python modules. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd+1_all.deb Size: 117140 SHA256: 6c9a6db7304b5e89b7234974e577b9c57f42d4f363a8e84d2e29ec9f8a64616d SHA1: 9ce250a1f9b8fc1728058c2808026b47da96ebcc MD5sum: 185c9304fc5463f7488db9b1fd36e992 Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-spyderlib Source: spyder Version: 2.2.5+dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4028 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libjs-sphinxdoc (>= 1.0), libjs-jquery, libjs-mathjax, python-qt4 Recommends: ipython-qtconsole, pep8, pyflakes (>= 0.5.0), pylint, python-matplotlib, python-numpy, python-psutil (>= 0.3.0), python-rope, python-scipy, python-sphinx Suggests: tortoisehg, gitk Breaks: spyder (<< 2.0.12-1) Replaces: spyder (<< 2.0.12-1) Provides: python2.7-spyderlib Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: python Filename: pool/main/s/spyder/python-spyderlib_2.2.5+dfsg-1~nd+1_all.deb Size: 1651710 SHA256: a848e076d4c5edb65fb283f745212616fcf9a34e60d9b1a8856567a394ba1107 SHA1: 50297650b3e49c95185c7857e668e4e21c720064 MD5sum: eabe7544210191b0f23c9a80a9065e86 Description: python IDE for scientists Originally written to design Spyder (the Scientific PYthon Development EnviRonment), the spyderlib Python library provides ready-to-use pure-Python widgets: source code editor with syntax highlighting and code introspection/analysis features, NumPy array editor, dictionary editor, Python console, etc. It's based on the Qt Python binding module PyQt4 (and is compatible with PySide since v2.2). Package: python-spykeutils Source: spykeutils Version: 0.4.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2096 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-scipy, python-quantities, python-neo (>= 0.2.1), python-nose, python-sphinx Recommends: python-guidata, python-guiqwt, python-tables, libjs-jquery, libjs-underscore, python-sklearn (>= 0.11), python-joblib (>= 0.4.5) Provides: python2.7-spykeutils Homepage: https://github.com/rproepp/spykeutils Priority: extra Section: python Filename: pool/main/s/spykeutils/python-spykeutils_0.4.3-1~nd+1_all.deb Size: 308836 SHA256: 0246c36a593a643572eac1c12920230c02b37799bd332843ac51d360b967051b SHA1: f8731b78bfc5462a11c7af4da709cae146e41e9d MD5sum: 4ac90d2bbf1755bd864efa79c691103a Description: utilities for analyzing electrophysiological data spykeutils is a Python library for analyzing and plotting data from neurophysiological recordings. 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Package: python-statsmodels Source: statsmodels Version: 0.6.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12724 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-statsmodels-lib (>= 0.6.1-1~nd+1), python-patsy Recommends: python-pandas, python-matplotlib, python-nose, python-joblib, python-cvxopt Suggests: python-statsmodels-doc Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.6.1-1~nd+1_all.deb Size: 2570424 SHA256: 6ddb920b2738d044c263f51b52326a681a84e007a1506441e037ab02dfb785f2 SHA1: 4c7275808073332dcd6412141e01d1549fd4008f MD5sum: 9afef5292f728083bf4c00ec0dcb598a Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.6.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 44133 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-statsmodels Conflicts: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.6.1-1~nd+1_all.deb Size: 11734376 SHA256: 4c5a0613ea367fc827602df0704261b2ae4970a35aac60153e3e43ab01c0c556 SHA1: f6ffa94e8b37e5f2d6e5a3c3d22837f0a5828a8a MD5sum: e4b3d194f5dd39e1f089d720afc6f682 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.6.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 418 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4) Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.6.1-1~nd+1_i386.deb Size: 84596 SHA256: bde1b4373cb9507aba7bd1588fd85bde493167b2e63d0b995e57d905f499ccf5 SHA1: e808dc8def59d08b364d49ad852887e6a88aacd2 MD5sum: 7f4287b2ecf9b847486d9bf303061386 Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-stfio Source: stimfit Version: 0.15.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1408 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3.0.6, libfftw3-double3, libgcc1 (>= 1:3.0), libhdf5-10, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), libsuitesparse-dev, zlib1g-dev Recommends: python-matplotlib, python-scipy, python-pandas Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.15.2-1~nd+1_i386.deb Size: 501784 SHA256: b0bf60343072d3392b5521986b6276183ba2011c731e96bb85a18c39e0ed93b3 SHA1: 92117bedca29bac091f66ae611a6d153afee0b21 MD5sum: 3e8f1a48742bc702ca1032e5edfc20d5 Description: Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-surfer Source: pysurfer Version: 0.6-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 193 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nibabel, python-numpy, python-scipy, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.6-1~nd+1_all.deb Size: 43190 SHA256: acc7fbfc89d8c5200633705b40325ad457971313204c3f737aa4a49e645657ed SHA1: 0f70b1794d04389e6680c11ee2a98d4d98fc2227 MD5sum: 706f549c94471dfd7ac06207255436e8 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-sympy Source: sympy Version: 0.6.7-1.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9268 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Recommends: python-imaging, python-ctypes, ipython Homepage: http://code.google.com/p/sympy/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_0.6.7-1.1~nd+1_all.deb Size: 1696300 SHA256: 65cc1db7a2ef35ab86aef147e04c6b2d8b7c2ca10e689a3e9767e3bce6291484 SHA1: b6182a46ed673beb7b3568356ac27cb73ca33585 MD5sum: 16047fa2cf0d90581ff5df51e1de35b1 Description: Computer Algebra System (CAS) in Python SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. Package: python-tables Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2815 Depends: neurodebian-popularity-contest, python-numpy, python, python-numexpr, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tables-lib (>= 3.2.1-1~nd+1), python-tables-lib (<< 3.2.1-1~nd+1.1~), python-tables-data (= 3.2.1-1~nd+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables_3.2.1-1~nd+1_all.deb Size: 344840 SHA256: 3493c792072ab913aef70030022c75ea4e63783024c7347848bec635dba5456c SHA1: 9a3a846299057d4f75db3e005ef2486fc1c34c67 MD5sum: 1d45c911dac8c853a81718c16e8eaed6 Description: hierarchical database for Python based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 2 version of the package. Package: python-tables-data Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 957 Depends: neurodebian-popularity-contest Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-data_3.2.1-1~nd+1_all.deb Size: 51248 SHA256: 37549f40bb3af4758ae9d9a456fec6902b07b257a0076264727c4398f3b5f393 SHA1: f0f3c1a62e58c989da869240aafc32f3b2f8a528 MD5sum: 9292011acdf9edc4d7988c5d9060f467 Description: hierarchical database for Python based on HDF5 - test data PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes daya fils used for unit testing. Package: python-tables-dbg Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1701 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4), python-tables (= 3.2.1-1~nd+1), python-tables-lib (= 3.2.1-1~nd+1), python-numpy-dbg, python-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python-tables-dbg_3.2.1-1~nd+1_i386.deb Size: 464548 SHA256: 41c18c1704e6f576934d10c9aec1268569535835e443937701ac3e0e655c6e7b SHA1: 02222fd989875141ef1a4573c1f45d983650a6db MD5sum: b97e5aaec52dce46437f480a56e757dd Description: hierarchical database for Python based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 debug interpreter. Package: python-tables-doc Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8931 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-jquery-cookie Suggests: xpdf | pdf-viewer, www-browser Homepage: http://www.pytables.org Priority: optional Section: doc Filename: pool/main/p/pytables/python-tables-doc_3.2.1-1~nd+1_all.deb Size: 4249302 SHA256: 0261a6906b3f11e19de72907f72181e28b0ceaa39ee09cc4f986a0aa37109618 SHA1: 4b89ae7eb63a55068fb800ce79157454b8067e4d MD5sum: 1110d75f3980e0431b8739c7d08c485a Description: hierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats. Package: python-tables-lib Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1369 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4) Recommends: python-tables (= 3.2.1-1~nd+1) Breaks: python-tables (<< 3.0.0-3) Replaces: python-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-lib_3.2.1-1~nd+1_i386.deb Size: 367370 SHA256: 42c22765ab770912d4b7a8319c44fbd7c16941356e1c81dfe463edee14326ea7 SHA1: 6e2cf32e0113ce141531d19c50db1d86e5cab525 MD5sum: f3738a00dfa86b9a6ea8dec99bd5a1cf Description: hierarchical database for Python based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 interpreter. Package: python-tornado Version: 2.1.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 944 Depends: neurodebian-popularity-contest, python2.6 | python2.7, python (>= 2.6.6-7~), python (<< 2.8), python-pycurl, ca-certificates Recommends: python-mysqldb Homepage: http://www.tornadoweb.org/ Priority: optional Section: python Filename: pool/main/p/python-tornado/python-tornado_2.1.0-1~nd+1_i386.deb Size: 223240 SHA256: e48226c5f84e8edfd0f5b9beefb6ece2a95a573777c4382c4523089845ef8ec2 SHA1: a545ea826a1877eebe7e2cb8a0686320554751df MD5sum: 841fa03b37ae50ab479c174e2ec0aa48 Description: scalable, non-blocking web server and tools Tornado is an open source version of the scalable, non-blocking web server and tools that power FriendFeed. The FriendFeed application is written using a web framework that looks a bit like web.py or Google's webapp, but with additional tools and optimizations to take advantage of the underlying non-blocking infrastructure. Package: python-tqdm Source: tqdm Version: 4.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python-tqdm_4.4.1-1~nd+1_all.deb Size: 35302 SHA256: 629c9d5f35c9f7d4968f2eb73e7a97833f9e6a4b0b3dab24e504faec07b4df53 SHA1: 67d3d54caa5a1b741f851b78795451d6bcc2ddaa MD5sum: e692b1fa07764e640a2dd827a512901e Description: fast, extensible progress bar for Python 2 tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 2 version of tqdm . Package: python-tz Version: 2011h-0.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 180 Depends: neurodebian-popularity-contest, tzdata, python, python-central (>= 0.6.11) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2011h-0.1~nd+1_all.deb Size: 46912 SHA256: 0e8fdcb7a39493961a0d36f489eb13080b7f1e52a6d8324fedeb2d9772af249a SHA1: b1818fcc06cc8630f2af4eb25229e441028a0d81 MD5sum: cdd882a56d74682e4229bc00421ee82b Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Python-Version: all Package: python-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python-contextlib2, python-mock, python-six (>= 1.5), python-wrapt, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python-vcr_1.7.3-1.0.1~nd+1_all.deb Size: 43522 SHA256: 77ab97cd48b87aa68889d39a235da7456510032690244b58d17debfd9668f851 SHA1: 21b51ade6789d7d502a864ce2d8b8720a19ca094 MD5sum: 64b0712a730827639201fdfc39e8f372 Description: record and replay HTML interactions (Python library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 2. Package: python-visionegg Source: visionegg Version: 1.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1731 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgl1-mesa-glx, python-numpy (>= 1:1.6.1), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Homepage: http://www.visionegg.org Priority: optional Section: python Filename: pool/main/v/visionegg/python-visionegg_1.2.1-1~nd+1_i386.deb Size: 671302 SHA256: 5138195ee25976221445b2e1d47bb824b3f5a9c1802a7f7b66af72069bc9557d SHA1: 52ab53e616cf5d317ee5adb80ad408a4574b30bb MD5sum: fc23f84105850abddde54cb7f2da277a Description: Python library for 2D/3D visual stimulus generation The Vision Egg is a programming library that uses standard, inexpensive computer graphics cards to produce visual stimuli for vision research experiments. Package: python-vtk Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 28222 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), libavcodec53 (>= 4:0.8-1~) | libavcodec-extra-53 (>= 4:0.8-1~), libavformat53 (>= 4:0.8-1~) | libavformat-extra-53 (>= 4:0.8-1~), libavutil51 (>= 4:0.8-1~) | libavutil-extra-51 (>= 4:0.8-1~), libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libmysqlclient16 (>= 5.1.50-1), libopenmpi1.3, libpq5, libpython2.7 (>= 2.7), libstdc++6 (>= 4.2.1), libswscale2 (>= 4:0.8-1~) | libswscale-extra-2 (>= 4:0.8-1~), libvtk5.8, libx11-6, tcl-vtk, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), zlib1g (>= 1:1.1.4) Suggests: vtk-examples, vtk-doc, mayavi2 Homepage: http://www.vtk.org/ Priority: optional Section: python Filename: pool/main/v/vtk/python-vtk_5.8.0-7+b0~nd+1_i386.deb Size: 6785588 SHA256: c24707f0b2c1f645b1db29c9c9276d44e0d5151f52f042baf5401e923d419a25 SHA1: 20cec804c9a2a38cecd7deefb62510dbc34b7e13 MD5sum: 2689898d8feac2a9e552601460675e6b Description: Python bindings for VTK The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This provides the shared libraries that enable one to use VTK from Python scripts. You will need Python and vtk installed to use this. Some useful information may be available in /usr/share/doc/python-vtk/. Python-Version: 2.7 Package: python-vtk-dicom Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8, python-vtk Provides: python2.7-vtk-dicom Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: python Filename: pool/main/v/vtk-dicom/python-vtk-dicom_0.5.5-2~nd+1_i386.deb Size: 91752 SHA256: dc977a642d4cd57dc16317e67d2c6acdfd7bac4eefa6965614e526aae3dc3e8a SHA1: b90ef21da5b7f0c7be4dae0b478b52ebbf0496b7 MD5sum: a44605c17fb3fb2a9792f311d79209aa Description: DICOM for VTK - python This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Python 2.x bindings Package: python-w3lib Version: 1.11.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd+1_all.deb Size: 14094 SHA256: b7160742d1d6655d949e6a11303b3d861d8a9ffe4cd2b5dc02b90e4690c25bcc SHA1: 619b171f50cf2fc3f8a3d0ae40681464f2bd2ab7 MD5sum: abfa0ccef999dae58e5894ffa4af82f9 Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd+1_all.deb Size: 165572 SHA256: 7be4f3e227cb2aa792e79c5b7ccc6c3b878436e040471324db1dd284bc7ccdb6 SHA1: c0910fc03848e4825f9e1d276edd2a728981ce3e MD5sum: 35744ae66a39ca40f586d3da5dc66a57 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2709 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd+1_all.deb Size: 881836 SHA256: 23b0fda78028dc71c9645cce224cb3c01269827fc90c6429f94c3cb7ebc533dc SHA1: a9cbe941509ee644d02f93eff5076afb4dfcaf9d MD5sum: 6b2655fad599fafea5535c47d130fcc1 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-workqueue Source: cctools Version: 3.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 400 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python2.7 | python2.6, python (>= 2.6.6-7~), python (<< 2.8) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd+1_i386.deb Size: 137584 SHA256: 0e882af60fee16f7ee63a5c1e46dcf1902827e3527e39afcbeb5ce6f4157fb31 SHA1: 7e50b2f22c87129e11a8262de4bf72c7f0fa3ce7 MD5sum: 712385ea8df020ce46d1c5de45216df7 Description: cooperative computing tools work queue Python bindings CCTools's Work Queue is a system and API for building master-worker style programs that scale up to thousands of processors. This package provides bindings to access this system from Python. Package: python3-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.0.0-1~nd+1_all.deb Size: 22284 SHA256: 7ce1a8bc33d9665bdfca2e9f62fdba6e45b3cb152a185dc2d42e99b3fdc46bd3 SHA1: bb77b998936973e2f1724c1ee467037fb9582154 MD5sum: 709af60d648e61d95834e2b45a63c6f2 Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, python3, python3-lxml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd+1_all.deb Size: 81822 SHA256: 397553ba2c393746e303667d70871e29928088f030709f71ddc1e9cf050b8ea8 SHA1: fa10008219f71e5bc589696cb6cde597b1111080 MD5sum: 2bedbc4c2743ffb36b7e764446621051 Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python3-contextlib2_0.4.0-3~nd+1_all.deb Size: 8722 SHA256: 0a491f030c8c742f313aaea5f9b006b37c1870c6e4005220ebf2afe9be397d1e SHA1: c244a752ad56c9b2156ffd09d8eb9724291b6161 MD5sum: 9ed808ffc27d17ac4c668f60131205d9 Description: Backport and enhancements for the contextlib module - Python 3.x contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 3.x module. Package: python3-duecredit Source: duecredit Version: 0.5.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 239 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.5.0-1~nd+1_all.deb Size: 52728 SHA256: 87f31dbf36c1fd52d00284cc46f6854ea5b66b8e2e17f6d13c2ae1f96c2e8f8f SHA1: e1bec41490051d24a2667f6f22fc90260e9928dc MD5sum: 723e8714947229ea08354dbcbd8051c8 Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-future Source: python-future Version: 0.15.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.5:any, python3:any (>= 3.3.2-2~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python3-future_0.15.2-1~nd+1_all.deb Size: 346170 SHA256: bbc88a3bfe1da8b189ae590ddd8c9c5299b48a80a620427eb3098d39e48df52f SHA1: 6012b63a4e8c5ffba035de00a29c11492bade492 MD5sum: b618e2950a1d2b3acde7e2283e507420 Description: Clean single-source support for Python 3 and 2 - Python 3.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 3.x module. Package: python3-git Source: python-git Version: 2.0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1568 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 0.6.4), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.0.2-1~nd+1_all.deb Size: 289186 SHA256: c2f025e6cc4e8aecbe5f60fe923dd216e47f94d6e4bca67c581a954ec509d559 SHA1: 5f5bc938fc23222a540212de6f8a30c5450386ed MD5sum: a781c22839024992478342d7c99956c1 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-gitdb Source: python-gitdb Version: 0.6.4-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 230 Depends: neurodebian-popularity-contest, python-smmap, python3 (<< 3.6), python3 (>= 3.5~), python3-smmap, libc6 (>= 2.4) Provides: python3.5-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_0.6.4-3~nd+1_i386.deb Size: 55440 SHA256: f0c9d1e27fb60d5f3a7317706a019ceb8bd4a048aacfa5238fee522bdfde01a0 SHA1: 5df912783996d2f2bf5d54357b18ce37d062c6fb MD5sum: 84c932c9c9611ef03bd86063df123471 Description: pure-Python git object database (Python 3) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package for Python 3. Package: python3-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: python3-gitdb (= 0.6.4-3~nd+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python3-gitdb-dbgsym_0.6.4-3~nd+1_i386.deb Size: 23254 SHA256: 163a4767161ee8ccc86e81c4381f847495f176c3113a30a8f2cc52849b36826a SHA1: 0f2509496948863147e60e1c1c39dd243d1df8f5 MD5sum: 30b0a6d7e3d8863fa4d302ba3949720c Description: Debug symbols for python3-gitdb Auto-Built-Package: debug-symbols Build-Ids: bb2ae7a7eb776fcf4fdd5e1d0d5bfe4cde29517d Package: python3-humanize Source: python-humanize Version: 0.5.1-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python3-humanize_0.5.1-2~nd+1_all.deb Size: 12670 SHA256: eb53b7253b33997c80ef27e33d37519cf929e44eb64153d987a6b19d2833e7fd SHA1: 957dac3e198cfec8d7edb319555011c665550a83 MD5sum: a6f39e5b551bf6671a35dc023ffff692 Description: Python Humanize library (Python 3) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 3 version of the package. Package: python3-jdcal Source: jdcal Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd+1_all.deb Size: 7562 SHA256: 9f25374a1984cc55029085f0842ebcc556cb604d77ed5a3d9f2413d74d8d18db SHA1: 0b803e0c91b3084849b81ef4edebf8c82ba5a9b8 MD5sum: 9addeaab0579f0e325d2cc0be513923f Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python3-joblib Source: joblib Version: 0.9.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 358 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-nose, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.9.4-1~nd+1_all.deb Size: 78572 SHA256: 2158b02de7e22192d5c3e05fe5d5c46e13a9cb7201beb9561992a9fd6beb499e SHA1: fe2bc6b2007f1e55977129cbc9258431ce9b3168 MD5sum: 91b8307bcfc98c9046b06a7bfc5e1ca4 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-lda Source: lda Version: 1.0.2-9~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1242 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), python3-numpy, python3-pbr, libc6 (>= 2.4) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd+1_i386.deb Size: 235700 SHA256: 9ab1dacb978d245402908d0042d66a2b2b0838f359036d5e94a4a86e11fd1f3d SHA1: 02936e5b9e2d2a86c14f2836f4d5fb2a29160323 MD5sum: 771106b8e5d0b51a24c534ef329d9096 Description: Topic modeling with latent Dirichlet allocation lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 3.x module. Package: python3-mdp Source: mdp Version: 3.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1387 Depends: neurodebian-popularity-contest, python3-future, python3-numpy, python3:any (>= 3.3.2-2~), python-numpy, python-future Recommends: python3-pytest, python3-scipy, python3-joblib, python3-sklearn Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python3-mdp_3.5-1~nd+1_all.deb Size: 275288 SHA256: daea6afa80bd07e998e6619f4723b5e1e2481829971d83057bb823f82688cdad SHA1: 83c40cc3e9af5c666412136996bd5d5467086036 MD5sum: b7a08f083ad842fe1764419227f14c1d Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 3. Package: python3-mpi4py Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1512 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python3 (<< 3.6), python3 (>= 3.5~) Recommends: mpi-default-bin Suggests: python3-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python3-mpi4py_2.0.0-1~nd+1_i386.deb Size: 322646 SHA256: 44bf69ded4051c4564ce08f51e4c4dd8e7c50098e0c163bda56e3a695f1550a4 SHA1: 023b19d6767664f43b9c306d96f4b0a91a3add20 MD5sum: acf9c8fa555b1ac34f43e02573c64d8b Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python3-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4141 Depends: neurodebian-popularity-contest, python3-mpi4py (= 2.0.0-1~nd+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_2.0.0-1~nd+1_i386.deb Size: 1068420 SHA256: c59a954a74eaa8ec06432d85519d504f156d9b0f26e227467d1adddb028a0d5a SHA1: 0a634d9ec42c3e479e9477c2db0eb0dfc1f7c11d MD5sum: 316f42098908615da49ee290199f992f Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python3-msgpack Source: msgpack-python Version: 0.4.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 184 Depends: neurodebian-popularity-contest, python3 (>= 3.4~), python3 (<< 3.5), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.2-1~nd+1_i386.deb Size: 54374 SHA256: e3d4b463794e396e30ea9539533c92a891d3f59973f15a31af31bbc48218aeb0 SHA1: 78922f11829373cc9f87ab1b7265d63a8090a2ab MD5sum: 4de40766883f0a6de491e2c11be76633 Description: Python 3 implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python 3 extension module implementing the MessagePack format. Package: python3-nibabel Source: nibabel Version: 2.0.2-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63314 Depends: neurodebian-popularity-contest, python3-numpy, python3-scipy Suggests: python-nibabel-doc, python3-dicom, python3-fuse Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.0.2-1~nd+1_all.deb Size: 1962316 SHA256: 350f2a71415b9c9f7496337cb56a6fee9a2fbcc19d2f5fdd523b2e1f34b3e16a SHA1: 538bd0951c3ab58ca07650f47ea1a5c87b2bd3f1 MD5sum: 93f3edd19834628626d34dc096f06429 Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python3-coverage, python3-nose, python3:any (>= 3.3.2-2~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python3-nosexcover_1.0.10-2~nd+1_all.deb Size: 5188 SHA256: 3bcb86b62cdd25a1ec6517f1ede04a23e9e3c6377da80877180ba8f6678f743b SHA1: 75aa68d8e79156378313cccd6c08dcf0cf211a03 MD5sum: 76f88c19868c3489c6271b1a7a4be9bb Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python3-numexpr Source: numexpr Version: 2.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 446 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://code.google.com/p/numexpr/ Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.4.3-1~nd+1_i386.deb Size: 118560 SHA256: a6ad606035c794103a0f6d027faa0b6db7e143fe717fc8f476db0d0177ff3e3e SHA1: 539711a5ebc6136d925d6e272dca750ae328f5c1 MD5sum: 63778236c38632632c463ef282e09d07 Description: Fast numerical array expression evaluator for Python 3 and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains numexpr for Python 3. Package: python3-numexpr-dbg Source: numexpr Version: 2.4.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 328 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3-dbg (<< 3.5), python3-dbg (>= 3.4~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python3-numexpr (= 2.4.3-1~nd+1), python3-numpy-dbg Homepage: http://code.google.com/p/numexpr/ Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg_2.4.3-1~nd+1_i386.deb Size: 94778 SHA256: 99aeb3f42a425ba98fb89ea574b957438ad3db61378d56339dd394027aced51d SHA1: 738e0fdf1603183da5028cc5395ba9adf48016e8 MD5sum: dbd1a03e8870b4c0ef059058dab4a68c Description: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext) Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-openpyxl Source: openpyxl Version: 2.3.0-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1319 Depends: neurodebian-popularity-contest, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) | python3-et-xmlfile Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.3.0-2~nd+1_all.deb Size: 198354 SHA256: 36c997296bd6c1975e92fb180ad39a2f5f383bfdf07f06b433f1292c3c8d97da SHA1: 3099ed364ad6152430e60073610a752ab7611f2b MD5sum: 7a2cb6c8af7df65c8ca66c25feaa7811 Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-packaging Source: python-packaging Version: 16.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python3-pyparsing, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python3-packaging_16.2-2~nd+1_all.deb Size: 17286 SHA256: a147fcff55f750bc7b8b992bf795e9cf38490231fa5276c97036dd340b62ad8c SHA1: 7c08b0dc58f1c9f02768d848848efbcafc80a4d8 MD5sum: 6568daac84251afcef7f916f40d4e2d7 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python3-pandas Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13060 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.18.0+git114-g6c692ae-1~nd+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.18.0+git114-g6c692ae-1~nd+1_all.deb Size: 1761466 SHA256: 94a34a2670c983c4ca14982889effb1b156925d0066a70ed27d4f33b8f20dfec SHA1: 24864070bdfc71a093bf4451fd17c55fbf256345 MD5sum: 0178b7150f7e49266d2342b725dd454c Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-pandas-lib Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6601 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.18.0+git114-g6c692ae-1~nd+1_i386.deb Size: 1537380 SHA256: 787397799692bbda5689d86f1d2b68e86885c3673e5dade5c973c05c2931bdd5 SHA1: fb1fba5dea37ab3b7128f55b4726e35dbe25f530 MD5sum: 33d38a5ddcc62a8ae9416374a1485c6f Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. Package: python3-pandas-lib-dbgsym Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6951 Depends: python3-pandas-lib (= 0.18.0+git114-g6c692ae-1~nd+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python3-pandas-lib-dbgsym_0.18.0+git114-g6c692ae-1~nd+1_i386.deb Size: 6396698 SHA256: 93c5052c5d75da0d7cb2b8fb18a98fa6cd86c0dbca31740540ea36e513791ce4 SHA1: 0fef5a6b7e84c9cd36d67c04e804b5701346140a MD5sum: 1c52b018a5c7f3f4653f6281f552b7eb Description: Debug symbols for python3-pandas-lib Auto-Built-Package: debug-symbols Build-Ids: 2c9bba87bb15cbe6066580de9eec80557250585b 357e899744211bbf1707f583103a1b8468cd51d5 3ab3199be426540a5a98790afa48a7d30051b1bc 5ac1e86337c784113d4e549ef9ea1ea73f37645b 5e715f750f796d2fc495474a43ccd67f14198eb7 6ef054279d79cac5030e8fa62b1a255758cb484b 80302dfca5a3ab398f11874114ae0f17a228d1f0 8f204940c83750f601c7cd670a117a5e320e07b0 9dc03e781680fc87d0af5764ce8ef15934dcbf5a a5ff6521890463cb56f03ab41fe17229e4f73f0f a8b4837d6ab02cb9f0bcf4497752ea4f1e791a08 a979d713815f7c724a85a41799754905ceb7680f c2574c0a4658ad45dd551e4ede4ad5b1273394ec Package: python3-patsy Source: patsy Version: 0.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 783 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.4.1-1~nd+1_all.deb Size: 174512 SHA256: 1173fe4925cdb6b059f9be253ff4185adb0782868838594529bdc6da51f4719a SHA1: c4d5146d43dcbb5233ce9eda42bef1602e2d0d2d MD5sum: 7dbe83d8abb4cc6f6ca976a3ad0247e8 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-psutil Source: python-psutil Version: 2.1.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 242 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python3 (>= 3.4~), python3 (<< 3.5) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python3-psutil_2.1.1-1~nd+1_i386.deb Size: 60286 SHA256: eff31e5a7b61c9f6e6ec734b2073eef93c2d1a02444956698c7c50a8f18d36ff SHA1: 7a4ae5aaf3855e262a737f79467302ddd71caa29 MD5sum: cad692e3768014d8be6fb9e8d13f8295 Description: module providing convenience functions for managing processes (Python3) psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. . This package contains the Python 3 version of psutil. Package: python3-py Source: python-py Version: 1.4.30-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 306 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.30-1~nd+1_all.deb Size: 66822 SHA256: 9ef7bd473be38745545131d0151fe1071c9925969add8b93adb66558ca6af6d6 SHA1: 70f381d0acc20729f7aeaee42d4963da15179cfe MD5sum: 11ab34d0f1d6e31b683c834b9a84c2b2 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pytest Source: pytest Version: 2.7.2-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 494 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3, python3:any (>= 3.3.2-2~) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_2.7.2-2~nd+1_all.deb Size: 132432 SHA256: 96865644f1238586babed21633e85e8ab7713f6e8e65e69e213b2753cbcedf89 SHA1: 1e02d87400510c57dd4fd85fcd0f285704faaf32 MD5sum: a2d3cc9b92c9fa20cc361ee19c9ed56b Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py3.test script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-2~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://bitbucket.org/pytest-dev/pytest-localserver/ Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-2~nd+1_all.deb Size: 19274 SHA256: 97a7b78b2e02d5065ec6804cb7d890befc54aeeeccf4eb28e6cf3b60287ac3de SHA1: 39e1d74dd953692835179b37f5b8f1cf1455813c MD5sum: 4e985d26f70005cc1d1f4cddded2fe4e Description: py.test plugin to test server connections locally (Python 3) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 3. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-pytest, python3-tornado, python3:any (>= 3.3.2-2~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd+1_all.deb Size: 5724 SHA256: d1d4de5834aedf07c5048c0240c07b6b48ccad80957e7d656bf0773326b9cdc0 SHA1: a878173779a4f9651dd416792ef1c446d0aad9ee MD5sum: 30ba6a3d4ecfa3acc9d387e1fb338a6d Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-seaborn Source: seaborn Version: 0.6.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 698 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib Recommends: python3-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python3-seaborn_0.6.0-1~nd+1_all.deb Size: 117770 SHA256: 7f85b0a93fa8cbb1949334d20ccabae9506d36d3e0a77e1d97c225a35f34133f SHA1: c954f72c3194ec8e35ff0f3b2d22e8c390b40dc0 MD5sum: 287f7eb76c7a32c344c18686bc759c06 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package. Package: python3-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python3-setuptools-scm_1.8.0-1~bpo8+1~nd+1_all.deb Size: 11504 SHA256: 18ecb5022d4c925922743c9be93a67d14d46299c444fc16cd44886a062f714b9 SHA1: f3863998d2b04d2a9c86e558aedd803eb211f799 MD5sum: b02bc4c26bc7a1acddbc97da381c5cf9 Description: blessed package to manage your versions by scm tags for Python 3 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 3. Package: python3-six Source: six Version: 1.9.0-3~bpo8+1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.9.0-3~bpo8+1~nd+1_all.deb Size: 13864 SHA256: 04e34cf5aa7ccee58a9ad967bdba4aea42566f635f61cdf6210cefd6a835d984 SHA1: ba8c5074dad26145c72e90ded5311486da064efb MD5sum: bfaaee600a2763c6130dfbde60a41e0f Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six. Package: python3-skimage Source: skimage Version: 0.10.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15115 Depends: neurodebian-popularity-contest, libfreeimage3, python3-numpy, python3-scipy (>= 0.10), python3-six (>= 1.3.0), python3-skimage-lib (>= 0.10.1-1~nd+1), python3:any (>= 3.3.2-2~) Recommends: python3-imaging, python3-matplotlib (>= 1.0), python3-nose, python3-pil Suggests: python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage_0.10.1-1~nd+1_all.deb Size: 11915866 SHA256: cd53b6ec9524fc904a752a41f025002dff4be06130bd005bef04287cfcd8cf84 SHA1: 158f4ec9919b03f9c936cfa6f281c86e97091041 MD5sum: 3ad25fc688fff35b82afb80ef9667383 Description: Python 3 modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 3 module. Package: python3-skimage-lib Source: skimage Version: 0.10.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6883 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libc6 (>= 2.4) Recommends: python3-skimage Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage-lib_0.10.1-1~nd+1_i386.deb Size: 905700 SHA256: 27be3eefe96e8c1754b96646fa70e371b1591252f34764203a9de515b9d6fc52 SHA1: 4bc5d6a4a4dbed47658f1c4ffee0680e4f152318 MD5sum: 95b2fb523aa05ad91dda93474ddf14c2 Description: Optimized low-level algorithms for Python 3 scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 3 libraries. Package: python3-sklearn Source: scikit-learn Version: 0.17.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5282 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.17.1-1~nd+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.17.1-1~nd+1_all.deb Size: 1223172 SHA256: 1ef955f2d9de13e8aefea019df48cb1c22cee07e7b77f21be1f8ed5cdea9ef1a SHA1: c717ae07c08d49c209d20157a7508cf0a297986c MD5sum: d72eb77e7a340eb54b3a39b7fc6d6d6a Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.17.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9260 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.4~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.17.1-1~nd+1_i386.deb Size: 1402252 SHA256: 403116bd7f4d39d4c27f60dc08690f7bd500084bcd5651c554e0651723d61006 SHA1: 080ced0a4f57b8a4c2b4e2577f347432a1e6a0d5 MD5sum: 9c64c7b7933df4f749582382cbe130e0 Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. 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If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd+1_all.deb Size: 117236 SHA256: c18c9383781a8fc99ff2f1cd1b24c00c37c27553b34cf97bc8386a80e1063a8a SHA1: e5bb14868d4e0ccad143c02bc7f8f791491c74ea MD5sum: da5e186dfba00386b91466258fee5c75 Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-tables Source: pytables Version: 3.2.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2791 Depends: neurodebian-popularity-contest, python3-numpy, python3-numexpr, python3:any (>= 3.3.2-2~), python3-tables-lib (>= 3.2.1-1~nd+1), python3-tables-lib (<< 3.2.1-1~nd+1.1~), python-tables-data (= 3.2.1-1~nd+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables_3.2.1-1~nd+1_all.deb Size: 334588 SHA256: 852f700742c25b047d53d4e8b6808ef62ed049dab623c996ac54cbcb53ae0a74 SHA1: b45f903684c952b6e6a622786be10b1291903da6 MD5sum: 5a897064e93c5b23d1edabb8f7aea48b Description: hierarchical database for Python3 based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 3 version of the package. Package: python3-tables-dbg Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1683 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3-dbg (<< 3.5), python3-dbg (>= 3.4~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.1-1~nd+1), python3-tables-lib (= 3.2.1-1~nd+1), python3-numpy-dbg, python3-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python3-tables-dbg_3.2.1-1~nd+1_i386.deb Size: 456144 SHA256: 9884e03bc4d206d6383d78581255005103e483354573d19056dbd276dd3be831 SHA1: c9d221adf4dc7e9035fac2095592c32bd725648b MD5sum: 2e2192cc7660e206cfa0a45856dd28b4 Description: hierarchical database for Python 3 based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-tables-lib Source: pytables Version: 3.2.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1347 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libbz2-1.0, libc6 (>= 2.4), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4) Recommends: python3-tables (= 3.2.1-1~nd+1) Breaks: python3-tables (<< 3.0.0-3) Replaces: python3-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables-lib_3.2.1-1~nd+1_i386.deb Size: 358674 SHA256: 0aef375e069ce92fd1fa3b7fa1e9e4dfe76c7280e69e79982b3cfb5f16930985 SHA1: 3c50f457d863f268ce827e2959f39a8d1628c42d MD5sum: ac73b0de9f30e68fe6603c107b6a8a57 Description: hierarchical database for Python3 based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 interpreter. Package: python3-tqdm Source: tqdm Version: 4.4.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python3-tqdm_4.4.1-1~nd+1_all.deb Size: 35578 SHA256: 20841b07903a47e58de945f91493665d0f4f4bc6f24a3367683454fd1e8e8a80 SHA1: 971c2021a1b3141d2db92bff81406f74e19a8bfc MD5sum: a2d3e272177312d2b7b2e0668b121524 Description: fast, extensible progress bar for Python 3 and CLI tool tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 3 version of tqdm and its command-line tool. Package: python3-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python3-six (>= 1.5), python3-wrapt, python3-yaml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python3-vcr_1.7.3-1.0.1~nd+1_all.deb Size: 43584 SHA256: 03bf642db456d3b20d1126ed18400c9e268ae3e23f4016f0e007864528343114 SHA1: 8a45187f301eb74e3b892703c43e0216b9cd2581 MD5sum: aa1eb1d97032c236712fa2c291c3e7ef Description: record and replay HTML interactions (Python3 library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 3. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-six (>= 1.6.1), python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd+1_all.deb Size: 14200 SHA256: 3a79d12f832d860e8feada19fd1443aec07c08d35e6df6b83e0d5a194d085789 SHA1: f6171c53aab3128a336c59d832f146ea1e10cf65 MD5sum: 6cebff033f0e6809d210f716e0b5bf83 Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd+1_all.deb Size: 165542 SHA256: 36285a90f4bee14c4e98680c74ebdaa3bee13755c8f55fbbb161933926a38a20 SHA1: a3c8437f41a567a54d24841aa7111b15141547f8 MD5sum: 2e29700478a2d7c595cff6aa001cfd7a Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: qnifti2dicom Source: nifti2dicom Version: 0.4.11-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3134 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgdcm2.6, libinsighttoolkit4.9, libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libvtk6.2, libvtk6.2-qt, nifti2dicom (= 0.4.11-1~nd+1), nifti2dicom-data (= 0.4.11-1~nd+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.11-1~nd+1_i386.deb Size: 461572 SHA256: 610c0b37a59db6c152e8c75020c6e396d7275619b53af718fff301fda48ce87d SHA1: bcc5f495eb0a500adac81db4d2624af8d08bd9d9 MD5sum: 7e6531bb370e5ee33ef3739289915739 Description: convert 3D medical images to DICOM 2D series (gui) Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package contains the Qt4 GUI. Package: remake Version: 3.82+dbg0.9+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 285 Depends: neurodebian-popularity-contest, libc6 (>= 2.11), libreadline6 (>= 6.0) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: devel Filename: pool/main/r/remake/remake_3.82+dbg0.9+dfsg-1~nd+1_i386.deb Size: 174210 SHA256: 4a13037c978e6d8a66d5e55ab1c44e517a231c8b4df18186cca084eb83b5bcce SHA1: 0c6436d895b1e4939164e6b0748ca71b6d865bbc MD5sum: f8cddee2e4598f1bbb7c36d14d3e919c Description: GNU make fork with improved error reporting and debugging Modernized version of GNU make utility that adds improved error reporting, the ability to trace execution in a comprehensible way, and a debugger. Some of the features of the debugger are: * see the target call stack * set breakpoints on targets * show and set variables * execute arbitrary "make" code * issue shell commands while stopped in the middle of execution * inspect target descriptions * write a file with the commands of the target expanded Package: sigviewer Version: 0.5.1+svn556-3~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 945 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.6) Homepage: http://sigviewer.sourceforge.net Priority: extra Section: science Filename: pool/main/s/sigviewer/sigviewer_0.5.1+svn556-3~nd+1_i386.deb Size: 339134 SHA256: cd0a6887ae02d9dc37978d86297918a39010ea202f2d8a4b2faaceaf67da0985 SHA1: eb605970d3ea62567e04bc6d74c88e4fbf9f9f9e MD5sum: d9ebfe0b56f2410697f8a88f2ed3a005 Description: GUI viewer for biosignals such as EEG, EMG, and ECG SigViewer is a viewing and scoring software for biomedical signal data. It relies on biosig4c++ library which supports a number of data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . Besides displaying biosignals, SigViewer supports creating annotations to select artifacts or specific events. Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 18626 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd+1_all.deb Size: 10737524 SHA256: b6a893c9b80b40421f5d12d9a135bdc12fb17f3fab59e0106ef1fc24ad3e77af SHA1: 235814d62d21157760fbae3cf4401cc6d48cf555 MD5sum: 33cd04a3593f6f216ac68a3fc0ea82a4 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.5236~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73046 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd+1_all.deb Size: 52180218 SHA256: 92b31d00b8ee13b7bcdf249cff509ec988cc2fc0703e301eed662571b89135f3 SHA1: 6540ca3feacd1d7efd53733b78fde41c7defb2c2 MD5sum: 973ce7224b20331a4ccfde26eba8acbe Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.5236~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9273 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd+1_all.deb Size: 8991072 SHA256: a10f23addd5b16acad8feabb200ab8fda604f9ea177e7c32053ab0c60a768d9b SHA1: 65a715c185007eaccc71513dcad03da43d23cbdc MD5sum: 890e9a307f742f1573165ce80a18032f Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: spyder Version: 2.2.5+dfsg-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, python:any, python-spyderlib (= 2.2.5+dfsg-1~nd+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd+1_all.deb Size: 52982 SHA256: eddafac432df7d273ddf59837b6ff169aa3ec1776348d59dec5add709bdab935 SHA1: fb37bcc12d9ed07c06c79368f8da3b195323ecaf MD5sum: 96c4abda1f6c31f93c1b3b88f4771106 Description: python IDE for scientists Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software Package: spykeviewer Version: 0.4.4-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1962 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.4-1~nd+1_all.deb Size: 1291144 SHA256: 18e37d83ec7009a425bd2e555c51862c1be29603896bade502678c236dba81e8 SHA1: 379613ed9f79ab4816a97724522fd8e3d446518e MD5sum: 14c2106d870bad90b4c86bc5971f9eff Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: stabilitycalc Version: 0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd+1_all.deb Size: 28590 SHA256: c50f821d6eb4b0afe501c575de1b66aa196ac7745f412ca7c3064eed3f4d3c43 SHA1: 8002f08bea6021c1fa12d9e2de8b2e2482fcd799 MD5sum: aa37bec3c54a92373aeb2871266f1e77 Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.6, 2.7 Package: stimfit Version: 0.15.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3068 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3.0.6, libfftw3-double3, libgcc1 (>= 1:3.0), libhdf5-10, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libwxbase3.0-0v5 (>= 3.0.2+dfsg), libwxgtk3.0-0v5 (>= 3.0.2+dfsg), zlib1g (>= 1:1.1.4), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python2.7, python:any (>= 2.6.6-7~), libsuitesparse-dev, zlib1g-dev, python-wxgtk3.0 | python-wxgtk2.8 (>= 2.8.9), python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.15.2-1~nd+1_i386.deb Size: 940154 SHA256: 36ca4a2974f5dd574ef01b598a4a24b90237ef350b6763c365d0b7fe9e8d2d59 SHA1: 1670512e14f2fa1a133a3bba977528d2268bda6b MD5sum: e07eec7314d322361f178bb3612103b1 Description: Program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.15.2-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23608 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.15.2-1~nd+1_i386.deb Size: 6173922 SHA256: 7b25ccdd93caf5affb1e6343b83c33051f55899dcf3269bf1a3f0d96c2c31d58 SHA1: 585e85e951d9558b186bc5802185245b7148c554 MD5sum: b565daca01358585a30c6b2a129aa9a3 Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. This package contains the debug symbols for Stimfit. Package: svgtune Version: 0.1.0-2 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 64 Depends: python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-2_all.deb Size: 6680 SHA256: 69b4df1e0b4c247673265c7f5bb2b2ffe2209d783617bf7f6eadce86633f80e1 SHA1: bec339e4453c35a05a616deef6769a6f2ad2d00d MD5sum: ef6797498477a73f930ad9bc0db3ba73 Description: tool to generate a set of .svg files out of a single .svg file svgtune is just a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: tcl-vtk Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17913 Depends: neurodebian-popularity-contest, libvtk5.8 (= 5.8.0-7+b0~nd+1), libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libmysqlclient16 (>= 5.1.50-1), libpq5, libstdc++6 (>= 4.1.1), libx11-6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), zlib1g (>= 1:1.1.4) Suggests: vtk-examples, vtk-doc Replaces: vtk, vtk-tcl Homepage: http://www.vtk.org/ Priority: optional Section: interpreters Filename: pool/main/v/vtk/tcl-vtk_5.8.0-7+b0~nd+1_i386.deb Size: 5575470 SHA256: b91049856a1d2fec4c35b156cb750536d5725af00916f296a9c3d7421d46cd0f SHA1: 4dd55b05fd63f7330a00febeae38c87cad99ec3e MD5sum: df00ae9d830b44c472bef5163b2ac57b Description: Tcl bindings for VTK The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This provides the shared libraries and executable that enable one to use VTK from Tcl/Tk scripts. You will need Tcl/Tk and vtk installed to use this. Package: testkraut Version: 0.0.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 358 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, libjs-underscore, libjs-jquery, python-argparse Recommends: strace, python-scipy, python-colorama, python-apt Homepage: https://github.com/neurodebian/testkraut Priority: extra Section: python Filename: pool/main/t/testkraut/testkraut_0.0.1-1~nd+1_all.deb Size: 100016 SHA256: 5ea3d436c473902040c138cb6100770fc3d0969e891ce84eabf2f644ee367a5a SHA1: b29570908455d37b7397bd9eed303b13e59b090b MD5sum: eafa9781d2a05681ca03188015f96302 Description: test and evaluate heterogeneous data processing pipelines This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them. . In a nutshell testkraut helps to facilitate statistical analysis of test results. In particular, it focuses on two main scenarios: . * Comparing results of a single (test) implementation across different or changing computational environments (think: different operating systems, different hardware, or the same machine before an after a software upgrade). * Comparing results of different (test) implementations generating similar output from identical input (think: performance of various signal detection algorithms). . While such things can be done using other available tools as well, testkraut aims to provide a lightweight, yet comprehensive description of a test run. Such a description allows for decoupling test result generation and analysis – opening up the opportunity to “crowd-source” software testing efforts, and aggregate results beyond the scope of a single project, lab, company, or site. Python-Version: 2.6, 2.7 Package: tigervnc-common Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 168 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6 (>= 2:1.4.99.1), libxext6, zlib1g (>= 1:1.1.4) Conflicts: tigervnc-server (<< 1.1.90), tigervnc-viewer (<< 1.1.90) Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-common_1.5.0-1~nd+1_i386.deb Size: 62692 SHA256: 74b729a0ff0883c2454898c11c7afee0c7d3bc90bb384831175eeba398e304c4 SHA1: 45c46f8df121e4cda291ac29f4daa56456ccf46d MD5sum: 47839fd7201d73a7dc7dd7af0eb2fc4a Description: Virtual network computing; Common software needed by clients and servers VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides the common software for both client and server. Package: tigervnc-scraping-server Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 503 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxdamage1 (>= 1:1.1), libxext6, libxtst6, zlib1g (>= 1:1.1.4) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-scraping-server_1.5.0-1~nd+1_i386.deb Size: 186428 SHA256: 81dbfecd8bd300e4046a660d58e970bac7a46e26204c1162eddc88672890eaab SHA1: 25be2ce4148672bc5452ee59ccccbdb70d53c6df MD5sum: 027de31ae311c920f9f0acba70c698a0 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a vncserver which uses screen scraping of an already running X server to provide its VNC desktop. The VNC desktop can be viewed by any vncviewer even on other operating systems. . Note: If you only want to scrap your local X11 server, you should consider the tigervnc-xorg-extension package. This package provides the vnc extension for your local X11 server. The usage of this extension is more efficient than a scraping vnc server. Package: tigervnc-standalone-server Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2732 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.17), libgcc1 (>= 1:4.1.1), libgcrypt20 (>= 1.6.1), libgl1-mesa-glx | libgl1, libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libpixman-1-0 (>= 0.30.0), libselinux1 (>= 2.0.82), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxau6, libxdmcp6, libxfont1 (>= 1:1.4.2), libxshmfence1, zlib1g (>= 1:1.1.4), perl Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-standalone-server_1.5.0-1~nd+1_i386.deb Size: 1017020 SHA256: 423b8786593429c942358bb2e84b3916eb7ea81e18ca9a1d4619b5d0a63a9598 SHA1: 2eab77a0bd213688ee4670e9cbd62537b352d238 MD5sum: 38a8a2c8b3f071368fde3489bcd64e63 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a standalone vncserver to which X clients can connect. The server generates a display that can be viewed with a vncviewer. . Note: This server does not need a display. You need a vncviewer to see something. This viewer may also be on a computer running other operating systems. Package: tigervnc-viewer Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), tigervnc-common, libc6 (>= 2.15), libfltk-images1.3 (>= 1.3.3), libfltk1.3 (>= 1.3.3), libfontconfig1 (>= 2.11), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxcursor1 (>> 1.1.2), libxext6, libxfixes3, libxft2 (>> 2.1.1), libxinerama1, libxrender1, zlib1g (>= 1:1.1.4) Provides: vnc-viewer Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-viewer_1.5.0-1~nd+1_i386.deb Size: 160002 SHA256: d4131cdd68e5c22d1516be6dac79c91a32daac9a884dfb11828c2a6db6ace605 SHA1: c5f4b319dfd205edaf8463e38b75dce52d14a6e9 MD5sum: 600ef5c743d7fee3d34ec7f4755d2b70 Description: Virtual network computing client software for X VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides a vncclient for X, with this you can connect to a vncserver somewhere in the network and display its content in a window. There are vncservers available for other operating systems. Package: tigervnc-xorg-extension Source: tigervnc Version: 1.5.0-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 573 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server, vnc-xorg-extension Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-xorg-extension_1.5.0-1~nd+1_i386.deb Size: 207206 SHA256: ef0a818401c56ea8aa14ba01d31f08ebb623031f631479fad3a5ac66c1d71bc3 SHA1: 0f628f6246b0bc49b2a818c6a988ba346537f901 MD5sum: c9be1f29dce6dcefd7bef6354cb23768 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It contains an X server connector so clients can connect to your local X desktop directly. Package: ubuntu-keyring Version: 2010.+09.30~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd+1_all.deb Size: 11788 SHA256: 87608e20a998b8cb9799d0613e97f0b4f592a26c1433b383ddd813aa69365155 SHA1: e943e925a1106701b6e0c160fd9c06a04490355d MD5sum: 24b363866e0f915e14ecd5ed541ee822 Description: GnuPG keys of the Ubuntu archive The Ubuntu project digitally signs its Release files. This package contains the archive keys used for that. Package: utopia-documents Version: 2.4.4-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18844 Depends: neurodebian-popularity-contest, libboost-python1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.11), libexpat1 (>= 2.0.1), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglew1.10 (>= 1.10.0), libglu1-mesa | libglu1, libice6 (>= 1:1.0.0), libpcre3 (>= 8.10), libpcrecpp0 (>= 7.7), libpython2.7 (>= 2.7), libqglviewer2, libqjson0 (>= 0.7.1), libqt4-network (>= 4:4.7.0~beta1), libqt4-opengl (>= 4:4.5.3), libqt4-script (>= 4:4.5.3), libqt4-svg (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqt4-xmlpatterns (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.1.0~2011week13), libraptor1 (>= 1.4.21-3), libsm6, libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.9), libx11-6, libxext6, zlib1g (>= 1:1.1.4), python:any (>= 2.6.6-7~), python2.7, python-imaging, python-lxml (<< 3.0.0) | python-cssselect, python-lxml, xdg-utils, python-suds Homepage: http://utopiadocs.com Priority: optional Section: science Filename: pool/main/u/utopia-documents/utopia-documents_2.4.4-1~nd+1_i386.deb Size: 5313854 SHA256: 353651074c04df31bc33960528da5fd6692b9c86a24db6f9593a7c47259f6501 SHA1: f632c56134135c7dcd6b32ccefbf88a75b724107 MD5sum: ab4ef988a89a81fbb5d6e919ce2721cc Description: PDF reader that displays interactive annotations on scientific articles. Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. It makes it easy to explore an article's content and claims, and investigate other recent articles that discuss the same or similar topics. . Get immediate access to an article's metadata and browse the relationship it has with the world at large. Generate a formatted citation for use in your own work, follow bibliographic links to cited articles, or get a document's related data at the click of a button. . Various extensions provide links to blogs, online data sources and to social media sites so you can see what other researchers have been saying about not only the article you're reading but its subject matter too. Package: utopia-documents-dbg Source: utopia-documents Version: 2.4.4-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44276 Depends: neurodebian-popularity-contest, utopia-documents (= 2.4.4-1~nd+1) Homepage: http://utopiadocs.com Priority: extra Section: debug Filename: pool/main/u/utopia-documents/utopia-documents-dbg_2.4.4-1~nd+1_i386.deb Size: 43347942 SHA256: c3f7ff81695609d04c06a88a27024f3e12d5c0f8dd0c42d2695ed24681b6ae70 SHA1: 02221c47c08f64f203663f019dc1b004d6b4cfbe MD5sum: b1d2a435ad9319391f334f09e711dbbd Description: debugging symbols for utopia-documents Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. . This package contains the debugging symbols for utopia-documents. Package: via-bin Source: via Version: 2.0.4-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 500 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libpng12-0 (>= 1.2.13-4), libsm6, libvia2, libx11-6, libxext6, libxmu6, libxt6 Recommends: libvia-doc Conflicts: via, via-utils Replaces: via-utils Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: science Filename: pool/main/v/via/via-bin_2.0.4-2~nd+1_i386.deb Size: 169598 SHA256: a537ab088a763c7091ec70780d923a9212944a82be34f32be21e4158a7c85686 SHA1: e15a22a678bc20a37ba955f777b3a97f8843b14b MD5sum: 4664ba6b226a2254dc1e09666a526447 Description: tools for volumetric image analysis VIA is a volumetric image analysis suite for functional and structural (medical) images. The suite consists of different tools ranging from simple data handling over viewers to complex image transformation. . All tools operate on data in VISTA format. The package contains several converters from e.g. PNG, PGM or PNM to this data format and back. Package: vowpal-wabbit Version: 7.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, libboost-program-options1.49.0 (>= 1.49.0-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), libvw0 (= 7.3-1~nd+1), zlib1g (>= 1:1.1.4) Suggests: vowpal-wabbit-doc Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_7.3-1~nd+1_i386.deb Size: 17990 SHA256: c5acd41f7f1afc05c3a72466523104187d3d46d60197253bc600c6a288a59dcf SHA1: c40558d9997669ab79c84cd75b584e57c85adaff MD5sum: e577b2bec05cf84040ddb26cc421235c Description: fast and scalable online machine learning algorithm Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing Package: vowpal-wabbit-dbg Source: vowpal-wabbit Version: 7.3-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6297 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 7.3-1~nd+1) Homepage: http://hunch.net/~vw/ Priority: extra Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_7.3-1~nd+1_i386.deb Size: 1614618 SHA256: 3771c4e5be55061dd7ee4d50fc59728e48faa2d6396202f3b668096fe8a86964 SHA1: 0c4b159cfd2580e510d579d7fc2003c284bb5143 MD5sum: 730bb694c7b9286866354a837eade27b Description: fast and scalable online machine learning algorithm - debug files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains debug symbols for the binaries shipped by vowpal-wabbit packages. Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 7.3-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 70918 Depends: neurodebian-popularity-contest Recommends: vowpal-wabbit Homepage: http://hunch.net/~vw/ Priority: optional Section: doc Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_7.3-1~nd+1_all.deb Size: 46989872 SHA256: 451a2f7f540a9cf2f8c276fbb575156845d0cd996733c38a7e11c5da17ac8ce8 SHA1: 18bac3730e0836a77d5f83cb380856e65a1e873b MD5sum: 87ceda4a59e22e74b68c7758551cb4b2 Description: fast and scalable online machine learning algorithm - documentation Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains examples (tests) for vowpal-wabbit. Package: voxbo Version: 1.8.5~svn1246-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9696 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libpng12-0 (>= 1.2.13-4), libqt4-network (>= 4:4.5.3), libqt4-qt3support (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.4.0), libx11-6, libxext6, libxi6, libxrender1, zlib1g (>= 1:1.1.4) Suggests: mni-colin27-nifti, matlab-spm8 Homepage: http://www.voxbo.org Priority: extra Section: science Filename: pool/main/v/voxbo/voxbo_1.8.5~svn1246-1~nd+1_i386.deb Size: 3704722 SHA256: 1b83555dd860a6c8f91226596b5dee4b754abfaa3d06e86f308d07b58f2fe5dd SHA1: 2f7d6d96920560285b9300af6bae44fa589835fb MD5sum: d4b2ea047ade4ef198d847c988e05900 Description: processing, statistical analysis, and display of brain imaging data This is a toolkit for analysis of functional neuroimaging (chiefly fMRI) experiments and voxel-based lesion-behavior mapping. VoxBo supports the modified GLM (for autocorrelated data), as well as the standard GLM for non-autocorrelated data. The toolkit is designed to be interoperable with AFNI, FSL, SPM and others. Package: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 327 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd+1), libvrpnserver0 (= 07.30+dfsg-1~nd+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd+1_i386.deb Size: 111144 SHA256: a8c8f46684986912e967d71a8903878772d02fc38bad17b434a4c707b58f7d91 SHA1: 323fcc8f7386a034a3afc18d339d710fc6506c83 MD5sum: 2f41fc579cb05048e207caf0cedbb012 Description: Virtual Reality Peripheral Network (executables) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the executables like the VRPN server. Package: vrpn-dbg Source: vrpn Version: 07.30+dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4203 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd+1), libvrpnserver0 (= 07.30+dfsg-1~nd+1), vrpn (= 07.30+dfsg-1~nd+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd+1_i386.deb Size: 1635422 SHA256: e7edefd563d65b5daf9bf1f406010cbb7a1063e91c4151e3fdaa9f9104db0ac7 SHA1: 677889c91b5c68fff6bfcda125ee4f55100b05f5 MD5sum: 999cf2fa79db98deedfe0dce90ddb089 Description: Virtual Reality Peripheral Network (debugging symbols) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the debugging symbols of the libraries and executables. Package: vtk-dicom-tools Source: vtk-dicom Version: 0.5.5-2~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 260 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libvtk-dicom0.5, libvtk5.8 Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: utils Filename: pool/main/v/vtk-dicom/vtk-dicom-tools_0.5.5-2~nd+1_i386.deb Size: 73248 SHA256: d9174bcf24183c235ead3185cf9b31854d7a8f1bdf932b78bfef418e523df7c7 SHA1: 791a877f06db9a86991b2d908b1b31425ba93a81 MD5sum: 9d8af691ceb57f38d6523504acea5197 Description: DICOM for VTK - tools This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Command line tools Package: vtk-doc Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 342007 Depends: neurodebian-popularity-contest, doc-base Suggests: libvtk5-dev, vtk-examples, vtkdata Homepage: http://www.vtk.org/ Priority: optional Section: doc Filename: pool/main/v/vtk/vtk-doc_5.8.0-7+b0~nd+1_all.deb Size: 66710216 SHA256: ef2921e37681f7364119b79457483cd3ca7da8cd063a96438cffe23aeba52938 SHA1: abc4b1ccf35fd6c0cc20f67836fb7ffcbfc69161 MD5sum: b7ef2d7972fe60ad7ce2f891faac4205 Description: VTK class reference documentation The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package contains exhaustive HTML documentation for the all the documented VTK C++ classes. The documentation was generated using doxygen and some excellent perl scripts from Sebastien Barre et. al. Please read the README.docs in /usr/share/doc/vtk-doc/ for details. The documentation is available under /usr/share/doc/vtk/html. Package: vtk-examples Source: vtk Version: 5.8.0-7+b0~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2521 Depends: neurodebian-popularity-contest Suggests: libvtk5-dev, tcl-vtk, python-vtk, vtk-doc, python, tclsh, libqt4-dev Homepage: http://www.vtk.org/ Priority: optional Section: graphics Filename: pool/main/v/vtk/vtk-examples_5.8.0-7+b0~nd+1_all.deb Size: 578892 SHA256: fab181213376a1077411077e48a5640af76ceb2868302e2e03b18e4e6a0859fd SHA1: e0087beef829cbfd4d09abfd52a4e526b2b11963 MD5sum: efe0f5b35bccb7b5f9d251a25970a0ac Description: C++, Tcl and Python example programs/scripts for VTK The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization. . This package contains examples from the VTK source. To compile the C++ examples you will need to install the vtk-dev package as well. Some of them require the libqt4-dev package. . The Python and Tcl examples can be run with the corresponding packages (python-vtk, tcl-vtk). Package: xmhtml1 Source: xmhtml Version: 1.1.7-17~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 473 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libc6 (>= 2.7), libjpeg8 (>= 8c), libpng12-0 (>= 1.2.13-4), libxpm4 Priority: optional Section: libs Filename: pool/main/x/xmhtml/xmhtml1_1.1.7-17~nd+1_i386.deb Size: 249300 SHA256: 07785afb338a374fb104a9527e1366a51097dd84226d8760d0b3067352dcff5b SHA1: 351eadd08e356dad0994064856a33c2193eb0caa MD5sum: 7a2e0f81ebb88c853c646ec36907edbc Description: A Motif widget for display HTML 3.2 XmHTML is a high performance Motif Widget capable of displaying HTML 3.2 confirming text. Graphics support, lesstif compatibility and extensive documentation are amongst its many features. . This package provides the runtime shared library. The xmhtml-dev package provides the header files, and the static library. Package: xmhtml1-dev Source: xmhtml Version: 1.1.7-17~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 830 Depends: neurodebian-popularity-contest, xmhtml1, lesstif2-dev | libmotif-dev, libc6-dev Conflicts: xmhtml-dev Provides: xmhtml-dev Priority: optional Section: devel Filename: pool/main/x/xmhtml/xmhtml1-dev_1.1.7-17~nd+1_i386.deb Size: 341364 SHA256: 897521ec290e4a3fcdb3f4ab929d0db75a655bc7e49660a5080bf26ff5aa39a0 SHA1: e5e419a252e6d05507ca4a3e3b7bb710b99e93a2 MD5sum: 2a5ee19001f219e2304006a5786d3492 Description: A Motif widget for display HTML 3.2 XmHTML is a high performance Motif Widget capable of displaying HTML 3.2 confirming text. Graphics support, lesstif compatibility and extensive documentation are amongst its many features. . This is the development kit, containing static libraries and header files necessary to build programs that use xmhtml. The runtime library is provided by the xmhtml package. Package: xppaut Version: 6.11b+1.dfsg-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5804 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd+1_i386.deb Size: 4142698 SHA256: d00b855c27958720f61104c2defb4d7cc25fa945956753613b3ea2273bc22720 SHA1: cf1fc86aa5d60b9819297995cb0509e882620ee2 MD5sum: 635083e62d1bfb21f685de7833b1b93f Description: Phase Plane Plus Auto: Solves many kinds of equations XPPAUT is a tool for solving * differential equations, * difference equations, * delay equations, * functional equations, * boundary value problems, and * stochastic equations. . The code brings together a number of useful algorithms and is extremely portable. All the graphics and interface are written completely in Xlib which explains the somewhat idiosyncratic and primitive widgets interface.