Package: aghermann Version: 1.1.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1631 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.11), 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 (>= 3.5.0), libgomp1 (>= 4.9), libgsl2, libgtk-3-0 (>= 3.21.5), libitpp8v5, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpcre2-8-0, libsamplerate0 (>= 0.1.7), libstdc++6 (>= 5.2), 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_1.1.2-1~nd90+1_i386.deb Size: 571766 SHA256: b2ceee9a93544473166a15349e7a9086843b4223a69f91467baabebcac5a1632 SHA1: f5b1d7005eccef990cb1f1a4b019831843ec226f MD5sum: eab6bb99823b566b5cd4fd37976b6097 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: 1.1.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11552 Depends: aghermann (= 1.1.2-1~nd90+1) Homepage: http://johnhommer.com/academic/code/aghermann Priority: extra Section: debug Filename: pool/main/a/aghermann/aghermann-dbgsym_1.1.2-1~nd90+1_i386.deb Size: 11570172 SHA256: 1cae02257b2057c3d2be3ec3e2593c0231b910ebb32cb8a78660016ef3d567d7 SHA1: 85153242f81b12455f7077a50205c6de681a7cc4 MD5sum: b622e6566ff2c50f4b2edaaa7c53f0a6 Description: Debug symbols for aghermann Auto-Built-Package: debug-symbols Build-Ids: 1690d8df37725270e56960e2d3e93d18d10932b0 28ad6733868e32bc541d33a82574b584d8d32857 2e2336a98f57ada01b55295fbd3b3cd31612a8c4 46f26f68a9a2e723a23b8cd53b0aa1b2a264f5e7 4e23d1bfd1ef15e687533c35f0c89446127e6c16 92c5ef20d285b6929ff433b661c48058b4eae0c6 b466a61f85c755107d85ad296c716df4046fc672 cc0fe0d7b91b50ecf3c472d12cb5f81c637cdffe Package: ants Version: 2.1.0+git715-ge56f961-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 278527 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.0), libinsighttoolkit4.10, 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+git715-ge56f961-1~nd90+1_i386.deb Size: 36860652 SHA256: 708a19768a272c18a1ff2f5092ee8be2af3c3b4f763413b3d51e9e16b6903e35 SHA1: 1847c316b4eb095c8cd89bfe6f53e0082623c82a MD5sum: 60bc38cf6022fe30f21881cd2f52f9f5 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. 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SHA1: 773936e0d736d5819cd688087d93f4e110652c10 MD5sum: 023d79d882ecaed97b5121b86834d8b3 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 704 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~nd80+1+nd90+1_i386.deb Size: 247990 SHA256: 9732fca7f7a76ef726c9723ffbcabaf5ecb53a7ee395eaae9c11f902ae1559e1 SHA1: 8305b4e7bf104fd01f581e811e7d2d90dbab833d MD5sum: 47b0f3b794b10d9f7676428a652e66cf 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: 0.25.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv Homepage: http://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.25.0-1~nd90+1_all.deb Size: 75900 SHA256: 4384f7d358b7daad7cec97311f0075f409d7cc66b80cb175b18f66e14d86cef6 SHA1: 0749bc9537745a477738e25c10062eac15eba2d0 MD5sum: 356103d4adf0f763a279ed2deb8eaaaf Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: btrfs-tools Version: 4.0-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3587 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_4.0-2~nd90+1_i386.deb Size: 507396 SHA256: c9e048d10e57fe05d9c10ec1021bcae5c384391b7e164cb4df70b170014160a5 SHA1: 036cd6521f935ac26a226f95baf3be7d4fb5448d MD5sum: 3180aead021724e9d6a0cf40070928c5 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. 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Package: cde Version: 0.1+git9-g551e54d-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 895 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~nd80+1+nd90+1_i386.deb Size: 150432 SHA256: 8552ef745da8b3cb3e20d2666aad36242997acf6e463835deef4b1bbcd1335ab SHA1: 4340f69d196bbd423a2e86dd31b6c45b385e7360 MD5sum: 5523095bdf1c10feb9ac86359a04e7a1 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 166 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~nd70+1+nd90+1_i386.deb Size: 55546 SHA256: 41d8ebcfcb5f29b3bc38243da39ac6eea7d33ca49b5f41575d5b8f18d490a286 SHA1: cf01b8f436385cfb01ff49b7d8c74a2911944fe0 MD5sum: 8479e90cc65a1edca5a8ebc92f26cd5b 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: 3.3.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24180 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk8, libfftw3-double3, libgcc1 (>= 1:4.2), libgomp1 (>= 4.9), libmxml1, libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 5.2), 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_3.3.1-1~nd90+1_i386.deb Size: 3780968 SHA256: fb32f69e56154fe860d8dd11acabbdd0ffbfca8465527ec84caf737dffc50e2f SHA1: b25a42c53de5dd2a2d2020dace9dca1229f62dcf MD5sum: 01c6dc7098f3b459cb5185a3f381fd4c 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). 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SHA256: 017e1aadcf558dabc7026cdfd4c2a3890f1348d63eefee59ae14db36ecd617c2 SHA1: c58c4a8ee3a3fa5e6f35682a6accd2450de2322e MD5sum: a403d288877c16861d59bbcede294d01 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: 2.1.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 123 Depends: cnrun-tools (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/cnrun-tools-dbgsym_2.1.0-1~nd90+1_i386.deb Size: 100178 SHA256: 041868e008a6e0f86b3f79a4c505a6afc5cd65ed9db8f828bcca91eefd4ebc7e SHA1: 3bbff5f21e3ec54888365bc1f6185ff668de2902 MD5sum: f185c3515b564ede843f8eef7faf7aca Description: Debug symbols for cnrun-tools Auto-Built-Package: debug-symbols Build-Ids: 647c84cb10cec6d694b99e7cc86013c9a550c7f1 a0dc8bac2fd38734d3cfa8f1f4e6eb6476e550aa Package: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.4.9~dfsg.1-2~nd90+1_all.deb Size: 16196 SHA256: 0acf0be9f1de9ca3b6d0bd4185b7595fa47085caf72bd76e26ebcf620878e29d SHA1: 0bc63d7d7d80337f5ffc9cf6f7fadb44d7d23f23 MD5sum: 77515d9e0485baa39675585598391a92 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". 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Package: condor-doc Source: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.4.9~dfsg.1-2~nd90+1_all.deb Size: 16212 SHA256: 822037776d6a593d581587de00dc40fcbe57b0a09f3f42a2c0afe3e060ce94b2 SHA1: 1669aaf388b1037a7e99f25b62da5786b55b49d4 MD5sum: 048eb0710fdcf38c8238b63e8ba4f31d 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: 1.2.3-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 51002 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), 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_1.2.3-1~nd90+1_i386.deb Size: 25160484 SHA256: 13182ef61df4a2202a82b7f54239d507636ade4f492fe9d396e8066943e56cd7 SHA1: 73d49d73af34196187fac2d607627f6546901311 MD5sum: eec8934f23e67410795ccbd8f6da235b 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: 1.2.3-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 126715 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.2.3-1~nd90+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.2.3-1~nd90+1_i386.deb Size: 125111470 SHA256: aedb98277405565176aabc66c8b37729e158798732706316cf92265eb7c5e3f2 SHA1: a953524404faac8d95ee1bfd7d8c7e44c60fdb3f MD5sum: 762e1105298d037e5ccae8949f26f11e 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: 454fdbad83a81d4fd1f86d79e331a0e23d417ae3 98c0129d49fb7504939bf1b70235708032b1d678 Package: connectomeviewer Version: 2.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1652 Depends: neurodebian-popularity-contest, 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~nd70+1+nd90+1_all.deb Size: 1150994 SHA256: 1010e605b6a3e8827a5299a1ecf248cb610c8c3bb77d922740cfcba689bc981c SHA1: 32ccf0c290df8fb04b3b660d507e3a0f0125b9c9 MD5sum: acbc76e7ac065581a48f09e5bdfb4968 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3890 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfuse2 (>= 2.6), libglobus-common0 (>= 15), libglobus-gss-assist3 (>= 9), libglobus-gssapi-gsi4 (>= 10), libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient18 (>= 5.5.24+dfsg-1), libncurses5 (>= 5.5-5~), libopenmpi1.6, 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~nd70+1+nd90+1_i386.deb Size: 561650 SHA256: a702a5e69d3f083fc00015273acc32cf75164aad5857d4a75bc54cc113031f0a SHA1: c7b8101b6d0ccbb4e70069fe087693b4f9a55acb MD5sum: af3fc0f7d9bda62b923ac7620dfcd8d6 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 855 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~nd70+1+nd90+1_i386.deb Size: 162558 SHA256: 38c9ec79673beb97481a45ba58a6b29db98ed8351bd6def07c0fa991ad11f321 SHA1: 8b387e0a3b6f2ec48c5442ff08de389296eab897 MD5sum: 7cb4fb6be77aff51f9f2145f7e626144 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2821 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~nd70+1+nd90+1_all.deb Size: 211826 SHA256: da05214a18baf5e069af50d860dbcb3efcf3bf210dca18f9e4e96bb1aeca249d SHA1: 6cc266c35d33a6090c5c33c9b8f308971a24cb83 MD5sum: adc3cb13d9be11595ff7978d1fea0eed 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: datalad Version: 0.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.5.1-1~nd90+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.5.1-1~nd90+1_all.deb Size: 53950 SHA256: 119257c16628f7ef8eb9c2586423086eaf31a3292add3a6682035484c7a866ba SHA1: c29cdf788325291ec07f1197c2d92a8a8002e1e7 MD5sum: f5d5b2ad9d54ae2544c43f881926e62f 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 at neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get), as well as search within aggregated meta-data . This package provides the command line tool. Install without Recommends if you need only core functionality. Package: dcm2niix Version: 1:1.0.20170403-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 490 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libturbojpeg0 (>= 1.2.90), libyaml-cpp0.5v5, zlib1g (>= 1:1.2.0) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20170403-1~nd90+1_i386.deb Size: 121056 SHA256: f7c53df826754d1a57a16e6aac49f6c658124b30c3c61eb441d762312b8b86bd SHA1: c7344de6eced0c9611272ef8b5c8cd1ab5a43c6a MD5sum: 8a8cbd977dfadb08f70d32f4a9bfd7b0 Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. Package: dcm2niix-dbgsym Source: dcm2niix Version: 1:1.0.20170403-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 466 Depends: dcm2niix (= 1:1.0.20170403-1~nd90+1) Homepage: https://github.com/rordenlab/dcm2niix Priority: extra Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20170403-1~nd90+1_i386.deb Size: 438680 SHA256: 4fa4c13b64ffff9c10db833c3a806a75f2e29f5968d06b3eb81d666bc26ca7f1 SHA1: ccae65daeb5c5c75e2442813f0df0cf629998a51 MD5sum: ff5ec2a52f0eefbc3565f919775126b7 Description: Debug symbols for dcm2niix Build-Ids: 32251eb4c6ae9d63b7e0a2e0b511f4029c86a19b 79215e0a46c326d0df1a60deb2ce991899de2d8a Package: debian-handbook Version: 6.0+20120509~nd+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23450 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+nd90+1_all.deb Size: 21615222 SHA256: a85ad362072ccad3a1034ac7ae2073b117a7a9001e79b131a6929272734e7f46 SHA1: 065382f6d0be6a5cbe2372ba15a0509f85b73894 MD5sum: 201becf6284759af070b8ee950fab0fb 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfftw3-double3, 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~nd70+1+nd90+1_i386.deb Size: 35798 SHA256: 5483757b907689394c082d7ffedca36f362e2cb27ef623734d0a9bb5581f6442 SHA1: 1585839706978c785e4ecd5f5d62c94eda4a200c MD5sum: 7b539725dca29cfbb88081cd3e7fdd04 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl, debhelper Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/dh-systemd_1.18~nd80+1+nd90+1_all.deb Size: 13810 SHA256: e3c6d4ea450b9b4462716a4379e06303dca077c6e37664293366eb1645700d16 SHA1: 0fe321df5ef5262d0395dcd70106aa69091d7822 MD5sum: 768da456c2645982f0a93d8ace2c098d 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 483 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~nd80+1+nd90+1_i386.deb Size: 97050 SHA256: 976c7a3d0749b5d82a684862977bbc96aa9375baf404128162491df4bcc439cb SHA1: 3a675054b72246de0697218890c348d2337cb6e0 MD5sum: a4587f2781adfa1767549f13157a21f5 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2800 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~nd80+1+nd90+1_i386.deb Size: 670466 SHA256: b079571e2f3677ab2554791dcfe5ed65a81db1598695be10b9ced18fae6a62c6 SHA1: cf442a15930f44b87f83eea5cfcc235c7c4e9dd3 MD5sum: 8567b2f1533f87e69d25d1ef9cac11f2 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20321 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~nd80+1+nd90+1_i386.deb Size: 4329140 SHA256: df47b6d491e04da2edb6b6d7e495299bd4035491595339804845ed4f4dc19cba SHA1: 05dd6e3a55cee43eae58680fc269b086f1c51188 MD5sum: cb5cd7a75db75851c9f37467a7532827 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: docker-compose Version: 1.5.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 278 Depends: neurodebian-popularity-contest, python-docker (>= 1.3.0), python-dockerpty (>= 0.3.4), python-docopt, python-enum34 (>= 1.0.4), python-jsonschema, python-requests (>= 2.6.1), python-six (>= 1.3.0), python-texttable, python-websocket, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: docker.io (>= 1.6.0) Homepage: http://docs.docker.com/compose/ Priority: optional Section: admin Filename: pool/main/d/docker-compose/docker-compose_1.5.2-1~nd90+1_all.deb Size: 87426 SHA256: e5e4379969e073b8a58ee3c0b1732ad940d4d64aca0f3ef03bbaf435fb4b53fd SHA1: d3f9b5d087471acd64acc1c56815f2e63994e44f MD5sum: db4a04b6180e8516867384caee744e20 Description: Punctual, lightweight development environments using Docker docker-compose is a service management software built on top of docker. Define your services and their relationships in a simple YAML file, and let compose handle the rest. Package: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 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~nd70+1+nd90+1_i386.deb Size: 26370 SHA256: 69e3e02541ef0fb5dc2965c62644fa8fe34f76e32e13ef1577bb18ce744721c1 SHA1: 66b2abb30133d4247dd7f6b1e751b2111d7fb655 MD5sum: 33850dbb9b51d7bb0ac522706067c46c 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: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8117 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 7075168 SHA256: 5d83d4720ebbec466e44e83c6e6a8a5b67bc8486f93bc571cde2403982dfaf0c SHA1: 062335d0be9ced61269e7ab4ae3bb9034993d9b6 MD5sum: 62a51e7e7f38cd6cdc21ef2931432201 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: fail2ban Version: 0.9.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1290 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_0.9.6-1~nd90+1_all.deb Size: 287472 SHA256: 9c30cc59bc11f1ffa9269255bca2cf88f17e00a8ef56a53bdab88ed14e92f061 SHA1: 7eda77c8d35ef39a45204d02bdae3de3a9a985c8 MD5sum: 0cd3ac6098ec590dbd6d1418b6249b16 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+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~nd90+1_all.deb Size: 1176 SHA256: 0e4e167e592b924f79472395fbee7033689ee077ee3574f35ef74577fdeffec3 SHA1: 3365f20281a15110bd4bd43778b9a980ccc99f72 MD5sum: 46c90a6d59e5a2a2d9f9c3c2a1c01232 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~nd90+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~nd90+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~nd90+1_i386.deb Size: 45258 SHA256: c0a776db0d31bc81daf79a9d3f6c01367880cd729acf0b64f830a1cefd7b65be SHA1: 0b29e1ea18e413dd75fabd04f08e8f4beff74905 MD5sum: 2f441f6d7fc080b7de2ffd2a55214bcc 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 491 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~nd90+1_all.deb Size: 339408 SHA256: 2ef4d1b9c56554a9d5f40d860ae0da8bf8469166b892ccd06ab53c8d7e847f0c SHA1: d7c76e4e962bac7828af674c926009546d927d99 MD5sum: 302ae30afdce18d894d054859912176e 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~nd90+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~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd90+1_i386.deb Size: 39790 SHA256: 7226ed33ec68c8cdb35623696ffad6e022380f077f53e99417938a009cf0b96f SHA1: 4c9ea00a482f61466df5df660d1f876ae3c87956 MD5sum: 189d89f69324d713eb9de6b8b2b5480d 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~nd90+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~nd90+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~nd90+1_i386.deb Size: 82188 SHA256: 916c0c7b021f0bb05e16127459efb0089455e2f0565273e1bf4e542728d8aaa5 SHA1: f51495f27d142fa3f75819d79b83c2c80486c6c6 MD5sum: f5d4ac44f4b9ac6167a0608615fb39bb 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3080 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd90+1), libgcrypt20 (>= 1.6.0), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+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~nd90+1_i386.deb Size: 623342 SHA256: 40bfb5a94b67576671fa0d0af843dd5fd0eb8593d510ecbfe893862c186120fb SHA1: 8061daac56fe1cf04a1feb72120bbdb04de2d737 MD5sum: 98905fde6eafeb66e539de6d8d1fad07 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~nd90+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~nd90+1_i386.deb Size: 8488 SHA256: 2947b5a5b6719c60afd3ef8609bf5782abf3b15ceadfbbfddd264aaf45a8bf2b SHA1: 17bd161d1cbc682327ef470c0c7473c554085c6f MD5sum: 1fc6af41d544707fc45b023efb5de2fe 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~nd90+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~nd90+1_all.deb Size: 13912 SHA256: 645e077ce9ef18f5ed060f06cfe1db6182307f8bd85ed6c3700847be65513549 SHA1: 27fffc42b2ab3cd055e60861ee89b66c41ba53c6 MD5sum: 8f155d7108a9e153239de07847443ded 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: fsleyes Version: 0.10.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 119988 Depends: neurodebian-popularity-contest, python-fsl, python-props, python-wxgtk3.0, python-six, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.10.1-1~nd90+1_all.deb Size: 10266210 SHA256: c5e6be4c9a7c7bce2bf05d0188fe729acad3a519c7d6d62d6f67dbb1210878c1 SHA1: 724ffd03a7d2b17536adf5e94701d9fe38079ab0 MD5sum: 7c45d35bf45b131bae1b132890d94d19 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: fslview Version: 4.0.1-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6132 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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 (>= 4.9), 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~nd80+1+nd90+1_i386.deb Size: 1270482 SHA256: 8ab6682e3b701b141a8aa1bad0b9c2f0e322fb3677f6807b0eab2f9961bec5f8 SHA1: ade35ba500b0fb5a899b84e778fb1bcd37ef0fa3 MD5sum: ca2b27e84636f6001d31fb4f327cf130 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: 4.0.1-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2929 Depends: neurodebian-popularity-contest Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_4.0.1-2~nd80+1+nd90+1_all.deb Size: 2226908 SHA256: 8b844c2c11167f41b2d20536095b36c3404514cb21c283097fc0cc876990d949 SHA1: a1a17b9b680e41e9757918f98c497c5ef1b253ec MD5sum: 2554c2d2bf8c93da5554a559ca7aaa58 Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gcalcli Version: 3.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1766 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_3.4.0-1~nd90+1_all.deb Size: 1669946 SHA256: 7dc7d3d75d040493e77758d61ab14efb09bb9a600b65b55b671a420b5c737950 SHA1: d3d70bbabee140b0b2160a85752273e2dc3a82da MD5sum: 1f34069749c520cb8c1ec165ffff6ad2 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-system1.55.0, libc6 (>= 2.1.3), 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~nd70+1+nd90+1_i386.deb Size: 51830 SHA256: 993bd4698945d68525845c96e322900d94000d848c74cea8e9fb9049e55a3d8e SHA1: 36a94c9de2ff90a63d10349dcd8a149fd07fdf9b MD5sum: 33438e66d8d9568f4dec13834c066343 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-standalone Source: git-annex Version: 6.20170408+gitg804f06baa-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 160357 Depends: git, openssh-client Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp 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_6.20170408+gitg804f06baa-1~ndall+1_i386.deb Size: 36087344 SHA256: 79d1c95938248e42360c5b74ef557721d81bb1a1f97acdbb0592b45775cdd6c7 SHA1: 94c292ca225877e3fc9a34e08479f5ec3665d1d9 MD5sum: 443b463a8685a365ff6c77c62b2ee410 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-hub Version: 0.10.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, python, git (>= 1:1.7.7) Homepage: https://github.com/sociomantic/git-hub Priority: optional Section: vcs Filename: pool/main/g/git-hub/git-hub_0.10.3-1~nd90+1_all.deb Size: 34104 SHA256: 92c3d9db46a2bbff7cba44df62a81a31e229b49eb38929e7a4b69147f037b805 SHA1: 9153f1fbd7a3366a1e366f0d41900f0ea3eaac86 MD5sum: 2b16bb55aa0de8cdf6761d7d0c89badf Description: Git command line interface to GitHub git hub is a simple command line interface to GitHub, enabling most useful GitHub tasks (like creating and listing pull request or issues) to be accessed directly through the Git command line. . Although probably the most outstanding feature (and the one that motivated the creation of this tool) is the pull rebase command, which is the rebasing version of the GitHub Merge (TM) button. This enables an easy workflow that doesn't involve thousands of merges which makes the repository history unreadable. . Another unique feature is the ability to transform an issue into a pull request by attaching commits to it (this is something offered by the GitHub API but not by the web interface). Package: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 94102 SHA256: 40d3fd31a00fef644860af640f65953950840904ef10c03090cf38face9e135c SHA1: a5ec37ec4fd11b581cfc78ab58d7f2b9847da112 MD5sum: 10d6c19998c2ccde88646b843abd4a4e 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd80+1+nd90+1_all.deb Size: 13846 SHA256: f245e355fff5b0333d20373a3733b34a6d5b89ecbb07e4a9f6dfe46266429ee1 SHA1: 96f7917de1151cc9ac199889d3346600c5beb585 MD5sum: 036fe63e248473476a6832cdce6324e0 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 516 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~nd80+1+nd90+1_all.deb Size: 431706 SHA256: 5baa52ac170db52217a2be61aa88e322b8b07d6547ff413c7c07a7ac5bf553fc SHA1: 38c24c6ff1aff4765fa37cdb6da96279569d4152 MD5sum: 523c9f22b9b0eba895a126a68c17b946 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 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~nd80+1+nd90+1_all.deb Size: 6780 SHA256: 6c7669e2313d4005be8fcd92836431a6acb0a8f6ff4b8c47108098e729bb4de1 SHA1: 8a20da50241cc0df8ca6b943c6896fca09230629 MD5sum: e152fd7e06d9454ac0c22f08b3dd4b9f 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 50 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~nd80+1+nd90+1_i386.deb Size: 14448 SHA256: 7da707feefb5ec2a3c7338330eaf983d1eb52b6722f9c7273d87f78d988ea86d SHA1: faf30cd7d5737b063547959e42c1476bea7232ea MD5sum: 3e46e9c451d5a9bae9aeb8e37eae1c46 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+git94-g85a2afb-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 91 Depends: neurodebian-popularity-contest, python, python-dcmstack, python-dicom, python-nibabel, python-numpy, python-nipype Recommends: mricron, dcm2niix Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.1+git94-g85a2afb-1~nd90+1_all.deb Size: 19462 SHA256: 72d4448a1282db3a203e62ec42846ff2c4e2290c3e4689c1f266caf5da5f5237 SHA1: 3d56f9e14971f640d80cbef4efd99b73d6c0ec1c MD5sum: c8863365a2af45f97ba71453be1c0d80 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 15154 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 (>= 5), libgsoap7, 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 (>= 1:8.35), 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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 4403906 SHA256: d948b60bd11a2a9c21bacd1d4dbe3d32b8e2fe9418972c1f74df813ea15acf22 SHA1: f4702ccae6cd1a1a44502f5f49dbc038fff573c0 MD5sum: 95f34993562abbeb5301340815524868 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 33002 Depends: neurodebian-popularity-contest, htcondor (= 8.2.8~dfsg.1-1~nd80+1+nd90+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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 31150676 SHA256: 1d0b8a7ee638e957b891e31c61ef254d4598c59b6f4d243922b2fa4096b54489 SHA1: 441d9868672eed458115bb363a7f9f79701f806a MD5sum: 95c3898df5d0af672626c4c0886628a8 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1232 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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 286926 SHA256: 1da6bd04f91941acbb6561ef3495b43e32175f111733242d7958637b8f69b55e SHA1: cb16329534b615931adef99e9140826b4ebeaf87 MD5sum: 192b0fc720dae8d2801783c0a137095d 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: 8.4.9~dfsg.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6120 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_8.4.9~dfsg.1-2~nd90+1_all.deb Size: 1066180 SHA256: 02ddda68a2cc73c183af764404d549af37aff73cf2b83b0895c3746d8fa23dc9 SHA1: 91f3845af9f13664d24e71c999db9d591ddea68a MD5sum: aeeaf91a6d0a64498d702fafa5e3fa06 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~nd90+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~nd90+1_all.deb Size: 175628 SHA256: bbf5e949aa516536c8f677bbbca1faeb65c0f9599881d9a7273fdd024606a0b0 SHA1: 7c8c50564c63dad435161d236fbd33c85f85435e MD5sum: 63edc042ded61939ba1d7a9f6cbdb7f2 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 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~nd70+1+nd90+1_all.deb Size: 9058 SHA256: dcb57631757a7635c3ee68bb989b2f3f77856c1f88d842cd64848f9776236e69 SHA1: e1caeb23b63a7b84829314c2a60b5130edb4d200 MD5sum: c220623e4e8976077d0c3de0d45bec30 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 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~nd80+1+nd90+1_all.deb Size: 13434 SHA256: 62d797ebebb6d054e9bfd1e70bfbc4eb760d8e06fa249d32af9f365f170f9f26 SHA1: 0d36a24804a540495ffcbba060615184e3708bbf MD5sum: 4d9b782a3c2f9164950b1f12bc035513 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3081 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~nd80+1+nd90+1_all.deb Size: 2498516 SHA256: d34d9328e9e8bd7bfb745a1cd0b915f0f61485c07ec1e0f65fc4c0f14eb68aed SHA1: 90d42a16d1a1b428e004c26671f83663ca9b35d0 MD5sum: 276b12088d4b89a13556404f5b95b99c 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: ismrmrd-schema Source: ismrmrd Version: 1.3.2-1~nd90+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~nd90+1_all.deb Size: 5024 SHA256: 47783565e8cf25043a7b556a2b246d873b3c1ceb958483c976a42656adc4829f SHA1: ab4854bd21f47ff471d488fdb44faa6bae9982bb MD5sum: 216c6a39349f3df9045fab732fcef2ef 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 408 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+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~nd90+1_i386.deb Size: 128330 SHA256: 87a13401bd84f6d0f7c70f61f155fdadc2b6861280feff5542787040cb9b6172 SHA1: c11b33f59bb94e4b77e10567c4814e7244278707 MD5sum: 3338b4137aefd952b72604ca2b194241 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: 3.2.0-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 13760 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdcm2.4, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit4.6, libqt5core5a (>= 5.1.0), libqt5gui5 (>= 5.2.0), libqt5opengl5 (>= 5.0.2), libqt5qml5 (>= 5.0.2), libqt5widgets5 (>= 5.2.0), libstdc++6 (>= 4.9), libvtk6.1, zlib1g (>= 1:1.1.4) Homepage: http://www.itksnap.org Priority: optional Section: science Filename: pool/main/i/itksnap/itksnap_3.2.0-1~nd80+1+nd90+1_i386.deb Size: 3045534 SHA256: ee69ece34fed0ba5ea2ea7a59570a5bf3731e5b8c3b7858b5c4f1cda7eaad59c SHA1: 8fe877b4480147c64420ebc62cc71d81f42d15ba MD5sum: d9b592645c23cd671baac4f36732836c 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 75 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~nd70+1+nd90+1_i386.deb Size: 20252 SHA256: 80aed052530b742f8713ce2f1acc42fe0d8552afeab7fcc96978650467a0579e SHA1: 37bf9bfe689ab84a4d2dbda5e3330a9da0590c8f MD5sum: ee0ce94eb94c6ca70670e70e24c1d1c1 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1370 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd80+1+nd90+1_i386.deb Size: 311510 SHA256: 8fdd56c655a791274e24bd4813052064ec0ac2611e95bac4fe704e8e2c46c2e3 SHA1: 957d6dbf305977af619e9e33d9f6565e9dbbe78c MD5sum: 722b048d7e43b61cc82476897efc48e3 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 839 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~nd80+1+nd90+1_i386.deb Size: 278296 SHA256: e5e6abd117ed38e9f6f0f00622e0c7e3d16dc302c4fc4ac4552eb6702dc78e40 SHA1: 8e81e7ae43f130707a0640f604db54029a81a86f MD5sum: 1f20015f9a598a5c3d71fdc1f25538bd 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 321 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd80+1+nd90+1_i386.deb Size: 70396 SHA256: fc54273adab034c8332f0e839d32aac829798dc3455789f21d27a7ba260718d9 SHA1: 76a9cbd07d8ecb93c7ce331520d5331a921ee6df MD5sum: 6f87206ffb5c42fb5c2a1d9fe58ac913 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd70+1+nd90+1_i386.deb Size: 15866 SHA256: cfb84df40f1d720428aca84c98417e37c1c3c72b5c1b4573f3c8d49b2a2bef58 SHA1: 3d58219f6bcadebac2f4ea923a92fb54cbcc8954 MD5sum: f03bd50f2ba56f15f978582d11dbc1b8 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 94 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~nd70+1+nd90+1_i386.deb Size: 34840 SHA256: 838c2901088970051a229208bec232cbdfbd7fd98f5c63aa54aef04ed367fba8 SHA1: 0c0bf100ad41784490e0a579a1aa42ba35c9bbd0 MD5sum: caa35433928f7f8b4323badcfcb97b61 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1180 Depends: neurodebian-popularity-contest, libclassad7 (= 8.2.8~dfsg.1-1~nd80+1+nd90+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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 261178 SHA256: 6e29187c9f213453c45b83a4b63488f76da753b825e89845f60b8495a5c0246c SHA1: 296aaca72d9ba6ad873080388ffb21bdbf095c58 MD5sum: 6fe9512f75e766207f1822e6e81aec94 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: libclassad7 Source: condor Version: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 602 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpcre3 (>= 1:8.35), libstdc++6 (>= 4.9) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 205420 SHA256: c1f1290c4ce7dd156d1af7968afb7d259579b3d23b238353e91298dd096359d9 SHA1: b9623b621173b7ceef7af6fb4e0898782f88d383 MD5sum: 1a49bfc21e6a65340637a86bc9ca7f68 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: 2.1.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 276 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_2.1.0-1~nd90+1_i386.deb Size: 90352 SHA256: c851905e2f7b1146155e7d05f37c24fa03668f0715f075ffeecb6dc3781542c1 SHA1: 7b23a205eb6ac102fb08963b2dc00605c2b2ca91 MD5sum: db27fa3485c56332a9578a7bb5328419 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: 2.1.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 940 Depends: libcnrun2 (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/libcnrun2-dbgsym_2.1.0-1~nd90+1_i386.deb Size: 915272 SHA256: 6005e4b7b4fb484df7f59e0128dfea33cdf645128df71da1574cdb1d70124a9d SHA1: 87d060ef3b501f484989f7efb8fd0d044b777f8f MD5sum: cc1e3ec580f6847c944ecb4d17a27f3d Description: Debug symbols for libcnrun2 Auto-Built-Package: debug-symbols Build-Ids: 27a1afdb246c33f345b751827a3e938fb944fd8c Package: libcnrun2-dev Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd90+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.1.0-1~nd90+1_i386.deb Size: 25234 SHA256: e12037a48b3559710bef30b979cfdb13284fe0e96c9e1538899edddd70dc687b SHA1: 1d5dcaa2f1d24e366703b342b93ba77097dd1d5c MD5sum: 7c464520f91b47654f9e74fef88bab10 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: libdouble-conversion-dbg Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 87854 SHA256: a7e3936206b8a670cc7f05c868593215d82277b806263aad7bb89706286cab30 SHA1: 30ce4f19b1b651a441849376130525190248fab4 MD5sum: 8d343a60fff16438acde0e065cb9cb95 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+1) Homepage: http://double-conversion.googlecode.com Priority: extra Section: libdevel Filename: pool/main/d/double-conversion/libdouble-conversion-dev_2.0.1-1~nd80+1+nd90+1_i386.deb Size: 51836 SHA256: 3a7a29b23cb131425f5cfc2206f45f629acda0cba462ebe345e373c067b4672a SHA1: 0c75ec10dad644a581b09c139be9bbeb96229b9e MD5sum: ea2b9899c62e8657edc35b54d6b413dd 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 99 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~nd80+1+nd90+1_i386.deb Size: 36344 SHA256: 675471095a7bcfca5f67c9b062520abbc948a66685f19a00d0258107785e3c43 SHA1: eed5e221738a9e76b95e8fbd516b41551e45849d MD5sum: 6c9d5db2419a252ea4b5050c331f2ca4 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: libedac-dev Source: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18-1~nd70+1+nd90+1_i386.deb Size: 17534 SHA256: df9eab6a58cd662724116abb79f67c5f7a51026ed4d3f46b5f38c27a9c5dcf74 SHA1: e740f10323e8fab1080c72f40f8c8a8572d8a413 MD5sum: c397dc5519f28d8ea04663362d4b1c6c 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 38 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~nd70+1+nd90+1_i386.deb Size: 13852 SHA256: 07b8959a33f2e81c361401a3a4d0dca855720a5105eca47bb0d090a805f7d4e0 SHA1: fbfd26fb58710737a574e3eee35a5524d1088943 MD5sum: 154a4a2fb9a01334608ea5e7f2d94cb3 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 27600 SHA256: 78a20814f5d674672a6511088386c6b1116d0664dc10ec0a78bfebba00a181a7 SHA1: 1cc4343c5e2ca425b1c4a5e9f993bb2535e48d35 MD5sum: 4aca134dcc006d8b0b3956788117e717 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: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6549 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libfreeipmi16 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd90+1_i386.deb Size: 897468 SHA256: 1349f90f5863ca391a65dd4aec7684984fde9fd0f56265e114cf86b42fb5d7ce SHA1: 5ca0b83d426cc5c03561af28b84d959819a17034 MD5sum: 86b629748b7488ccda247aed74783092 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: libfreeipmi16 Source: freeipmi Version: 1.4.9-1~nd90+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~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd90+1_i386.deb Size: 747244 SHA256: c9ca935b803185aa42169309ed89b6f168e987962a0192140ab070f3580ef5f3 SHA1: 660944984bb4dc440f31419f3a9ba94722c6d3b5 MD5sum: e987e3e3b59c5f3e02f8373f588d88c5 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~nd90+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~nd90+1_i386.deb Size: 54396 SHA256: 96dae28a0872aba058c256785190b5c22db36447fe727f861b5b2ee2a8e3b99d SHA1: a68f477f1cbf53229f2de5a66c1974b6d689ff5f MD5sum: 6c1c2569ce82fed63918423e70f7b5df 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~nd90+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~nd90+1_i386.deb Size: 8532 SHA256: ca65e2be37c4be9f2b7f5e046bdfdc4d1b5c0bd599715039cff41bcb07cff89f SHA1: cb99c5098acdcb17761247348d25995ad0e054de MD5sum: 5669f1e630a9e4e20c44da4f2778efb8 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd90+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~nd90+1_i386.deb Size: 19278 SHA256: 45569252b5a9b6ae124069a11236c02d642525c8f5ab7bcaac51e5c80ebbbbe8 SHA1: d6eaaa5a93a27d634d82485d206022e88bc411ab MD5sum: 1f0fad124bf1602eb9f659ca929f186f 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~nd90+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~nd90+1_all.deb Size: 90116 SHA256: 7b1f3f8718bae55e7d612ff46474321e316a7b6c3995e61c2d1f9bd3206f34f8 SHA1: 2dabe10f4ec42810d36c3f92740c078eae537399 MD5sum: fb51b5583055b3c4a2f2eb4facd36aab 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: libfreenect0.5 Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+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~nd90+1_i386.deb Size: 45106 SHA256: b5ac571a07abe7a4770b4e2999614bc0fa22a3331fe422ce8dd0fcc13b2afd19 SHA1: 884e0e2d43fb64ff6b22495c9a49b9ebcb15bdcf MD5sum: d2cd38f46c9b0c30fd4ff05d9bb837d9 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 17378 SHA256: 0cb775a533ab4e4f87ea3469832278e737ba83b847a75b8983c5428a5e9fde3c SHA1: c7db476edd3328bafc3724bb768c3a9416c3c582 MD5sum: e9a25faf4520342d4a36d72b6b74cbf6 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 724 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~nd70+1+nd90+1_i386.deb Size: 154652 SHA256: 9009157b1cd7f8146f39778fc655cfded05dfa2ad89cbc8889e97cb3e1595e8f SHA1: c1549671c14369794372abc8a0a47906abc99a23 MD5sum: aa236e8a56e97993524c7f40a4100127 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2587 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 528646 SHA256: 22f774b386b9270653dc40b10f146b00136b15bff56f0b138a9ea0f669c23634 SHA1: 03b44e3c1b877e8020b79a8ccea87ec864e122c8 MD5sum: 105953583a0d825ae9ed6dfc552bf12a 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: libghc-network-protocol-xmpp-dev Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: i386 Maintainer: Debian Haskell Group Installed-Size: 1359 Depends: libc6 (>= 2.0), libghc-base-dev-4.8.2.0-a3ce8, libghc-bytestring-dev-0.10.6.0-89a6f, libghc-gnuidn-dev-0.2.1-a75b3, libghc-gnutls-dev-0.2-f3f96, libghc-gsasl-dev-0.3.6-afdb6, libghc-libxml-sax-dev-0.7.5-e77a6, libghc-monads-tf-dev-0.1.0.2-770dc, libghc-network-dev-2.6.2.1-bb6bd, libghc-text-dev-1.2.1.3-e4b35, libghc-transformers-dev-0.4.2.0-a5bbd, libghc-xml-types-dev-0.3.6-9f99f Suggests: libghc-network-protocol-xmpp-doc, libghc-network-protocol-xmpp-prof Provides: libghc-network-protocol-xmpp-dev-0.4.8-ba1a4 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-dev_0.4.8-2+ndb1~nd90_i386.deb Size: 175428 SHA256: 9cfa0aff6af8825cfb5cec49c232954437deee2a4b27127f4ae023be2d5e1cd8 SHA1: 8c94f4cee322606f53621efbc65dfa334d3ded5f MD5sum: 09007baff8e60210365d029505740200 Description: Haskell XMPP (Jabber) library This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: network-protocol-xmpp-0.4.8-ba1a4a5a5f67e9768490e152e5a67893 Package: libghc-network-protocol-xmpp-doc Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: all Maintainer: Debian Haskell Group Installed-Size: 475 Depends: haddock-interface-27 Recommends: ghc-doc, libghc-monads-tf-doc, libghc-network-doc, libghc-text-doc, libghc-xml-types-doc Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: doc Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-doc_0.4.8-2+ndb1~nd90_all.deb Size: 55164 SHA256: 81833a4491c651759b4cfeec459bee321e860d56681dd588e47c69380475202d SHA1: 6d97683ea5cf2cbfd37ef064dbe786e970e97202 MD5sum: fac4a8b7f49ccde1df6012b14266b0f3 Description: Haskell XMPP (Jabber) library; documentation; documentation This library defines an XMPP data type and functions. . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-network-protocol-xmpp-prof Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: i386 Maintainer: Debian Haskell Group Installed-Size: 1065 Depends: libghc-network-protocol-xmpp-dev (= 0.4.8-2+ndb1~nd90), libghc-base-prof-4.8.2.0-a3ce8, libghc-bytestring-prof-0.10.6.0-89a6f, libghc-gnuidn-prof-0.2.1-a75b3, libghc-gnutls-prof-0.2-f3f96, libghc-gsasl-prof-0.3.6-afdb6, libghc-libxml-sax-prof-0.7.5-e77a6, libghc-monads-tf-prof-0.1.0.2-770dc, libghc-network-prof-2.6.2.1-bb6bd, libghc-text-prof-1.2.1.3-e4b35, libghc-transformers-prof-0.4.2.0-a5bbd, libghc-xml-types-prof-0.3.6-9f99f Provides: libghc-network-protocol-xmpp-prof-0.4.8-ba1a4 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-prof_0.4.8-2+ndb1~nd90_i386.deb Size: 150362 SHA256: 80e7a40f404a36e29100cf3ffbe9863c759c3e342e31c0eee818b56d5bb10fc2 SHA1: 42078d4fa34ec128b662b7a9f2b094b3261dca8f MD5sum: 9f568f72df2dd392693328e065b1a07e Description: Haskell XMPP (Jabber) library; profiling libraries; profiling libraries This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 617 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~nd70+1+nd90+1_i386.deb Size: 128954 SHA256: 1ee078b1013bffa7102f11c24f89f1a992bbee26b934eff563d134e60253607d SHA1: 389f1e90777492d19272ba66c5e54b4045b80959 MD5sum: ebb31cc2d5adeded12098b291799ffa6 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_i386.deb Size: 33282 SHA256: a37623896ba85bc91bd133ac6772d43e7085d9429f4228d74f2f209ba18e44d5 SHA1: bbd438f98a1f16907e1eaf39f344102917219b3c MD5sum: 168e7112f5aeb98d318ae0824de99928 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1014 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 109574 SHA256: 3b93231d040c46bc38503740951e3405f459a0d039c99dd7fb32546812f5ea44 SHA1: a553759b6b46c6c54d5f05c27faad01289f7c0c7 MD5sum: 662f197e0714ef3e3c2e44b23ebd1dfe 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: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 562 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~nd70+1+nd90+1_i386.deb Size: 116996 SHA256: 424c12568f801dab5b75fb2623f4528591203718c0b2c4ae564f9b8a58b09f4d SHA1: 5a0b6cfa4cf42b02d9b436e6ef55bbbf919a5ea9 MD5sum: b7ad2dd1e7bd090d4f2e23f2e756becf 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_i386.deb Size: 26918 SHA256: a63610db0b7a2099c3887b05903c9deb1d63a7bffecfff1e3fb007d0e7d13c72 SHA1: 7d60708dda0f8371f3eee175fb0768b88cfb60b1 MD5sum: d2f9a77cd4b9a4263c4be90c8b2b658a 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 8490 SHA256: 24e26746c1d12fcb6e09ae5e593dacd7f2ed075bedb7e466a201179668a4f536 SHA1: f4989a3b83880b660a664b7871a21ef71431984b MD5sum: b2c04ba0cafed435d87b0bc0c708017a 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libfreerdp-cache1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-client1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-codec1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-core1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-utils1.1 (>= 1.1.0~beta1+git20130629), 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~nd80+1+nd90+1_i386.deb Size: 29848 SHA256: 7bfb3ab751b1c386cfa60c115517689c3e84f2941bad7ab13e7160fcd3f2df7f SHA1: 60b1448276c321681ab26c398ce2cda4b1d7e8d8 MD5sum: bec4eb040cd0647dba7a4adfb4edbed5 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 73 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~nd80+1+nd90+1_i386.deb Size: 23626 SHA256: ed02cc5bc4d1fc80e94ca29f0c3030132e8e5ba1e0aa30c6733219c1adc66a4a SHA1: 12bc557da7c21af3953f1ae11f86a532f1d08ebf MD5sum: 7bf0c3dd451007e188502ca533d5f10b 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac5, libpulse0 (>= 0.99.1), libvncclient1 (>= 0.9.10) 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~nd80+1+nd90+1_i386.deb Size: 11364 SHA256: 5df611dfc50fcf814765cfda62dbe36d18596897a2c30ffe7d4db18c95873550 SHA1: 70bea96e9572d20f5ac8164d053a932c9e444592 MD5sum: 09243660b09684a7884daffca53ce3ee 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 213 Depends: neurodebian-popularity-contest, libguac5 (= 0.8.3-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 36952 SHA256: d2f2c9ea38570c64b29d366af113e41054de4fd9e952e0ba031a83dcd51a9310 SHA1: d0d7594d7b2bcbb51253bc692f13ef755415ccb3 MD5sum: a9878bc5d3b144fe8c84f4ff0da1a399 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), 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~nd70+1+nd90+1_i386.deb Size: 16316 SHA256: 9e88f21038f6e34c67ba2ae25bb5929744590e0098f95d8f642ade8c03933191 SHA1: 3727ef995da6bfa644f872c6c57caaaf81e897a5 MD5sum: 69817896e64ebd8dd930d8383ea9433e 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 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~nd80+1+nd90+1_i386.deb Size: 23050 SHA256: 87ae2fd300d108bbd611dbb232a57e2a5de7c13b7839cdaa3a130a661ac8a5e6 SHA1: 434488d27d2c9d5de1c9d0a982966bded7bb8ca9 MD5sum: 5624cd7ce69501a6f42f06fc3b83a6f8 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: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 449 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmiconsole2 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd90+1_i386.deb Size: 105778 SHA256: 5424d7b730c344d852b952de5e3596641bb7aa924beeac02e3d22a8fa5263e34 SHA1: 2d276de50c58494fef5befab0d958994ec92497d MD5sum: 3862551f214680053dbfdf4ad81e6da4 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~nd90+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~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd90+1_i386.deb Size: 88094 SHA256: 7df858c77204818170fc8ab407faa8e9f36299b1f4045968eeaf77a3310f2b34 SHA1: ef7170d89afe936dacb2292651626036451995f9 MD5sum: a588e0f7f02212c23d409194ac1d1cdd 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmidetect0 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd90+1_i386.deb Size: 33420 SHA256: af9659ea9e83bf2529418c837da2ba6e725c42c877db9785fe50f9bcb713959b SHA1: 385c17c4fe581520e78fd4bd7e51fcdbe70686ec MD5sum: af096f5d74fab9a7153960bbb6b8cf25 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd90+1_i386.deb Size: 27280 SHA256: a51c55d12b986bd17d39db7eac621e52cf8f917d8a437724b5d351776cb0cf0e SHA1: a8e31495a1b24d762c7d664e3c0fa8dea0b68162 MD5sum: 40ab2167a9df17b21a66ddee5d333407 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmimonitoring5a (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd90+1_i386.deb Size: 63650 SHA256: 861311bfa9b0ae0e81596e6798cd1232477fea85b3a247464088d70ec777b08f SHA1: 5b00a8a5cc92426e9dca53b7ed0df2ab8d5c48d2 MD5sum: 8a3f243220207bbcac93f57b77e977fa 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: libipmimonitoring5a Source: freeipmi Version: 1.4.9-1~nd90+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~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd90+1_i386.deb Size: 45556 SHA256: cc221fd2fa75381589d3b0b1319f277b1f367eb27f63e502726cd62f2c7412a1 SHA1: 6025879aca3c80d6c45334e9c3d54e9a0d873d69 MD5sum: c7e3a4d14d4df7826c036a4132d61e57 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1) Suggests: libismrmrd-doc Homepage: http://ismrmrd.github.io/ Priority: optional Section: libdevel Filename: pool/main/i/ismrmrd/libismrmrd-dev_1.3.2-1~nd90+1_i386.deb Size: 13810 SHA256: f168e0c36dbe650b514786168fd40f93c86e3ae29d63a584f2795085882a2a1e SHA1: b07017f8d04b271a131197150bb6082815b78057 MD5sum: 02ae04a818423a141c99909462fe0b91 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~nd90+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~nd90+1_all.deb Size: 158250 SHA256: cd29ecf75ed8a2f2c6d14b83f63fe38b4d15ad1220bd2153bdfdf266921d1736 SHA1: 7e43ee7fc12a4f0468d6cd6cb359bd39131f829c MD5sum: 882d568635f9cab550288c0009160547 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~nd90+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~nd90+1_i386.deb Size: 85762 SHA256: ac4d8f7636b31ef86a7df6a527122ed931cef8fea242f30f4cc26af85cbb37e1 SHA1: d40cf04b4ba8facf2b37de4cd508ed3ce8f1c2a9 MD5sum: 41df3243429df52431a9e91d10178249 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: libmia-2.0-8 Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21688 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.4), libdcmtk2 (>= 3.6.0), libfftw3-single3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libitpp8, libjpeg62-turbo (>= 1.3.1), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.38.0) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/m/mia/libmia-2.0-8_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 3422232 SHA256: 58c25bb5c66805a02e48420780dc53254fe651c4781cff9426820ef716ce3bcb SHA1: 1e809dc9fe576ca12ebd818955b212bfff76c9bd MD5sum: eb48b6146d4a0819cfe06f730eb17b21 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 61218 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/libmia-2.0-8-dbg_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 56512366 SHA256: e6ddf09f3fa9e3cec69327edec433d8510ae09cabeeabe7a5baa9a1ebeaff074 SHA1: 8b6bf5824f026b0ee56a63ff7f8a7ca117cb1eae MD5sum: 626694db18a9827d31b110579b6439fe 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1254 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 177524 SHA256: 407189fa90609b68bdd27775e75aa6ad1e1b26ae4105ae264a9b5c7319d4d705 SHA1: b889039861c8ee63370fd362834ed49727dc6845 MD5sum: a8e3ad996bf7c78b0cc11b93249d562c 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16445 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~nd80+1+nd90+1_all.deb Size: 1145474 SHA256: 22353c91f476fe6f63f1a34963bd303a1bd030f369a334dc9ad85e91cd14fcb4 SHA1: 207ee6bcc687e9307274cf8def76f6d865690575 MD5sum: 27dbf2673981e05d840fd884459a2f2b 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 279 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libm/libmialm/libmialm-dev_1.0.7-2~nd80+1+nd90+1_i386.deb Size: 68532 SHA256: b8e5ed45d0dea8659dcdb3ebafcaef202d56b49ff79198896af60bbb92352c8d SHA1: c238cafb099008a1dac99bcbd51f79b80b9ddcb6 MD5sum: 880df25cabbc3b1943b2366cbf18f66e 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 249 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~nd80+1+nd90+1_all.deb Size: 21262 SHA256: b818b86b8b03b2de2d9028afb4a6fcefc7efac47e9922d583ca24642e136f7ba SHA1: 4068ababf8509c40454974d12b1f613f93cc5a6f MD5sum: 20aa66e7a83a9b83d8626eabb1a0ca36 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.41.1), libxml2 (>= 2.7.4) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libm/libmialm/libmialm3_1.0.7-2~nd80+1+nd90+1_i386.deb Size: 19126 SHA256: 8252e90d48d5b03748e74e504acf9608fd0585cb9c9b206d893cbfd2cf35e383 SHA1: 675bbabba180f180bdb67c8fd291da7281646b2c MD5sum: 33439825525edd5304a857d072de733c 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 70 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libm/libmialm/libmialm3-dbg_1.0.7-2~nd80+1+nd90+1_i386.deb Size: 49104 SHA256: 2944de5bd1163e5e4876fac2383b19a0494f8608fbf003d6848a71b798f331a5 SHA1: 50be04964685d0fe7453131aea907e61b8f30677 MD5sum: 61ec02cc2ae8798aba48315a9a1cc574 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: libnifti-dev Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 439 Depends: neurodebian-popularity-contest, libnifti2 (= 2.0.0-2~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 133426 SHA256: 3cf3f60a7b19d4cefe200f3cffe2abb4876a3a251383b306c11dd0095989ba6b SHA1: 917f7eb30a5a5e9e4575a926616ad1eff6441750 MD5sum: 232e2b19482307e0eb09bb62a81ce61a 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1705 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~nd80+1+nd90+1_all.deb Size: 137744 SHA256: f5f624f2a3073c1676ff234d94abc713ce4c73e4a17989868035bc67d1e4d9e9 SHA1: defc10d95d0f843756f9402e05ba12d41e1546c0 MD5sum: 4dbe6f75c01b260f4534930c082b2774 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 286 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~nd80+1+nd90+1_i386.deb Size: 101716 SHA256: 12f2ab57c0f93775b81e7c94a6345bc17c0fea3bde15517a78a6ae0da04cb903 SHA1: f02347a63f9b18b709608bfd5ae58fefa310126f MD5sum: a7d630746f99345e4a1059bbc0defeaa 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 557 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 169566 SHA256: 8effb2ff2bba012509302f23240563544016b352d1350ef1348cf5036c5631d9 SHA1: 3be259f44473718f9b7398ad2fab69953b2d9e32 MD5sum: 397b56cb5484883f851dc651b108b1f6 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), 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~nd80+1+nd90+1_i386.deb Size: 36562 SHA256: a0ad667283775bf28f74a064a2d86b742ad79fcaea431715ef81247286b2d5a0 SHA1: 1140b314fec0ef50f7c9f7592bfeb283c5677ac5 MD5sum: 370935a703266004b902c62ad3fb399b 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 444 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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~nd80+1+nd90+1_i386.deb Size: 159878 SHA256: a20e51f95186bc3d08d740f46a60d75c922a8bad12b5f81c9a5e8a5aee27810c SHA1: b2171371ce99ab2aaf824184b358ab2ff6610569 MD5sum: 21c39614da625976ebfc38e08a0e5dc9 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: 1.8.8-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 19201 Depends: neurodebian-popularity-contest Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.8-1~nd80+1+nd90+1_i386.deb Size: 2664348 SHA256: 11bf18bdab00327ca0cc54221f5d4507e7e3c7e841883f1c7bc9f7affa4c4c54 SHA1: 4e42292067cfa7ee8d6c1f3debed00e03d9b7722 MD5sum: f1034c458982a6352b4b21297ebe20d6 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: libopenwalnut1 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6707 Depends: neurodebian-popularity-contest, fonts-liberation (>= 1.0.0), libboost-date-time1.55.0, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph100, libopenthreads20, libstdc++6 (>= 4.9) 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~nd80+1+nd90+1_i386.deb Size: 1331666 SHA256: a94344ae55f100aadeea5e88910bdb5aca3360b41a2bfe0c93c7acc6e3940a5a SHA1: 3a489ae0bd8e7ac9fb5f8fd0effbf2b4e33304d0 MD5sum: f3d3724065e267a54b90f41f4b4c58bf 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2144 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 248380 SHA256: 837d9ce0cce9ae9850dcc0916e49b3e38113e25f1157c9164ca7c34b0b947ff7 SHA1: db03418fa88d9c39fd6d9681b7126b12d52aa32d MD5sum: 33c450b5048e22d9beeb75af4e11b058 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49240 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~nd80+1+nd90+1_all.deb Size: 2681858 SHA256: c83b9176f3ff3cfa9e83ee97caabd28ecede43bf5ffa8dbfe9ce9b72977bcf9e SHA1: 2bc64d4f70f52d587d898216e09ae1457a527dc1 MD5sum: b2239dfc83b9656f9ba915d4fcf8284e 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21 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~nd70+1+nd90+1_i386.deb Size: 7284 SHA256: 0d10d5f1700e73f7be633b1ff3890c6824b97f49da40528e23078dca5896f33e SHA1: 2468547adc6b233bdcf0975bcdd18cf96f2c584e MD5sum: 44e4aead93c2b225546c8fe46810d86c 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 12066 SHA256: c49392e07735b4b7a09f4488496cd7145bbe11c2d561560b0022bfbe333a0b3b SHA1: 4ea2cd6cb5e581661d12ff18dec748372d2e08e0 MD5sum: 3679e8b8675b808ba814cd27b8de442c 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 66 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~nd70+1+nd90+1_i386.deb Size: 26804 SHA256: 411707984f77d69ec7c0f078885947d2b6e2acd18f9a2a3f4f2ca5db38e59ee1 SHA1: 66a8e3144d3d21a61a7669f00c0df0dbdf437dd6 MD5sum: c85014599c8283dfd3958767acc2ff41 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 32054 SHA256: 4305a3ffd0efe631c71cc79c37a9935b65a7433f8e0a9bae4d683625d5ee795b SHA1: fd5abd1711059187a2f7bb2211b3582bad2ca95a MD5sum: e4ee6ec2ce4e39db8fdc7772df2c2867 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: libvistaio-dev Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 218 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libv/libvistaio/libvistaio-dev_1.2.16-1~nd80+1+nd90+1_i386.deb Size: 108314 SHA256: 697a730812079944edf47d67a273447d427605dd478d10463ecc4f85adf04f90 SHA1: d64e8874704c4282126b7b0731a8bc6ee7e1bbf0 MD5sum: b91a7d6c33bcc65a8a24eea13210982a 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 114 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~nd80+1+nd90+1_i386.deb Size: 39156 SHA256: b68c4b4a00384fcfda82a9c2d73eac6719351a43639e50d19fe142ca35399732 SHA1: 3a69debca354b35ac37c7624cc9135bdba7a8d0c MD5sum: f0b31a0e7f440c8409089ae5e3a27a8e 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libv/libvistaio/libvistaio14-dbg_1.2.16-1~nd80+1+nd90+1_i386.deb Size: 61832 SHA256: 0d94750a1b6fddf03d7b50b1c5c895de86ea3eb91ff878ec322e738d0c80e8ab SHA1: 0a01b11d13fa6ade265167eb6d26bc9d1734a1d7 MD5sum: 8a6f41fd612ed3ee94fe22583956c693 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd70+1+nd90+1_i386.deb Size: 185254 SHA256: 4c89653c3e2e7d63f69b62856070fc68eb1a1279e6916491512db4c75376b653 SHA1: 41b46561a6871e2e0b1f44c450c8c4215e82fb2a MD5sum: 1de317ca44f8750d615f2c51c8a6607c 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 568 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), 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~nd70+1+nd90+1_i386.deb Size: 193356 SHA256: 11e10339e2c762b3c638cf9c3088a2538e2c65531381ababf40488e21378f21c SHA1: 12ead6453b2f1a7026c467acb6279dc80b070044 MD5sum: d8f0aa07eb56eda06f5c5d1c5881cddd 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1253 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), 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~nd70+1+nd90+1_i386.deb Size: 382020 SHA256: 11df88e3c8bdf6f6a10e55c9faeaa4b6d1a0c0fffff4e20cd7e15ace72809a62 SHA1: deacc52d1d67a56b7afc602e98f694278a0f7857 MD5sum: 1e2a0c37f28af112f53d41aedd2e7978 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~nd90+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~nd90+1_i386.deb Size: 73358 SHA256: b58c10895ff5b7a0aa635cb61d17e0d7b962773a5fe01eaf233b65dc81cb9648 SHA1: 0f314c7fa590df23b8f5ccb56a6784af1de3262b MD5sum: 50dc2dc96554cc0177de84e501d89339 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~nd90+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~nd90+1_i386.deb Size: 436080 SHA256: 9e5439f295fc26a2a72a4814e27aca12ad509d29259d250ff3ae09fbfea42157 SHA1: b1cd1be31efba5d7337c99f75171caaf511ae041 MD5sum: 6b747ab6360f467801ff84d9e4c0c8dd 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 564 Depends: neurodebian-popularity-contest, libvtk-dicom0.5 (= 0.5.5-2~nd90+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~nd90+1_i386.deb Size: 80734 SHA256: 645e19de3087466b6b9c1fdfac892e17952a40a0cae9a9aa1c44b9a324926df7 SHA1: ede92e90bfe4a2d12197218965a2cb82e2fe2084 MD5sum: db69b4a4865c5e91f056248f79181689 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: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 55 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 27258 SHA256: 72e861669889b7a92ae7f4b77d10d41677ffa0885926811f12d893c6798940c4 SHA1: 631d725b0dd32853c7e97d94b78345c4305738c9 MD5sum: 4f75b1209e12948832b9cd3140e3f609 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 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~nd70+1+nd90+1_i386.deb Size: 41970 SHA256: 7938c7aff90ae540f6a67c62331c22266be7a0152c116962f5c7bfbb54c40606 SHA1: 2919842d78ec7fe7d6c8777cf9debe2fb239c759 MD5sum: f2cb9f5d63edcd6b82ff1e4dfb12c72e 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 65464 SHA256: 95f65db4eb67448c9af1ae71bed67e9a3292a6d6ae7107658139b9d0cb4dccdf SHA1: 8a86c841e4f7b28a6c3b1e2d2cf4c9d0b12a1919 MD5sum: 682e0fe3fe0cf21115de7137a42a93b1 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: 2.1.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 116 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_2.1.0-1~nd90+1_i386.deb Size: 44118 SHA256: 14e7f7b09992fdfb0fbd8c4464fcca974393f51f7eb4f72811514065b0194300 SHA1: f344fa82c86b39895f545affe820c6f4c862340d MD5sum: abd82b5348da80a6c4c6169e6315d7c7 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: 2.1.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: lua-cnrun (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/lua-cnrun-dbgsym_2.1.0-1~nd90+1_i386.deb Size: 261492 SHA256: a05edfb9bdfe016a5e83e22597974fea1d85e2674ff61bf312b8c9685323dd45 SHA1: da1cad89a76a3e57b1642434a0e765c624e158c1 MD5sum: f7aa274b305207dbbd7ab0cd6446a269 Description: Debug symbols for lua-cnrun Auto-Built-Package: debug-symbols Build-Ids: 6ea7f1d7b5a6b6c00a8d88df6f213abc9726cf9b Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd90+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~nd90+1_all.deb Size: 7514 SHA256: 70e460df62d8e62f429592dd9223cbc009adf3f0409340eb0345a1a3c730b037 SHA1: 1d4018d1abd28a97c88b67824194116e817c516b MD5sum: fd6d59f8278c996b8a4f2f245113ea76 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7693 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1), libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libglibmm-2.4-1c2a (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libjpeg62-turbo (>= 1.3.1), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.38.0) Recommends: mia-doc Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mia/mia-tools_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 1421932 SHA256: f5ec7408f6808535b212cd30ca9ea223722e313eae782d75b8262fada2c719cc SHA1: fe9e807a43373c6534f1ba754492a013c404716d MD5sum: 76eae9ea44b752c1005f621a480dbb75 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27326 Depends: neurodebian-popularity-contest, mia-tools (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/mia-tools-dbg_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 25468738 SHA256: 965ca50e43612ccd4c250b63934e8f3db823f9d252a2cd97b8cef5860e1b5e2e SHA1: ec3be2a7de513c83b1b4c0efa5ce6f30e2dfa3a1 MD5sum: 8b91076d1e518b46abd02cb8e49cd566 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1227 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~nd80+1+nd90+1_all.deb Size: 78588 SHA256: b2e28ac06616de16419dca9ffe55d4cd31ce25627201cb084f64f13bdbfd9ccd SHA1: eabc90ca30982d35ac6e45697cd8f2670cdcbfd9 MD5sum: 39002ffe1546edf4a27c57fa26bf9c66 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 200 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 (>= 2.41.1), 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~nd80+1+nd90+1_i386.deb Size: 72070 SHA256: c9f60ad37c9df3d2eea30dfb59c41d8c4618205bb67f3d0650ed33288fb13b09 SHA1: 6bfe71d2395ce186de3879eb43c83999cc45ed3b MD5sum: 3b46a1da928f05f88a90397f4db5b5bd 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 171 Depends: neurodebian-popularity-contest, mialmpick (= 0.2.10-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mialmpick/mialmpick-dbg_0.2.10-1~nd80+1+nd90+1_i386.deb Size: 139330 SHA256: eb025a3087451a5e57f3ca1f7a880c211126565302b20946e274428b27ec2a90 SHA1: 68eb034c869a0e6468ded55b67aa1d00c79b2541 MD5sum: 868dca3dce39082fc47da65d7aeadc75 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: 1.8.8-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 7320 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.11), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.6.1), libqwt5-qt4, libstdc++6 (>= 4.9), 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_1.8.8-1~nd80+1+nd90+1_i386.deb Size: 2005024 SHA256: 2d18a75bb56d500516d2619dd47f3271da8ceced8a48e87da630715b5c47f07f SHA1: 3ccbc054d1a47fed440058e255b9eba4cfa01f39 MD5sum: 9ed3329615185cc60f92f7e7f2c2f594 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~nd90+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~nd90+1_i386.deb Size: 833676 SHA256: f250e86872fa4f29b180b58051a5b165e86029f927c7a86fa189f6128966b6d2 SHA1: c74358dabd4c5312ee0ca51dba4d87136ae711f6 MD5sum: 84309454c9e43d218eb4c997be6bf490 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 12525 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~nd80+1+nd90+1_i386.deb Size: 2061330 SHA256: 9aa7adb03be73e7edea795609c858b6d8a9112c5d24d16571ab3b8148c059cf0 SHA1: 2ad587b51b6a3074965dec2727b2d177e8d4fd2c MD5sum: 10c3a35c586e67bc6bdbd5b82b3285e2 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1696 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~nd80+1+nd90+1_all.deb Size: 1661008 SHA256: c72c5a52aa36f95b969d40b6696b3fd6825e56f2b4c747c8c7583fee75f818a3 SHA1: f7adfccd1977f34cb146ba91f62f47348c91d8ce MD5sum: ac38c72fa2c712209849a6c07d7e7997 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1024 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~nd80+1+nd90+1_all.deb Size: 579888 SHA256: eed56b4447c212858640a3e24d776b3404f9d3b81d732faa0dcbeab494a9e1f7 SHA1: ad06900073ad2fff7af240ab1c812298c638efc1 MD5sum: 4b028808fdef22505256fe03fbb307ac 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: 0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd90+1_all.deb Size: 637220 SHA256: 0d5addda07d70430be617c8b61491f817ad1c7e8c3189743681bc15cdc0adac2 SHA1: c8108080ee235aac28d8afbd4159f6ec321734b1 MD5sum: 20bc4e3c97f38a244f261a54478fa483 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 8648 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 (>= 2.16.0), libglibmm-2.4-1c2a (>= 2.44.0), 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 (>= 2.36.0), 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~nd80+1+nd90+1_i386.deb Size: 1449838 SHA256: a544d06a731fa68c90b65077cdd67015aa2a55a914b302db07f59e75d85053ff SHA1: be8c78b1fe1dbdf1873f396d902df553cefa4416 MD5sum: 9a5c24139e7c60d56a85a18fe14b9492 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3542 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~nd80+1+nd90+1_all.deb Size: 3198612 SHA256: c4759ba0583f737edb2e578bfce4f4243f46325d84ae08ac123fa2cb32858f1c SHA1: 5418da876c4b3fbd5f96f5fe3a670828a46683b8 MD5sum: 53aca395bed6599b118a7115d696cd3b 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 301 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~nd70+1+nd90+1_i386.deb Size: 214522 SHA256: f1ca92b9019dba77bbf56e60ba7fc6459667da3426f49d378841203b656810b2 SHA1: 504943be9b9eab8b42058856676ee33f727b75ee MD5sum: 410cf7598821d70d5eb9b34fd1a90203 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: netselect Version: 0.3.ds1-25~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 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~nd80+1+nd90+1_i386.deb Size: 30558 SHA256: ed1523eb1185c785369d0616abf7a9d7b336f627883adc81b6754127b1e2ee24 SHA1: 2706e28a29635517677b544307511c994db3b366 MD5sum: 30d8d994780f867494068fc528a00916 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 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~nd80+1+nd90+1_all.deb Size: 16768 SHA256: 0855800d052bec8451592fc24b243e211b528f2f09f4638271b33344b4f75fd6 SHA1: 009fe8913a3e0df14c68d36bc8cbfbc3bdb718a2 MD5sum: 364fd6a7cc867d537b4c2d9bce6860ed 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: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 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_0.37.5~nd90+1_all.deb Size: 34568 SHA256: 83aed7e8cbf8d711cd5e2c3dadd939ebab7407ee05d55d34a9bfe77ff2c405b4 SHA1: 884fcdeb3489ef2843683c9baf99686f9a127179 MD5sum: c13c80829e96db8a358d2098fb389999 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: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: gnupg2 | gnupg, dirmngr 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_0.37.5~nd90+1_all.deb Size: 10368 SHA256: f4437b65cd67ea7e8e596cf5acbe212f35d5cb0f8cbb19488ffc3f0ccef1e22e SHA1: a8784de9924fa5b63f4fe70e35cf631eda74e6cd MD5sum: c6c3b4717160ce47f79b9fbbc10a99f8 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: 0.37.5~nd90+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 Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.37.5~nd90+1_all.deb Size: 116344 SHA256: a11cc9627ecb196c2af0aa13fdd196441855069108bb8d11d6da092ed2dc2df0 SHA1: 1471196e9f06c3ab04427908a97272b2772972b0 MD5sum: d82e5b20383ef75885c3c212fb18317d 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: 0.37.5~nd90+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_0.37.5~nd90+1_all.deb Size: 32800 SHA256: 61359c80d672ba13276a48844fcef24b07360131e84711af4e76082855255895 SHA1: 4ddcf96e419e50ac1218d8dc33b95c4f880256a5 MD5sum: 7e54597485c17cdf49921cc76fb636a2 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: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: virtualbox-guest-utils, virtualbox-guest-x11, virtualbox-guest-dkms, sudo, neurodebian-desktop, lightdm | x-display-manager, zenity Recommends: chromium, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.37.5~nd90+1_all.deb Size: 16952 SHA256: d233364fe7aa105998e8889f11ac329bd97df92388953ae0b02a4b3fd9dc40fd SHA1: c421f577e843186cbc944059eb9bf92742ca22e1 MD5sum: f50b634636d463fdd31ae382fd6f5485 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-popularity-contest Source: neurodebian Version: 0.37.5~nd90+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_0.37.5~nd90+1_all.deb Size: 12390 SHA256: e1a0b1e064b882d032da68ef4fb5f756580ac0e7f10f6191a86b087e9adecbaa SHA1: 6d91d3cd8e0f4f1fae4024ab8c01a9a45a741992 MD5sum: 3dcffa9c3643af569eb5e66755b4704f 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 155 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~nd80+1+nd90+1_i386.deb Size: 56008 SHA256: ef6e39779d45c0399485c38e100184024436979361be436a0627efd46b009309 SHA1: 79bc9f06c532dd32f8fc36859e460e71a518521f MD5sum: 7af8bb543f614ba1ae6b2a5d4cff8cb8 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: 0.4.9-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2351 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libstdc++6 (>= 4.9), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.9-1~nd80+1+nd90+1_i386.deb Size: 363180 SHA256: a97950af1fd4ada415b6440f8e9917ea8188b45af79b55218b9f29f8fa279d5d SHA1: 2909fa402247074f6bfe87ec7c18b35eafbb4b88 MD5sum: a6878fab3028d635977bfc003c832ff9 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: 0.4.9-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 643 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.9-1~nd80+1+nd90+1_all.deb Size: 615920 SHA256: 25fdd19e2a1d27cd7e03c17dc874ec0bf5bfe53862d0edd400da96b9649362e1 SHA1: b63957274fc4d210c1a0b12766144d56a78752d5 MD5sum: 56bd9fd876a7a3458bccdcac9a1bc456 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: nuitka Version: 0.5.25+ds-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3209 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | 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, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.25+ds-1~nd90+1_all.deb Size: 655376 SHA256: 540e71c48e24930b42f92e662f118a6eb85f70f3c729685e9a01d75cf20f2f21 SHA1: 3d6e22c738fb5970cff99f72430089623ec7fac1 MD5sum: 398a1d12fa245e602a93cc8d1a225cc5 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 851 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), 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~nd70+1+nd90+1_i386.deb Size: 566420 SHA256: e3b4724c8e164cc1ccf0c4efea44f85704df6ad7fe41a24e782f56857e607f80 SHA1: 46ff21e05e1f3859dc3877a47037516f3f8c6534 MD5sum: 772155ad96536aaf0a973a3ab93f168d 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 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~nd80+1+nd90+1_i386.deb Size: 20544 SHA256: 2ca11ded8b1e0d344f15d0b3ce403cd46225d634ab678cee0b31f1788ee26f45 SHA1: 0b945525ebd8dce5eea61394c81d88818a464479 MD5sum: 5c11497b394f3b024621ddfd41274523 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 333 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdf0, liboctave2, libstdc++6 (>= 4.9) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 85340 SHA256: bc7813088f96cb0c3d93b49b5041fe04118b67a56a6989c1bc4c1c6c28d93b52 SHA1: 97ea726712cb27d8bf8da0fcd234487687567ef3 MD5sum: 61e3c68aa98b1782ad58b2ff924bab04 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 163 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), liboctave2, 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~nd80+1+nd90+1_i386.deb Size: 32994 SHA256: c60493b8931bfe538b5a82b4f1c378f897ec3a52dbf8267db18c0af54e1b0c9e SHA1: e9b17a926a3acde011bcabad24207762d93c5981 MD5sum: 8b71cc6c8d9387f86da9afd1e8c27339 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: 3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4236 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, 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 (>= 0.10.7), 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 (= 3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1), psychtoolbox-3-lib (= 3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+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_3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1_i386.deb Size: 843774 SHA256: 224cf289ebd0019a2b5f3a6228c959b9505bbd8fc70c37fc989b1fb60ae60265 SHA1: 6c1cb264d5eb1353c50837e2494d2e89a63d13ce MD5sum: 2245bee0a98e038ba3c23eb45ce44f4f 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: 1.8.8-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 4243 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.4), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6), libvtk5.8, mitools (= 1.8.8-1~nd80+1+nd90+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_1.8.8-1~nd80+1+nd90+1_i386.deb Size: 1295942 SHA256: ab361f41f65183ade4d38e99fb87e728449aecbed03f8f07ee4587003a2002e5 SHA1: 5ed8f6826bb7cccffbf5a9abc427a882615663ee MD5sum: b1e22484f009c4214857778acac89ed9 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: openstack-pkg-tools Version: 52~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 191 Depends: neurodebian-popularity-contest, autopkgtest, libxml-xpath-perl, madison-lite, pristine-tar Priority: extra Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_52~nd90+1_all.deb Size: 52248 SHA256: 538efb7329f62d94c695cbd2bfb296e57bc95465abb5aff95c830b4498bddf62 SHA1: c375dfac7f95f0e0ae8a0120de080d949e60343b MD5sum: 5a22f51680fb22850416c72fb2c0fcd2 Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the Openstack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc, systemd and upstart. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19757 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph100, libopenthreads20, libopenwalnut1, libstdc++6 (>= 4.9) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_i386.deb Size: 3566710 SHA256: 409ff9a445375bd6e97749759b073da9104d6cf50cbcc9d401653ea9a03eb2a6 SHA1: bdc64231ab443b7d42bfafcc30d3961c4acb4249 MD5sum: cb447c1729956d85eb424045a26676b4 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2118 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libopenscenegraph100, libopenthreads20, 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 (>= 4.9), libx11-6 Recommends: openwalnut-modules (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_i386.deb Size: 775422 SHA256: 155fbb0c57f0c808fc4cb45c88d24ecc4846c0e37743bd7c614635e67e4d934a SHA1: 62ad61da35ca01b7cbcc4db08c071f6562db398a MD5sum: 6a151aca5909028068eff7210ffc7050 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: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 941 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 5) Suggests: p7zip-full Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip_16.02+dfsg-1~nd90+1_i386.deb Size: 384600 SHA256: e051454924e1aea1c380a2932ec703c0e6e72e6cbd66e16900ffda099b9f398b SHA1: cd5ca0d0ea728ac2f3f0d7e5cca2b9b034836a39 MD5sum: 7eaabdbb2a91718fc8084523965a28a4 Description: 7zr file archiver with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip provides: - /usr/bin/7zr a standalone minimal version of the 7-zip tool that only handles 7z, LZMA and XZ archives. 7z compression is 30-50% better than ZIP compression. - /usr/bin/p7zip a gzip-like wrapper around 7zr. . p7zip can be used with popular compression interfaces (such as File Roller or Nautilus). . Another package, p7zip-full, provides 7z and 7za which support more compression formats. Package: p7zip-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2336 Depends: p7zip (= 16.02+dfsg-1~nd90+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-dbgsym_16.02+dfsg-1~nd90+1_i386.deb Size: 2219244 SHA256: f43c148e11ec4e12d2a0e246c190f315fd7d44b98d15b7d1096ac8dd680187b7 SHA1: 7e704ba5b6a0b5ebab9a832c987279d5e7a4653d MD5sum: 2a3c4cefaacc0ef3d38c841ad923b828 Description: Debug symbols for p7zip Auto-Built-Package: debug-symbols Build-Ids: 62dc2d2bb62bd953956935b12e4874b1f78c6092 Package: p7zip-full Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4535 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, p7zip (= 16.02+dfsg-1~nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 5) Suggests: p7zip-rar Breaks: p7zip (<< 15.09+dfsg-3~) Replaces: p7zip (<< 15.09+dfsg-3~) Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip-full_16.02+dfsg-1~nd90+1_i386.deb Size: 1366924 SHA256: 1373828c84323679a0b537e34e48c5b2f853bd2c4c52d3a868e3d7769bf22b7a SHA1: 9c580d4670cfa7a9de66ad633e31158f53fdfe27 MD5sum: c870fd5ad6f8c2f5b9be332a7cc2b078 Description: 7z and 7za file archivers with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip-full provides utilities to pack and unpack 7z archives within a shell or using a GUI (such as Ark, File Roller or Nautilus). . Installing p7zip-full allows File Roller to use the very efficient 7z compression format for packing and unpacking files and directories. Additionally, it provides the 7z and 7za commands. . List of supported formats: - Packing / unpacking: 7z, ZIP, GZIP, BZIP2, XZ and TAR - Unpacking only: APM, ARJ, CAB, CHM, CPIO, CramFS, DEB, DMG, FAT, HFS, ISO, LZH, LZMA, LZMA2, MBR, MSI, MSLZ, NSIS, NTFS, RAR (only if non-free p7zip-rar package is installed), RPM, SquashFS, UDF, VHD, WIM, XAR and Z. . The dependent package, p7zip, provides 7zr, a light version of 7za, and p7zip, a gzip-like wrapper around 7zr. Package: p7zip-full-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10723 Depends: p7zip-full (= 16.02+dfsg-1~nd90+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-full-dbgsym_16.02+dfsg-1~nd90+1_i386.deb Size: 10188392 SHA256: 6c3d255c4764002f4e787b0abcf1471ef0ef55a294096c98e5a5370ee9a91a20 SHA1: 5a156f7aaafeddc9ab3684e0c3108f954ab9c99f MD5sum: d38e7e1d15feb172790a154a7436ce96 Description: Debug symbols for p7zip-full Auto-Built-Package: debug-symbols Build-Ids: 484d11117ed8f15b5ed2f4c45414669de7eb9f45 7ad440302f192c6fa38d4371c8337382354b0001 7b70c37d8e7883013b926b8b9480835fdf916aa8 a7f79b7296e5b23621577d47323a3fe85d53f659 Package: prov-tools Source: python-prov Version: 1.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.4.0-1~nd90+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/prov-tools_1.4.0-1~nd90+1_all.deb Size: 6472 SHA256: fc1deb4cb242127979180dd393407d3fe8399e8b82197e655c5b69a149c456be SHA1: e972eef8be4c03e5d948e6072c7b99b9c21e03f4 MD5sum: 076587e9aa059418ce4f13885b2e3530 Description: tools for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the command-line tools for the prov library. Package: psychopy Version: 1.83.04.dfsg-2~nd90+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~nd90+1_all.deb Size: 6134548 SHA256: 0bd2955e77566512ccc5b15f7273924031b02b022300039b606ca55948a82c70 SHA1: bfc14d007712702cfdec7cb2256204154986bf68 MD5sum: 77e2b854c9ac34c57c2261b0bc24b3a0 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: 3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253898 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_3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1_all.deb Size: 24240072 SHA256: 71e7099298c507acfa38f71ba2c7ab3c3dd3ad74f406b365b065f22dbe45df9f SHA1: 6643f0481b2a396cc0f0e525d5e8d87f47327969 MD5sum: 33530ad202e77274a5a9bc5f94be1e36 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: 3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18411 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1_i386.deb Size: 1272256 SHA256: a5b7e5c2dd4184720e2056da72feba65c4de338cfaca2a699b3983c42594f20d SHA1: 686de78ebe3d632c549b670565e2ab98b6438217 MD5sum: 6832e39176ae12d5642bd99dd96ceafa 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: 3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 176 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 (>= 5) 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_3.0.14.20170103+git6-g605ff5c.dfsg1-1~nd90+1_i386.deb Size: 74076 SHA256: 74d68a106fafb27eb218ba61ff514196d2b8142da1b6bb34fc539dcc997c609d SHA1: 16b1ef35c4d207399c7c67f59425f4d87cb5dc38 MD5sum: 3652271c2dafd27cf98a8a98310b555e 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: pypy-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, pypy-enum34, pypy Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.6.0-1~nd90+1_all.deb Size: 95374 SHA256: ee203936ed195763827d1cc9077ed1b7e7acf0909a440f9604a7f322a9dd8bf4 SHA1: 45832805b45fbd5a7d85ecc80af9a9ef7cffdf9c MD5sum: 64c8752be18a78ca2ee5d88917d0d4fd Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, pypy Suggests: pypy-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 112014 SHA256: a5f5d3af25cd067c7ca0980197b468608db58fc66c21d4060a5a499d31d875cc SHA1: 62b064f20bdb52343bfe0e52ebe0025714666e0f MD5sum: 53c459981770a47c2572cd36446996cf Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: pypy-py Source: python-py Version: 1.4.31-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, pypy, pypy-pkg-resources Suggests: subversion, pypy-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/pypy-py_1.4.31-2~nd90+1_all.deb Size: 82240 SHA256: 2a04dea59f4a2e1e22f183eb552127733212d977210c64361cd13a6b2cee3c4f SHA1: ef88d35bd689227bd9a441612668d00bea6cd86b MD5sum: dae2e5593b4cb52bac5e901d432dc993 Description: Advanced Python development support library (PyPy) 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 PyPy 2 modules. Package: pypy-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 644 Depends: neurodebian-popularity-contest, pypy-pkg-resources, pypy-py (>= 1.4.29), pypy Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/pypy-pytest_3.0.4-1~nd90+1_all.deb Size: 180980 SHA256: 73bcd2a5712fd2a73c870628e6cc05840d99092603ad7eb99b4db5d129ad3e41 SHA1: 0807b543982f57ce8134b9c40e34bf1de0eb2423 MD5sum: a81145b7a98f71029d0ab95b602788d4 Description: Simple, powerful testing in PyPy 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 PyPy module and the py.test-pypy script. Package: pypy-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, pypy-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1), pypy Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-setuptools_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 121864 SHA256: a870a5820f95fb19bd77ea8ade8ec02f8fe2468ad1992872b5f86fbd0b7918cc SHA1: 25e39eb583ed85d1e0491293359b01044adb2a49 MD5sum: 58359f2e1a13b28c4b3511d016f1a79c Description: PyPy Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python-argcomplete Version: 1.0.0-1~nd90+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~nd90+1_all.deb Size: 25860 SHA256: 9770b9ab43c4c2d9278efb849353440e401bd6597a145741a41ddb0a7b28ee2b SHA1: 7902f84d52f282728cea4a6593ce5677265a01d9 MD5sum: 669cb251550f489e0a3ddaf00626b287 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 218 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~nd80+1+nd90+1_i386.deb Size: 43284 SHA256: a0c96a10de8291b504ce81fd4523efab1bc325d1983301d0d0be95ac85af5047 SHA1: 15bafd14f9950169f10f3ccc3e2fabc05844c2ce MD5sum: 7f6f1bec0ef2d3e9f7e5449491799c5b 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-boto3 Version: 1.2.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 725 Depends: neurodebian-popularity-contest, python-botocore, python-concurrent.futures, python-jmespath, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python-boto3_1.2.2-2~nd90+1_all.deb Size: 63248 SHA256: 903c68c0cc43c054b23959b39a2bb6cc4b3660258a38941c8af64bdda7464cdf SHA1: 4e7ae6fab994e98b1c6e70f3c017af580582e04f MD5sum: 956985a5cabb4e4a6dad490893ca869b Description: Python interface to Amazon's Web Services - Python 2.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python-brian Source: brian Version: 1.4.3-1~nd90+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~nd90+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~nd90+1_all.deb Size: 401758 SHA256: 26b36aeba8693591db3604ded9e5852ae651a5766193e0bfea7d5aab171d0f31 SHA1: c2f7d445d3c681da9cce12435170627f94cee2db MD5sum: 452096fa5825d8ab802bf5a6f501e378 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7329 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~nd90+1_all.deb Size: 1985698 SHA256: 835c5afdbb4fb11f14d66598ecc38cb5a843a79b3f1bb0dac172168999441e61 SHA1: 8f96312d74a074629b85cd1958684525730613ad MD5sum: 5fbe363a3b8a2cd72948371cd7b9d00b 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~nd90+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~nd90+1_i386.deb Size: 41730 SHA256: 5a73d99a36a76bcc424f025cd9fe6fda2eaed8df0870decc92cfb1140549f872 SHA1: 7aaf4a4023dfee860b5fc04765031004a8767bff MD5sum: 23007fa3a5e31e2daf307f34e14f8c63 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 153 Depends: python-brian-lib (= 1.4.3-1~nd90+1) Homepage: http://www.briansimulator.org/ Priority: extra Section: debug Filename: pool/main/b/brian/python-brian-lib-dbgsym_1.4.3-1~nd90+1_i386.deb Size: 124972 SHA256: a5e968fad57271eecabce7ff6301434bb2bcaa6134e4b6a1814c5b0f310ea7fc SHA1: 2a023d4d0f8afff878e6e3c8ccee979e8a53e813 MD5sum: 587c4f1c9cedd777a88cebcb45b89b28 Description: Debug symbols for python-brian-lib Auto-Built-Package: debug-symbols Build-Ids: 7218b8d9d27c0138bc082b5ad8886b1dbb30c8ec ae07bccddc4ac455b874ef206473440df5188bb8 Package: python-cfflib Source: cfflib Version: 2.0.5-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 736 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: python2.7-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd70+1+nd90+1_all.deb Size: 202534 SHA256: 76cb03a4761b10f0ba07dc6eb4cf60e126c2d362aeaa2f981d1a79003a265982 SHA1: 9129804539bb9895714a6229ae4d56a544bf47ed MD5sum: fd58e3bf366a779d34c534a279c590d3 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~nd90+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~nd90+1_all.deb Size: 80364 SHA256: d1545645e4616ee893390ac616db5525b8b6540f8962c978df9489762081a8c4 SHA1: 0a2c8756cc2aca7f3c4e34da3dec7f9e24da23dd MD5sum: a3d3a59ef819bfaae15b840ea2e0d164 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~nd90+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~nd90+1_all.deb Size: 8662 SHA256: 30037e9a438387a47f50b5d1d066cc01c56d74a9058caa4692d76ccb7fff9ac7 SHA1: 844fcf185faf677382fcb2e8b9632fe858c07873 MD5sum: 2143c9cc6e11f28cf85623860e3524e3 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: 0.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3325 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160808~) | git-annex-standalone (>= 6.20160808~), patool, python-appdirs, python-git (>= 2.1~), python-github, python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage | python-keyring (<< 9.2), python-keyring, python-mock, python-msgpack, python-pyld, python-requests, python-tqdm, python-simplejson, python-six (>= 1.8.0), python-boto, python-jsmin, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-html5lib, python-httpretty, python-nose, python-numpy, python-requests-ftp, python-scrapy, python-vcr, python-yaml Suggests: python-bs4 Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.5.1-1~nd90+1_all.deb Size: 650706 SHA256: 80da160f29c726e02f068b844c5d1568b1336637d76d05d3a34eacc04db308a7 SHA1: c6bdd12daaba2a2d9650cc33c1f366f399d2c46f MD5sum: 88c8f72cf97cce198a27b393b0e7bf7a 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 at neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get), as well as search within aggregated meta-data . This package installs the module for Python 2, and Recommends install all dependencies necessary for crawling, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.6.2+git33-gb43919a.1-1~nd90+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~nd90+1_all.deb Size: 77446 SHA256: 4ae24436da15707dc9c69956c6f774fad589a8d849689a2dbfb65e8f07147dfa SHA1: 21c67443d0d1770214c5126d99314cc99924cc4e MD5sum: 3fb6313f751296b45eae6a83179ae9f7 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1577 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~nd80+1+nd90+1_all.deb Size: 357482 SHA256: 333cc88a2a89e9e497b59c70b4972f54879fc829709837408617f2cba6c05900 SHA1: 7a178766cae90f6a7a7f024eab6064433eb66c59 MD5sum: 5104770e0d0083777c17d5a64d13c8a3 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~nd90+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~nd90+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~nd90+1_all.deb Size: 2434010 SHA256: 34ac70f357cf1a99c5c00d3be428738024fc46a461bc8f2bc428d05ae47c1057 SHA1: b1d213b49ad781ffde642fa70b88cb1848b4957e MD5sum: 7f7b7deb57415276ddbf74efed4d558b 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~nd90+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~nd90+1_all.deb Size: 11464036 SHA256: 6ae301881087cfc7a59e693dafd2dba49d64b96189faa8a7ad8e0985045f46f5 SHA1: bff7e54e3ff6cf34d5c3d943764c8001697d31ee MD5sum: 92cb9e9e93f57ea25ea9a0521579efe3 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~nd90+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~nd90+1_i386.deb Size: 1110172 SHA256: d61c396d1e13bf18bb885b334d2091cb70afc3db8c88607b38089fb31ad44cbf SHA1: 2573d1e59ec799226a14d0f2187d3b0a186d04e3 MD5sum: 68c626f29d4120d20b3762c51d5ccb5a 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6420 Depends: python-dipy-lib (= 0.10.1-1~nd90+1) Homepage: http://nipy.org/dipy Priority: extra Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.10.1-1~nd90+1_i386.deb Size: 5677254 SHA256: a2d724fd10afb6d57d1f6b78e8bb6556b3a9a2466dba19853ef0072f45e70ea7 SHA1: 0c1e803ecffa67b34cd5b0b3b54f951d49dba45d MD5sum: d913956899ae09451c914754d241dedb Description: Debug symbols for python-dipy-lib Auto-Built-Package: debug-symbols Build-Ids: 021a87828916951185a1d02f05c91c5431edebf4 1890ab24a2157ea328332805479f78b6ef60aeb6 214263fe3012c510f920d6e40689099952b6f9ca 29442792836979a69a6293fded37bf18136b71c3 2f279d2ee04536fb2029e0bfabcd2863f07f57cc 3ae6fa00283c630d120f73f5294d18d2277d973c 45848beb2aaf4c962d9d2cbcdf993480505ed9bb 529b9fb5269ced165a218d25af715370203bafe7 54d7b41a3cdd67ac34a4aad6b1cb8df5ad3e6405 5dd24a6083049ec2ad917360b60e4ca93ad292e3 62c8e57d86d0aaa6115e3fe9eadd9085ae0a9f76 63deaaf58fca74c2097a75a416133a6439a92dd3 6954d331463051fb7b0dcc231f9f62995330fa69 6dc171f6e2657f3c00a1df95777374b06a601e18 6f4ad89e89da82000bbf0b63228341ebd82b6a5e 72288208c7f36d1fa2f6f42265a083b346d78c5e 7428ce3d79482b25d7a906e7e6a7be3d660b3b11 8fba44af377d8c4deac8b7e121c599332d33327a 93781c3910fa32e97f399a0b5c95c4fb256b9357 b0adafdf2cf302e136fc3056e8d652e8bcffa974 b2817d524ad8a793e8c020ffc95c29e8230067e5 be4156e2f523bda4f6dd9500bd4d59838e9b8a47 c5c65828154a1db45b28746c82c83816086d37ae dc117a343479e5c67ac28fb1c80be412e6a546b6 faa6935e4e7605775300260c2792bb2ee33949c6 Python-Version: 2.7 Package: python-docker Version: 1.7.2-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python-requests, python-six (>= 1.4.0), python-websocket, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python-docker_1.7.2-1~bpo8+1~nd90+1_all.deb Size: 27084 SHA256: f0d1901b79fc58630bda5fc801f098b6a5147815d269c0fa9ed41fdc2ccfbe83 SHA1: 4170d23c689761aeb807f212e63a84baad5e648d MD5sum: 2da688b6d004c3f4f432fd5106be4683 Description: Python wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 2 module bindings only. Package: python-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python-dockerpty_0.4.1-1~nd90+1_all.deb Size: 10894 SHA256: dbf2e01c9a5e918543e31009dcaedbe9fe64562193d14c400a3fc71cfc878a1b SHA1: b692bcb4358c589adb8e233f413f0f8632f23ee5 MD5sum: 98501c04149da313da85d9b5c464e2ac Description: Pseudo-tty handler for docker Python client (Python 2.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 2.x version of dockerpty. Package: python-duecredit Source: duecredit Version: 0.5.0-1~nd90+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~nd90+1_all.deb Size: 52650 SHA256: 1ed67bf922084af25d254a526e5235e5bd829a4af8fbcda0f76f3e32d5f8c46d SHA1: a0e750b9ba750c8f813b87f3a870aa77969da2b1 MD5sum: 3f1ffb9eaa58a43f0a6cd058d879de27 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2571 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~nd80+1+nd90+1_all.deb Size: 695880 SHA256: 0cd86f3708c27c1840b144158946a886c4c9f95be05b1e066841e2c1c8bb1a14 SHA1: bb870ded3d8999b7897d0952949260de3e7a4f0a MD5sum: 9c3064599b09b61824b028c8da226384 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~nd90+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~nd90+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~nd90+1_i386.deb Size: 47038 SHA256: 586a739e9c573fb2e30e3184a46a806b36f31c15e755fada20d7493cd6f6b1ec SHA1: fc467b719f6a019628f77b33deff790d384f6c07 MD5sum: c45f884d27b19e404e8e06bc595987d6 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-fsl Source: fslpy Version: 0.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 467 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-indexed-gzip, python-matplotlib, python-numpy, python-six (>= 1.10.0), python-six (<< 2.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_0.11.0-1~nd90+1_all.deb Size: 96788 SHA256: 5aa5bc86c67499c54700bd609a84281cf1ee48a8aa03aee22b858ef8bb605641 SHA1: 824818bd8aef8b2e2a8b907225cf6b54f374590a MD5sum: 93721049644ff1890ed5eb2191fc3acc Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-funcsigs Version: 0.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python-funcsigs_0.4-2~nd90+1_all.deb Size: 12994 SHA256: 6819a05f88076e1e5e0ad09d5491099eaed8d719298cd00361956bd56443cdb1 SHA1: 51ef19f3bb68506f11126a3f1c3cdfcabdcb06d4 MD5sum: 508cc525f9e316ee7000b9fcdec6205f Description: function signatures from PEP362 - Python 2.7 funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 2.7 module. Package: python-funcsigs-doc Source: python-funcsigs Version: 0.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 122 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://funcsigs.readthedocs.org Priority: optional Section: doc Filename: pool/main/p/python-funcsigs/python-funcsigs-doc_0.4-2~nd90+1_all.deb Size: 23728 SHA256: d9f4cbc5b1f3099bcdbca3e96cc06d6487ce60d91f39bb9b37b9cb772cc3537b SHA1: 422535a3f75e19f547a18c064bd7a2d6095008e4 MD5sum: 4f7ef3f227027cac50dabdb5b5e3f862 Description: function signatures from PEP362 - doc funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the documentation. Package: python-future Version: 0.15.2-1~nd90+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~nd90+1_all.deb Size: 348400 SHA256: 07482bfed3626a9dddd770d8db61ff5c1ef148d1af33a27c79bcada7aaad1d30 SHA1: a9283aa0f1dcab1137b0ec8904daabbe6560d4c3 MD5sum: 3a9f05bf57a91be288cc8bd42e2ef4a3 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1887 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~nd90+1_all.deb Size: 319712 SHA256: 31effa5d59fca4cd0960b401bf1e5a88366656a98488afcdc43291fcccd7b108 SHA1: 01d0c23dca8a7b18893260980075932666105867 MD5sum: 4d646f0bc2c071a010f34c798cbed74e 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: 2.1.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1626 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), 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_2.1.1-2~nd90+1_all.deb Size: 298738 SHA256: 0f9f8e8722621a8dfbc2a0accd2bbf858ce77ef440da911e39117569def9a310 SHA1: 6c4d3f3688fc63cef2eec237fffb9120e2594d86 MD5sum: 51317959de96dfea0d6eac375874636a 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: 2.1.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 979 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_2.1.1-2~nd90+1_all.deb Size: 127520 SHA256: a678215ffe0b3e8c130dbd03f1dcc9716c277ce12f2b76b2cff43500b4c92253 SHA1: 826aa0a38ed7b7299a4631b3575048f298401fc1 MD5sum: 60940a3767b34772f90793df255c69f7 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: 2.0.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 215 Depends: neurodebian-popularity-contest, python-smmap, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.0-1~nd90+1_i386.deb Size: 46084 SHA256: 097e742923a64d779b58ff9786ce69ebb417873c22d5e1adabb6064337fe16b2 SHA1: b8e44eecdda8217df3f6ca24e08ebd4711b4b08a MD5sum: 22df1ea0f938f76ef9727faf4d37ac8f 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: python-gitdb (= 0.6.4-3~nd90+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~nd90+1_i386.deb Size: 22808 SHA256: a7ec7954196121079c55121dfcb40797763cccafc983cee0ff6d460c3fe0a181 SHA1: 067ba8220058ef514816ee025d0787ae2eefff40 MD5sum: 7706cba7064af5c88db9050359366055 Description: Debug symbols for python-gitdb Auto-Built-Package: debug-symbols Build-Ids: 4b160bd95e5a693d4541e814208c36621929e02d Package: python-github Source: pygithub Version: 1.26.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 632 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.26.0-1~nd90+1_all.deb Size: 44752 SHA256: 266264d0a4dd422b2fe6dee93f107b3f2ed6577847c8e908f29664b974a376e0 SHA1: 5165e3d879ec4937c2393549c09e20668ba30cdf MD5sum: 8bf98cc846d75c56dfdc3a81038c7e73 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-humanize Version: 0.5.1-2~nd90+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~nd90+1_all.deb Size: 12952 SHA256: 258fbf845777c01e6ddb4bcba4e5983c82248711fdd9c67970c1b69215bd9b85 SHA1: d9d3b3067bbb56e31873d92a313462d862e016d3 MD5sum: 1ece0e916f32fe2b842370b94869f266 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-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python-enum34, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.6.0-1~nd90+1_all.deb Size: 95256 SHA256: 3d7438292d714ff3823d21ea11b95fd781b5f204efaf6b8f63941bd5ee6f7587 SHA1: 704d7eb98304c6dd53dfaf06837122a887c0d843 MD5sum: 106cbf017a3ad7deb99ec055115e3722 Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1159 Depends: neurodebian-popularity-contest Homepage: https://github.com/DRMacIver/hypothesis Priority: extra Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.6.0-1~nd90+1_all.deb Size: 163964 SHA256: ab1ffbbe51d0adde5663bff0749669af4afe216f12195671008b58728a4cdedd SHA1: a83289ef027bd69f1d21cf298953af4044e42e34 MD5sum: 9b597807551ef615b4a5366c941492b9 Description: advanced Quickcheck style testing library (documentation) Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the documentation for Hypothesis. Package: python-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7716 SHA256: fa7278a583fb30f2c0f244e46d4176c125e058cfb9440bf00988b098091dfb52 SHA1: c46cec73f8ed98b465cc051e97390f4996bce87b MD5sum: e67938a52dc086acbbea4f392b75b962 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: 0.10.3+git55-g660fe5d-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 488 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pytest, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.10.3+git55-g660fe5d-1~nd90+1_all.deb Size: 115528 SHA256: 7979b0d13aab1ef08bb3811d998dd903b015d15ae5edc5cd0120b07c776ed298 SHA1: 7c5b782455a4c9539b650e48d588625cd7e910f1 MD5sum: 2f65841420126542a137aa9a336f102d 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-jsmin Version: 2.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python-jsmin_2.2.1-1~nd90+1_all.deb Size: 21504 SHA256: 76b9e72c48d8c7041f4486fc61d71ca5aa5601ce66d2b2617e5e2e25e5466307 SHA1: 20302805c177427d896970c224ad475d07dec9be MD5sum: a64d8dd7ca38342a2a75c81400807c15 Description: JavaScript minifier written in Python - Python 2.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 2.x module. Package: python-lazyarray Source: lazyarray Version: 0.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), 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~nd70+1+nd90+1_all.deb Size: 6898 SHA256: 64177357eee6f7ee78eb01dda91c6727c789370851c697165f8153dc784b557c SHA1: 91e0a31cda5c95c4bf1c97a8c20c47db3f00e5af MD5sum: 7441821b3bd04e06759e8a26db5429a7 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1267 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~nd80+1+nd90+1_i386.deb Size: 236582 SHA256: a6606d1b0617518d4f2f02d126fa38bb9a73042e12fac90b5c6d990ccfa9de28 SHA1: 60929a0a58b0788f497062ebcb90c7d0b984afd4 MD5sum: 4cf5ec25133b532ec416f582305691c8 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-mdp Source: mdp Version: 3.5-1~nd90+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~nd90+1_all.deb Size: 277566 SHA256: 4e2e0e0e69030e414855c5c81f7fffb899f3739e7fbdb858a75a8501ba1d225f SHA1: f9967df922702377f0089c8df9af016cb9a330cb MD5sum: 8a3c5afcf54c122b08c7d4b41cca5130 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: 0.13.1+dfsg-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9796 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), 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_0.13.1+dfsg-1~nd90+1_all.deb Size: 4506218 SHA256: e34306d4f8440e0a7ec76cfee27184eb2ab0f01d6b080b02b86af25d8dee903e SHA1: 2b31f9131d52d75a99e2938da50801d542ef9c63 MD5sum: 3919fc556a4b5c339e3866f615b09cd0 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~nd90+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~nd90+1_i386.deb Size: 326406 SHA256: f2a346633c0d6d77668b0189d6f8222b88c7bdfff54aca166661b4eea8144959 SHA1: f37dd1c20f4d649ecc3c2849156cbb7f7d2cbf36 MD5sum: 2d6e61976fbad72b563bd99b10503f4b 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3597 Depends: neurodebian-popularity-contest, python-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_2.0.0-1~nd90+1_i386.deb Size: 933106 SHA256: 8ce7894690399ac695a613c7c14c8962e74d6495a997d85ede40365fb0a0e93c SHA1: 3aee0dd4f29f7ee63c7021ce0e8755ce91eef665 MD5sum: 6e7ca63c1fa59340eab9171e392a21ff 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~nd90+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~nd90+1_all.deb Size: 55420 SHA256: 90022b1d2b6f29244d82401a44b75ed326d56104d17f91c091a9479974497879 SHA1: 828119647eba12d56b281921fc2dbe95624b6f95 MD5sum: 8b30e6af5ec64d0be639dd8bbda8ed39 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 205 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~nd80+1+nd90+1_i386.deb Size: 57358 SHA256: 50672652f28fd4204025ed19ad9e99ec99b3ea9fa4f4c5bf7db4f0e2c5cd589b SHA1: 9fc8618437b1e2159b7944c75b1d1dc7c949e9f2 MD5sum: 551d3ccc814905d3c0e544997f6c7df4 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-lib Source: pymvpa Version: 0.4.8-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy Provides: 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~nd70+1+nd90+1_i386.deb Size: 39280 SHA256: a8affbc010a92c640a72d016fc3dc0c967ac5d03816ac57d51bf0fc76b5107de SHA1: 00c38d532dbd113ad449c31f07ba6d8ae18d7b04 MD5sum: 127a98d926c13bad350e405ef02d5620 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: 2.7 Package: python-mvpa2 Source: pymvpa2 Version: 2.6.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8560 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python:any (>= 2.6.6-7~), python-mvpa2-lib (>= 2.6.1-1~nd90+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, python-mock 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_2.6.1-1~nd90+1_all.deb Size: 5099036 SHA256: ab8a6ccd92266e9ad11c048817d7fffb3ba50c262d4733b2d4a239c648f95e71 SHA1: d43f543a797f142cec10a27d0c10740b424dbe9e MD5sum: e95dfb64b8dfd728dc21d5121b6b21a7 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: 2.6.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36355 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_2.6.1-1~nd90+1_all.deb Size: 4689846 SHA256: b59da91e0e85c753b14610b656d3d415a435e3c51b4200518a5738c55e8a1ec1 SHA1: a436ba99e7d06093022e23b0f94f058c64594f11 MD5sum: 4b40542bfc124d882b0cab825d319560 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: 2.6.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), 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_2.6.1-1~nd90+1_i386.deb Size: 51666 SHA256: 2c0dba41858fd966f97fa21adc74a9d2b31e18abba210d13e7bdc72d07a8018e SHA1: 63293c7e154c6db018100d37b40ca2da629547a9 MD5sum: 65d1ce9cec322c61ddaf4fa594b34b6a 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: 2.6.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: python-mvpa2-lib (= 2.6.1-1~nd90+1) Homepage: http://www.pymvpa.org Priority: extra Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.1-1~nd90+1_i386.deb Size: 83628 SHA256: b24449212f50b9dc22c8c15def3ba158bf8c93212d2123c1d5ef347cbdaebf34 SHA1: 1614b9f1747fb334825fe6b19504115f98f19a7b MD5sum: 7055cca4e70e727bce31504d2a6b5073 Description: Debug symbols for python-mvpa2-lib Build-Ids: 8ca9ddc40ecc86e85b374af2a5958629512e1e77 c7c097a5be0413ebb80e23ed58fe6bd36cd2af3f Python-Version: 2.7 Package: python-neo Source: neo Version: 0.3.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2974 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~nd80+1+nd90+1_all.deb Size: 1383640 SHA256: 7e3b8dcf1a6e7c971437d744c5bb781a34c6272677f9760fd74d262f0f7e12b1 SHA1: 8c96c831525d26230be96771de115c7f2cb574d8 MD5sum: a1c098adc1493d4cd4f12a7c564a5508 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-neuroshare Version: 0.9.2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 80 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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~nd80+1+nd90+1_i386.deb Size: 20830 SHA256: 53a4768b8876a656938a34c20407ed4d3a044acf3875c552cf3e6c4df429f8be SHA1: 81c31015ce29c925d00fe8d7a92133b795d70403 MD5sum: 74c304e4cb7ddd2cbfc9e3ca7a2cd5a8 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 271 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~nd80+1+nd90+1_all.deb Size: 95554 SHA256: 2ce47764501482655bdadd0c5e71fb26ef3652e141cc6f493fa897afaec80e93 SHA1: ec00e3c7a84c81e3a4a3eae42b249b0aeb16078e MD5sum: 02d7853bc814b8e6df159b51b2685b81 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-nibabel Source: nibabel Version: 2.1.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64222 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy, python-scipy Recommends: python-dicom, python-fuse, python-mock Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.1.0-1~nd90+1_all.deb Size: 2171874 SHA256: 8c82eee2d63247f9d7b8d0754fb0f82e12278198a0ce536d215d259391fa30d0 SHA1: ce5042185baa7a05d6a7046c5c4918c7fbfa34b1 MD5sum: d04716dfd6505194986c61e22ba4944d 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: 2.1.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20479 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_2.1.0-1~nd90+1_all.deb Size: 2937196 SHA256: 3ae770a1a1066a1cf17b0df94f35f178ff21b238adfca234a54cc4cb20f7aed0 SHA1: 97918a1bfdf422bc64fb035bcff84dd56d7b61bd MD5sum: 0b9588061665b3a1fbaca12fc53e6e76 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-nifti Source: pynifti Version: 0.20100607.1-4~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1140 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libnifti2, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, libjs-jquery Provides: python2.7-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd70+1+nd90+1_i386.deb Size: 256128 SHA256: 7ffb07c69498b8202f4693e81a1819b9830283719acea8330c6dbba0986aa864 SHA1: 19e894f350a4b63337c4f4948620ed9f86697b9b MD5sum: 764588759f38ca5bd1da70b59e57b20c 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: 2.7 Package: python-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2422 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_0.2.5~dfsg.1-1~nd90+1_all.deb Size: 730970 SHA256: cdacd3f8857e30e08add6b1a8c317c02b2446fdf39be9ac68ec19560f868fd63 SHA1: 3ea915f29eeeaf1eb21a8c7fb1a1f6d16fbb617c MD5sum: e4d4a05c9bf06a364f19a566288f4d32 Description: fast and easy statistical learning on neuroimaging data (Python 2) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 2 version. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.4.0+git26-gf8d3149-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3278 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.0+git26-gf8d3149-2~nd90+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_0.4.0+git26-gf8d3149-2~nd90+1_all.deb Size: 738250 SHA256: 55fb4a19a8124bda8d0c667f3cf74a51df20f1a831394b9cf00870cb96f8dea5 SHA1: 0b3a050563548a527684e662ad480824ee846ed1 MD5sum: 32fca517908fecb5a5f986ed4b984e25 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: 0.4.0+git26-gf8d3149-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10786 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_0.4.0+git26-gf8d3149-2~nd90+1_all.deb Size: 2895966 SHA256: 27ddd24f7a8854c587a17cbae5b5f8f2c031389c96311aa72a7294c45f230620 SHA1: 4ac68930f87ce9fae4d8e574bdb0dc0cb94e0d96 MD5sum: 9cac5cfb5c8f446c24c5410471609658 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: 0.4.0+git26-gf8d3149-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2829 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.10.0~b1), 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_0.4.0+git26-gf8d3149-2~nd90+1_i386.deb Size: 580626 SHA256: faab1c522af071ee47862593c858f3f45c87d3dd7a54c4f2a1ea7be1c90dcb5a SHA1: eb8e20a19ef6cb4ca450280c4cb7a7e2936dbed4 MD5sum: 3068e2f035c049dff2c55d2f52829674 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: 0.4.0+git26-gf8d3149-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3159 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (>= 2.7), python-dbg (<< 2.8), python-nipy-lib (= 0.4.0+git26-gf8d3149-2~nd90+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_0.4.0+git26-gf8d3149-2~nd90+1_i386.deb Size: 447592 SHA256: d4b04bd81ef3cca835c589c81c59bf0303c3ffd25ad05bf14638a5e25bee7451 SHA1: f764f9ed1c342ba29c6088008b9318ded2f4e033 MD5sum: 10ec103733322416b791ae5e7518a88e 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-nipy-lib-dbg-dbgsym Source: nipy Version: 0.4.0+git26-gf8d3149-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1205 Depends: python-nipy-lib-dbg (= 0.4.0+git26-gf8d3149-2~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.0+git26-gf8d3149-2~nd90+1_i386.deb Size: 803828 SHA256: 0a9325e8fe576ddb977abe2a60f2712d38db67cd4f1b3f01f503adfc53e05b36 SHA1: 2141eb6fdbd9f426f282ed8f7814508ad9308775 MD5sum: 4a28563861c8c14ab97e1d8692426ee3 Description: Debug symbols for python-nipy-lib-dbg Auto-Built-Package: debug-symbols Build-Ids: 101ddb21b7b91c8e9d305a6bc9c51ec620d168ca 21f5225fc36c09d865816a655d84cc2bf2c00fcb 36f4faf30f2a5e73c106615fc8071ba2b5cf22c3 397147e644e0a2c0b320bebd8c7a53429fdb6046 408d1a840f4b909006da5afad8eaad38723fc150 856fe644336f8de12f248911d1f9fef63f38efde 8c264ff61d005f5d204a9e82153259d34e196481 933933a6f3409ffc20f1aaafb48b508bfa92fce3 a213112434b748339857a7948352e977a0cc76f8 b65883e53cb90b903a9912d8a876a4be42b57f10 c2f609854043cd4934410a1c94e5bb7149032e10 d5ad7ed65c48c41e254c4bc81d6cb96c8e9cffc2 e13ceef94baf329f74fed60f8182e347739509d5 fc187495c0e69781a65ce60172f182cd5990659e Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.0+git26-gf8d3149-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2127 Depends: python-nipy-lib (= 0.4.0+git26-gf8d3149-2~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.0+git26-gf8d3149-2~nd90+1_i386.deb Size: 1814304 SHA256: 259e2995ffaa64b359ab650133be040eff5e798e0cbb2369db67977164fc86f7 SHA1: b053fccef2fe9644bf66427ef03487e8dfe88195 MD5sum: e5eb951a0f53c88f0d6a47d714d36fe9 Description: Debug symbols for python-nipy-lib Auto-Built-Package: debug-symbols Build-Ids: 0c21863575fc30235f1fd301d681a1aa0a9345c6 3472dd37811a073140dc626f23a35d8cf103d4a6 36a28d8ad3e392366ff91ef82f9e62d41d1b7c85 40de624b645f861762e7dc670fcc1dddab23163d 443411e86597ccda7227804a6c53a2bbf1f11f67 4f9443833ac7aa490fa70cd0af6aafa045743c33 6d67cc3d44a7a464d5ade14944990a11f54fed36 8bf3c3acdbbd0d0c74dba769b2e16cfc4ac6e357 abe5bf01fe0a7499b251632f0466170654981174 b8a91abb9389fe4acd1bbd20c61dcc30d3d3573a b8c023de3028cdb6bd64042683388d401339cda0 dd2ff7518fc1886a14c4e2637c3940fd7785690a e7ba9187c4417db335cca9c3a76b830d2eb2be6b e9d6d04de19f2f07fc156778c4c68bf8d5aa7993 Python-Version: 2.7 Package: python-nipype Source: nipype Version: 0.12.1+git4-gbc3a0b5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9364 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-scipy, python-simplejson, python-traits (>= 4.0) | python-traits4, python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-cfflib, python-funcsigs, python-future, python-prov, python-psutil Recommends: ipython, python-nose, graphviz, python-xvfbwrapper, mayavi2, python-mock 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_0.12.1+git4-gbc3a0b5-1~nd90+1_all.deb Size: 1532898 SHA256: fc23f92d460a0e5f8498d1fc3c2df7b0476c9fe26684a1268f2cc4d6a3d4c613 SHA1: 1cbc2b5ccc713e6dbd4e3b761b24685fce8db40d MD5sum: 6fc00dc567ce4c5a1fc98f2fd412786f 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: 0.12.1+git4-gbc3a0b5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31699 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_0.12.1+git4-gbc3a0b5-1~nd90+1_all.deb Size: 13192998 SHA256: 400bf67371cc9db5bfb4cf2b6ca8c61828157d024beb6f3c2ea40e4f06091a82 SHA1: 4e71cb2cd2b6a01a7efb6c31983ae9c9fa09a875 MD5sum: a589c2779f47d15e0f830b6d617facd0 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: 0.7-1~nd90+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_0.7-1~nd90+1_all.deb Size: 2541578 SHA256: a4f115af35854dac381881783cc9ebfd93a0f027f10732a661e7acbabaf599c0 SHA1: 0d2f82c0a6dae42dfa180f111e8adce3a2e2de3a MD5sum: 2a48c69fa2a7f2fe9c641043d3bb20f0 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: 0.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6913 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_0.7-1~nd90+1_all.deb Size: 4823226 SHA256: 0c89c6cad18d374ab68adfe1a86c590c2d5b6915f3bfb217371828438ae2d3cd SHA1: 710ef4c80450764e923b2f23dd36f9453708e5bf MD5sum: 66370a3998374943a6c2a326fe6cc192 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 262 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.8.0), 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~nd80+1+nd90+1_i386.deb Size: 68336 SHA256: 9b14a0c0eab6c72a308b8cd5490839c08b69a0ba796069ac2543ca7ff236fd8c SHA1: a214ec92a61dbace8f1f331c04a6d44a0a86abfa MD5sum: 4c4fa9c09a55e4559ed33a1d00395529 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~nd90+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~nd90+1_all.deb Size: 5124 SHA256: 0690e2f53e965d973b5427bf4a5dfb5199bb9868e33fb2ceefff034936546db0 SHA1: fd93ee50ff6d54caef0722f9db35460dc06d145a MD5sum: 56644cbe0eef91d6c280ff1ffe1479b4 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: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 468 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.6.1-2~nd90+1_i386.deb Size: 128340 SHA256: 4ec9356e2e0e5a422012f68c4bbe1c9ed071a8d2e9b4475279d70e2548878d09 SHA1: b09f30f4e5985ac048b888b6baeb51d71a73b9ae MD5sum: f30a0a1a14d8735e3aab8f0fb2bbdc69 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: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 338 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-numexpr (= 2.6.1-2~nd90+1), python-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg_2.6.1-2~nd90+1_i386.deb Size: 97324 SHA256: eeae2c67479429e43521d19d2e1d75f4b83aef7aa8b1da1a5df54084f831c8a4 SHA1: 339d6fb609aecda7022f101c348eec6936e75ee2 MD5sum: f0700a35480abfa6f57b7672dffa05ca 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-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 242 Depends: python-numexpr-dbg (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg-dbgsym_2.6.1-2~nd90+1_i386.deb Size: 213566 SHA256: c9c08e87b0929084bee9bc4f27f9f89e996e3566c6ff7710b52f3e1aa90c81f5 SHA1: 28c2e9412af9df5a6e512c95537673636dc7ebc8 MD5sum: 0a83da1179fd9a96d13fd6fe2f202225 Description: Debug symbols for python-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: 0c150be71a94017eb456b459e57b980d33829190 Package: python-numexpr-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 239 Depends: python-numexpr (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbgsym_2.6.1-2~nd90+1_i386.deb Size: 210900 SHA256: 51a84430b090d29225402d8ba09cb127aa3a62535e865c44a70c803c96aca450 SHA1: 028673d4e8ae67f45d9cf967f3ca6fd97bc1490a MD5sum: 761f579c91b02bc28ff28cc9ddef43cf Description: Debug symbols for python-numexpr Auto-Built-Package: debug-symbols Build-Ids: 876f0abb64bac1b4ae30c9a8b47ce1e825d7fa10 Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1065 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: python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd70+1+nd90+1_all.deb Size: 179826 SHA256: e289031fd70e3234dd9bf775fda6ce9332235b63580fc3f21d95f5bf7d2ae59d SHA1: 0b6e1f2a56ea52c4ec110effc58bdb067c8a9887 MD5sum: bdffb8b3128e6731bf3a3af978b2667b 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: 2.7 Package: python-openpyxl Source: openpyxl Version: 2.3.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1325 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-jdcal, python:any (>= 2.6.6-7~), 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_2.3.0-3~nd90+1_all.deb Size: 199126 SHA256: 5e499cf33b11ee4ec163c3fb6bcaf62aeb04bdac6ef122e205a81eaa68f6c663 SHA1: c7a0f2395f75c6ab8023647fc308b53d3f84b259 MD5sum: b22aae3e4c988741093bcbcaf48ad37e 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~nd90+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~nd90+1_all.deb Size: 17204 SHA256: d00371df4d5a73963138386d93de0bafa8cb2722c0851f7694c249f7fbaa76df SHA1: efb06ae7d0a596e847ce8e9930a285b61a68efcc MD5sum: 95b08012df65ef3a2f60e3502382bd7b 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: 0.19.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25229 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.19.2-1~nd90+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_0.19.2-1~nd90+1_all.deb Size: 2614010 SHA256: 02f0b6e3b2ac40fb2e50c093f90cd7dbcd73c2ad8ff4027b240ef2567ae59b22 SHA1: 05b73131e2d0b45372bd265caa604e4e11ba4399 MD5sum: adab889c9ee2cadfeab34af912b71c2d 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: 0.19.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56882 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_0.19.2-1~nd90+1_all.deb Size: 5061814 SHA256: 6e9b313b2238d8fd961d7772282ec2ac7ffe948fb7b309074aadc3f22225d942 SHA1: d89381717460139462890357f7a50a242946afe9 MD5sum: 6db0440407276d8bcea3d921b8eb8424 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.19.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9342 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 (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.19.2-1~nd90+1_i386.deb Size: 1954050 SHA256: 0a32c2acdd3aa749a46626d30a5ebe98d9ede73171a33bff4aeafb89bb066961 SHA1: 929d8084efd909c6c469a102e8dd81b2174df27c MD5sum: 23415878cd7b1f72a2df1c74a7480e1f 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: 0.19.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7737 Depends: python-pandas-lib (= 0.19.2-1~nd90+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.19.2-1~nd90+1_i386.deb Size: 7063242 SHA256: 86a2efd867aa170da418280342af753f83c321f470d8f5eae15ca76b4f8e1c58 SHA1: 704dc367ef942cf6767023e304470a9ba781b9ea MD5sum: 6819b6530300eec57d45b3eed39c30ef Description: Debug symbols for python-pandas-lib Auto-Built-Package: debug-symbols Build-Ids: 06bcc940b8907b6077b88f2c5bf16650030b3a54 0a9096883671a5e33b044767e396c3b46b717ad1 22e135dd41677beb41fa5f24b7e9334f043c32f3 4313863ed806edcbf03cf7e490e75af8db5c179f 4dacd27467488180ebb08d6670329ff55a8b29d5 7e8295e6f2f2c649e6ef5928768385bb382a2823 826dd6b53d0a10dfcd89b5221c6f7e1e42708221 86b944518246e566a156a3d4b7fcca0bf29b021f c7024408f738440bcba9147f65de0bf617057280 c985819fb780209d626eee39075e51c008d2dbaf cf490bf96606bec2c35c030eef4cff59d17a4455 e139c80c43a332b12b0525f3284cef06ed81e90a e7c407d3dbf2513cc2f7ffb68da9553656821319 f1fcf57162f4e982dd50fed9b8cf656d7b8fb8d3 f63cfcbfe28e4d9e165a2fee3222b001e63b5e54 fd8634503b24b6ea4fcfb024a280cc1c960165e4 Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 783 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), 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+git34-ga5b54c2-1~nd90+1_all.deb Size: 171532 SHA256: 457750f530aef9ae62acac7f6659459178c76812ddeef5c02a71ea18e8cf0e75 SHA1: f97afc61a7da7803b36a8d85d1a092a2cd72d191 MD5sum: 6b0fee881020e6d1a28d0e515a799737 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+git34-ga5b54c2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1426 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+git34-ga5b54c2-1~nd90+1_all.deb Size: 364526 SHA256: d8a2c44193bb061863847e24218e70c6c346e586ac8a0c599aec10a63d59342c SHA1: 686374cd05a79c78e02a211c6763823ccf73a265 MD5sum: d1607091dc8ccd22e4e32a8661ae8550 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 441 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 141364 SHA256: 85ae24cd50ed92fdf65c36348158559c048a2d73fc46bb4ecce5f43d376e6560 SHA1: b35b615d96e1d173498317d88db017a3efabfc89 MD5sum: 2e9c768b5e36bdd4af1bbd37b574b00c Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python-pp Source: parallelpython Version: 1.6.2-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 143 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~nd70+1+nd90+1_all.deb Size: 28994 SHA256: 9d2b9bc5a9f1f2f7ab2c1f65d14edab85d349c71f7c32d5b03a8a84752927571 SHA1: 9a77e4793d44f572146a67eaa8af06f5e2be9bc4 MD5sum: 7b25f8fbdf69d07695113ddb51235f8d 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: 2.7 Package: python-pprocess Source: pprocess Version: 0.5-1+nd0~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 758 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~nd80+1+nd90+1_all.deb Size: 81664 SHA256: 5327d46e6e8873ff262f9d40181b5169ac4a2173b18c195b572732169a7dcce2 SHA1: 4e7bc21bf1dadeb4014e694348397dd906b8cff6 MD5sum: cf0bced2928e4ed9c897e2a3c2d0afac 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-props Source: props Version: 0.10.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1_all.deb Size: 117296 SHA256: 8f9542c38da832e29d01b686c08de47fe34acca80a9170d99762fdb5a902f1d4 SHA1: 0dee84c93fdc7d6e81dca28530b4c1958a128d66 MD5sum: 0405beb611db04ddcc77e9c06318733e Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-prov Version: 1.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1235 Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-prov-doc, python-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python-prov_1.4.0-1~nd90+1_all.deb Size: 69978 SHA256: b17317818aa8c5f6d10cb506bd3bce466fe623113717c1b22b41e01bc9fe1e59 SHA1: 037aa4eba4d76a28256ecd2e854a813f15f18b67 MD5sum: 78020ceb3e7c9add382438a40bdc405e Description: W3C Provenance Data Model (Python 2) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 2. Package: python-prov-doc Source: python-prov Version: 1.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 814 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.4.0-1~nd90+1_all.deb Size: 69202 SHA256: 7856d34aed0bc6577a90acf9afdd634d3abbf5a4a05f3a70a3f141fe1b7c4704 SHA1: 5ccfd16ffe38f1a8bb12d4a3f8c16d6045c98cfe MD5sum: eb33dea6f8a3f77d9de92267c3ce28ec Description: documentation for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the documentation for the prov library. Package: python-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 576 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python-psutil_2.1.1-1~nd80+1+nd90+1_i386.deb Size: 116630 SHA256: 9e22dfd5a4aa79d73d73ab985dd72938c77238807386109a860ad993b8850a0b SHA1: 39492a4b458daed1ffe9037c405e37dbbb31bf46 MD5sum: 2adaca853f02b315d7f69deccecd4085 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: 1.4.31-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 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_1.4.31-2~nd90+1_all.deb Size: 82202 SHA256: df2d0cab2503956a9d104bc43ec7714addb66d64fdc8149fb8257d7af8b02347 SHA1: 140a63aef16d99e1a670df6d6d5eb35eed88dd57 MD5sum: d27228a2ede59f4d8a7a55f2fcab5ccd 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-pydotplus Version: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-1~nd90+1_all.deb Size: 20184 SHA256: 464fdedef8ab27aaa539997a442331fd9f74d6e755c1cf0574327ee747be1f29 SHA1: a8d02127d8cdb722daf5f7605ed862d0736e3a8d MD5sum: 03d4c63edf292e80f33186689845dc01 Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 531 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-1~nd90+1_all.deb Size: 47430 SHA256: 3fcec4e006dcaab3ca802ff71a7e9b29f52ed1dbd6e9bb17c4f20ec6a729f02b SHA1: c5c277d61978ee1386fc7214be28ba02d82018b6 MD5sum: c7ab2fad29aa68c1386b1d34d77afb72 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyentropy Source: pyentropy Version: 0.4.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: 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~nd70+1+nd90+1_all.deb Size: 19484 SHA256: 90a65872dff84dfdd9080faae4df963e355d03c4f5c818b6dee37ae7265c8dd5 SHA1: 41cee054cc47be20e73203718874a5aae00fc35e MD5sum: e90627411895dd8862ef69d2670d0968 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: 2.7 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1409 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>= 1.0.16), libc6 (>= 2.4), 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~nd80+1+nd90+1_i386.deb Size: 273972 SHA256: 914905818c47be26ec10de40c62597e328fa3be658cb2d2f944731e040fdafca SHA1: 49349917ba6845074ebb71f9b365788b7690f722 MD5sum: 2d100812a307d7c0c5e8c162ec6a0de3 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 822 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~nd80+1+nd90+1_all.deb Size: 819326 SHA256: 3bb7c4a8afd71f527affe1dc9fc35cc8767aebfb4a22ca35c975346202ccfd15 SHA1: b65162864b6ef1f6b6f21f3a81b7221a8d9f5e6f MD5sum: ae5bd1ef9c1dcee42bc9e64308126c62 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-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 390 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libcdt5, libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python-pygraphviz_1.3.1-1~nd90+1_i386.deb Size: 74944 SHA256: 255379aeb19022353f1a0bbae74d6173840a79887f8a92de704e661198451159 SHA1: 640145037fe3f23d96152f739e1d501eceacd658 MD5sum: e9530ba5b39894e7079701a2e9ecbecd Description: Python interface to the Graphviz graph layout and visualization package Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. Package: python-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-pygraphviz (= 1.3.1-1~nd90+1), python-dbg, libc6 (>= 2.4), libcdt5, libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python-pygraphviz-dbg_1.3.1-1~nd90+1_i386.deb Size: 103294 SHA256: d6799f5df94a872f58ba0a9bd9a9f636ed156e79e580269dc28c2b6c9824301b SHA1: 08ebc9aadd82e9b40522c232f3f4c9dcad541049 MD5sum: 08e7c662cec2bb03cdfda410adbae187 Description: Python interface to the Graphviz graph layout and visualization package (debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python-pygraphviz. Build-Ids: de0516179a91f057a29f17181cded67a00c38a10 Package: python-pygraphviz-doc Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 316 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pygraphviz.github.io/ Priority: optional Section: doc Filename: pool/main/p/python-pygraphviz/python-pygraphviz-doc_1.3.1-1~nd90+1_all.deb Size: 68270 SHA256: ce0105e88b9f49e39f9a76e3ce1ab3dbd46ace0428352e9e5fd0e7f5fa312294 SHA1: 57d5c953c138c4d943639db0c49d1d5fd5b7e4aa MD5sum: b8164fbcc0bda1288c939d3ab19408f9 Description: Python interface to the Graphviz graph layout and visualization package (doc) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains documentation for python-pygraphviz. Package: python-pymc Source: pymc Version: 2.3.4+ds-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2712 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~nd80+1+nd90+1_i386.deb Size: 526532 SHA256: 93bbc2d0cc6305d4b091beae807dc7f6c6175078c83cbdaa31ad6782b6cd3cf7 SHA1: f0e88860d4186c881b3ed991af7775863aeb0b4a MD5sum: 2afd9f51f892697633ba5d87bb64044e 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1894 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~nd80+1+nd90+1_all.deb Size: 839788 SHA256: af2ce4bafd9fe4585d82802881bc4a1ceb28e9076d529d7cc57ac90478281dd4 SHA1: 9f2d1b73a0c55bd49be8229926cc64a9e63a88e3 MD5sum: ad1e1963e2b23c06beb3c6fa20c513e1 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 832 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~nd70+1+nd90+1_all.deb Size: 137374 SHA256: 370ece10f2dd605fc721d1d7d7efb38db0d4c150a969f9a7788b0a18ac0d2eaf SHA1: a9207324cee6efc6f2830f3af2faa6a2a930d723 MD5sum: fe3284f568042b1fe19972884b23c76a 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-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1564 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), python (<< 2.8), python (>= 2.7), 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~nd70+1+nd90+1_i386.deb Size: 334146 SHA256: 0e8a279c8260b6ac9d12485a92958ae9b5734138dca512d230ef84a93319d17d SHA1: 0a037709d51dbb308bf59c2a51da5e71887fb2fa MD5sum: 2b0594e89ad065934d5807da44d0e615 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-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 649 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), 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_3.0.4-1~nd90+1_all.deb Size: 181360 SHA256: c05fe93e82dd77732eb4db0a487c8e9292f866a314ebe6694ac0d55fea830386 SHA1: 4558ee533529915d739f7ea8bfff8086f21e5a08 MD5sum: 2c9ffd13186ec25ab4d1e799d4c1abca 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. . This package provides the Python 2 modules and the py.test script. Package: python-pytest-doc Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4029 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_3.0.4-1~nd90+1_all.deb Size: 668244 SHA256: aa542a508278b156b38e3b81aa6dc84c5e7de4fb0c5055fd289dae3d67fb5f32 SHA1: 8d47d22442d169d0e8b44abc8ceb4659269a5c6f MD5sum: a7c77fb8bddce0d8cc1f71eed6b55c1e 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: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18152 SHA256: 09ff67eba0f36d2f5bb0a405300bd4aa4315eb9a75a9fac48fd57a187c9d64f0 SHA1: 71b04f6861c66ac85684d5c7f0b0d233a60ff8df MD5sum: db59b4614f943159b2537882aabd2474 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~nd90+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~nd90+1_all.deb Size: 5658 SHA256: 2baad3999ed0fc99b2329ebc1285fb06d5a94d4dfec4d619613979b24eb68a26 SHA1: fbbac0c1dd798a073e540e8f99e02174beb1450b MD5sum: 374e5ad6bb5047154499315f47d46017 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+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 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+nd90+1_all.deb Size: 10358 SHA256: e2db09bf0e002d89bb3690e59e5bc46747809822675915da6e28646cedddf5f2 SHA1: 431b7f4e71d4a33d6687832ccbef84848c4fd2bc MD5sum: 93daf5487203df271ed363dc65e968d0 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-quantities Version: 0.10.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 321 Depends: neurodebian-popularity-contest, python (>= 2.7), 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~nd70+1+nd90+1_all.deb Size: 51442 SHA256: bfacf89e8ba78fd59315adc47dd03899f4b4594354eafbb38bbe186128958b1a SHA1: 53773551206da3c1249b9d38cf0ee65a40b9d6c4 MD5sum: 5e0cd9e39a08b2233b4ede2ab7e5eb72 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-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1 Breaks: httpie (<< 0.9.2) Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd90+1_all.deb Size: 68126 SHA256: 094d7371fc24224c5a7154253bedaadd34434a7c179b685584d3eb3f38a7248e SHA1: d9624b06e7a34466ab6e84f06daebeadfd5da98c MD5sum: a1fc25b7220160bc9b568047cf47fb44 Description: elegant and simple HTTP library for Python2, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts Package: python-requests-whl Source: requests Version: 2.8.1-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd90+1_all.deb Size: 319000 SHA256: 282d574870ededacc41cbe0bd9dae53dbef823fb008648e1523c28a619fcc1c2 SHA1: f31529135a1be6c39a367e2b5a231df67fbdf9d1 MD5sum: 603f97ee395db5bb1cbad9bbba16fc54 Description: elegant and simple HTTP library for Python, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package provides the universal wheel. Package: python-scikits-learn Source: scikit-learn Version: 0.18.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 79 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_0.18.1-1~nd90+1_all.deb Size: 70618 SHA256: c216f4e1da68150ce0e45d9ffe4ffc7738ef3592ce08e11260f8b95da1ee8343 SHA1: 61ca947a5cfe548b715f2f1e305b48f700066a88 MD5sum: 3e3aeed5694607fba7da24493ced1698 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17 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~nd80+1+nd90+1_all.deb Size: 6130 SHA256: 14c152e3d33f957bbfb131feb4b7f3b7635e8c951deaaa0bc14f4f61e201dd5f SHA1: aa7c9553756ceae24e09c14cb0896f3c2f47c7f0 MD5sum: ea75505ebffde41bf933adf8b994a3a9 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~nd90+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~nd90+1_all.deb Size: 175836 SHA256: 4260fa520a995cdba1e0ef7a93e2012685b6ba641c452aca4a16c62c13cf23a9 SHA1: c669cf541b6215f69a418a8c24b8fcc1a2b1535b MD5sum: 1e24fc66d2270804340c78ef55b335c4 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~nd90+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~nd90+1_all.deb Size: 1540304 SHA256: 3680a439513ce144108222c9ef83853e240c9e58b9e635527309a1ff6079ebda SHA1: ace8165525e67c38faac44f433dc390ed3d6b231 MD5sum: 2c46c761285144e992af8ec8b0aeba62 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: 0.7.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 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_0.7.1-2~nd90+1_all.deb Size: 128148 SHA256: 37a2320ba41067e6f3cb1524153c851de5ddb845594905decc2ed3eb7365070a SHA1: 6f4217b29b78731736e7e5e443bf02420b0d9a9e MD5sum: 8b79cd79eeecc50beb9877bc899d8353 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 Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, python-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools-doc Provides: python-distribute Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-setuptools_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 202882 SHA256: 01e06afa9bed6d067a83e9d567524ced6d681fa2d4adf9cc8e749b106a9ba668 SHA1: 83064a27397b09226b86ff44b50b4bf0a808a30e MD5sum: 9f0904b6301d6dda919b0c965d8332bb Description: Python Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python-setuptools-doc Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1151 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: doc Filename: pool/main/p/python-setuptools/python-setuptools-doc_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 200342 SHA256: 5fc60cf7e9b042ef70252ba57cc61a46870d372a4247dba41128b4469591555d SHA1: 53fef49a979c75d0f5650649d098a435b4f2a6a5 MD5sum: a7025d38e45d90dc43319fd5a27941eb Description: Python Distutils Enhancements (documentation) Extensions to the Python distutils for large or complex distributions. The package contains the documentation in html format. Package: python-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+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~nd90+1_all.deb Size: 11450 SHA256: f58c242f4adf132cd1dfa7bdcb70cb88bec6b5af319d005d4398abfc1104952b SHA1: 704b1c46a6f49ee40904d9f0137bb013f88e6983 MD5sum: 91e7cb0fbfb78d34485684539fca493a 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.7-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd70+1+nd90+1_all.deb Size: 9264 SHA256: 15a747617db233795675c1aa67ca9de17cd9e13af6912664e0b88eca1ddc6ddf SHA1: 94c949ff1fa89b6d155fa03308f301354c498766 MD5sum: 8594dcbe5f67eccd178894087d1d54e8 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. However, instead of using specially-named methods, these generic functions use simple lookup tables, akin to those used by e.g. pickle.dump() and other generic functions found in the Python standard library. Package: python-six Source: six Version: 1.9.0-3~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.9.0-3~bpo8+1~nd90+1_all.deb Size: 13800 SHA256: 8530c3e58e97e2c76ff67f6400b3e335c89f48f69533718c7127fe73146b7f8b SHA1: 93f6ecba506a59e335b1eb73d0b651a6ec98bcf8 MD5sum: 1cd28c124dcad7f3f2e8808357337703 Description: Python 2 and 3 compatibility library (Python 2 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 2 module path. It is complemented by python3-six. Package: python-six-whl Source: six Version: 1.9.0-3~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six-whl_1.9.0-3~bpo8+1~nd90+1_all.deb Size: 14070 SHA256: 923b4ed69614fd0ade8375e3d07d912ac516bedf8001c82935a25addfb890e3b SHA1: 75ddd3467b2e6bf4808f11965d7629707ddd55b1 MD5sum: 3bf5284c215ab22af0423fff495f2a38 Description: Python 2 and 3 compatibility library (universal wheel) 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 as a universal wheel. Package: python-sklearn Source: scikit-learn Version: 0.18.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6609 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.18.1-1~nd90+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_0.18.1-1~nd90+1_all.deb Size: 1392308 SHA256: 0d99d9f8d036e9e71d877a1686c461503dfb9470f2bd96961563d7560ac17049 SHA1: 81cdcd6062da569cbc1ab20d5b87af574a185be2 MD5sum: 603f928b3bc18b194c2fcfe527062990 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: 0.18.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29694 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_0.18.1-1~nd90+1_all.deb Size: 4726712 SHA256: 24084fb401c8f4a45c71b721e1610c85dab1f600911825cb149bdabf022376b1 SHA1: 6622fa19c06318ecb920a323c5460c7176d50de6 MD5sum: 9c3ff8fef21f6935a4220907d574c596 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: 0.18.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6344 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~), python:any (<< 2.8), python:any (>= 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_0.18.1-1~nd90+1_i386.deb Size: 1294932 SHA256: 26e1b2700c1725a6585b80dd796128af8edef335c39dfefb5176cfa75f015bbb SHA1: 1651b0f38cdb17bdfc1288e189162c646aef0be5 MD5sum: 61281282baf18e04eaa8e0f55ff3a20a 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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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 2. Package: python-sphinx Source: sphinx Version: 1.0.7-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3602 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~nd70+1+nd90+1_all.deb Size: 1039184 SHA256: c0343e0061b8ee91e77c7ae4929f848936635d296d62555c27663d36bef902c1 SHA1: b0ebef92fc597a739bc948e7cee12df496a8aefe MD5sum: d1a38c525e04f208e5c87ceb4cbb58a8 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~nd90+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~nd90+1_all.deb Size: 117144 SHA256: eab67c48e24b93cff0b649e5a427eb10c52aa359d3a4fd74ea6cd4b069a9e95c SHA1: 34abec450f80ae0621d2647f38fddacebc0e09ef MD5sum: cc42c408e9505fba4fe618b6df197db5 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4197 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~nd80+1+nd90+1_all.deb Size: 1647356 SHA256: b4a2d401e100aa223d1cd764287958b07aae66471c4bc8b0f81cb56b4592f175 SHA1: 29ea7e0b238e8c437fb77ce4c5a77a910856a7b2 MD5sum: 46e38b5131ab14d5811e5b6e8ecfe690 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: 0.4.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2094 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_0.4.2-1~nd90+1_all.deb Size: 308630 SHA256: c56f8e2d1a3184c8bda97a917bbad50ab1fb0735e6847c750162788c553ce69a SHA1: 61fc54b1b17852300f5e9191ba72f8b9fe314361 MD5sum: 451f10b232b5ac99eb1add45a414c099 Description: utilities for analyzing electrophysiological data spykeutils is a Python library for analyzing and plotting data from neurophysiological recordings. It can be used by itself or in conjunction with Spyke Viewer, a multi-platform GUI application for navigating electrophysiological datasets. Package: python-statsmodels Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15923 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-statsmodels-lib (>= 0.8.0-1~nd90+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_0.8.0-1~nd90+1_all.deb Size: 3316852 SHA256: 95315fadb36ceea8237b8e1e538412c4008d5854cef64a49a90d92fdb68a74e5 SHA1: 19d05ff41d376db80de12846b4311dbc7894665b MD5sum: 24094d77c65f7fc8e60d7719bb3e0861 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: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54543 Depends: neurodebian-popularity-contest, libjs-jquery Recommends: libjs-mathjax 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_0.8.0-1~nd90+1_all.deb Size: 8984366 SHA256: 28a042ed288c4d3c8114fac7b62b2cbba453aa45aa2bd807a3117bbe159756f6 SHA1: f918724b98486c021a319160726a0bacb2b54435 MD5sum: b1b907c84f27ea1d883884619aad1173 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1645 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), 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_0.8.0-1~nd90+1_i386.deb Size: 228602 SHA256: d0f9059c53221abd18637e5c5c607352fb81bc872c7510f90a27cce7cc102904 SHA1: 65f512b7bbc4b3be87642b99b727b9177d580be7 MD5sum: 08bea2208a5db3211cd50efe8f2ec4fb Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib-dbgsym Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 613 Depends: python-statsmodels-lib (= 0.8.0-1~nd90+1) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/s/statsmodels/python-statsmodels-lib-dbgsym_0.8.0-1~nd90+1_i386.deb Size: 334654 SHA256: 23f98d762cf15f15c1ca6223a91f02680d0d44458ebd68f73ccf4e3897634f9b SHA1: bb8784e15a9e7e438dd7677936bcb8621464cd83 MD5sum: 1158e7de977f341b45401007a00c417c Description: Debug symbols for python-statsmodels-lib Auto-Built-Package: debug-symbols Build-Ids: 4134a7165aa44e6f8bd5d085443bb3ab2b751cfe 836cdb4a6f13aee84da45e79166969a48f9aba0a db8061da75d93ede4d121007bcc67abee58d5550 f92ed32e5ec24a91b355c80eba849539b0a7ca7c fb65a45edb9446451c56c8356f15fea687a10bd0 Package: python-stfio Source: stimfit Version: 0.15.4-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1410 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (>= 2.6.6-7~), libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3 (>= 4.5.2), libfftw3-double3, libgcc1 (>= 1:3.0), libhdf5-100, 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_0.15.4-1~nd90+1_i386.deb Size: 493036 SHA256: 3426f182046f69b97d5057ea4df6c92877c91416297f1303d3cf3ac46316d281 SHA1: 4f31728ec078ffd01dd9f15663f181d2f70ff099 MD5sum: c38a5418ba399fbd2eae699baf103215 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: 0.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), 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_0.7-1~nd90+1_all.deb Size: 44584 SHA256: 1d9f7d284c92dc88886f3ad91735ed7d48bcf34ec44d34032d4c2c5b1dc9344c SHA1: e6522641c1be9b910202179130e4388f3bb2e378 MD5sum: 75e5b6cd14e51a57631fa42e7209ee97 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-tables Source: pytables Version: 3.2.1-1~nd90+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~nd90+1), python-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+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~nd90+1_all.deb Size: 344806 SHA256: e66e257a076d39aa14d4204d5cf7b49114e518c8bec02735b5a3e8bac0c02da9 SHA1: a148f32ac501ace9855b063ab8390d8e9022261d MD5sum: 8df7e8284168c245806d6cae620f649f 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~nd90+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~nd90+1_all.deb Size: 51306 SHA256: 938dad82d3f85942804284edfcde696fad4eb67d713e1fb962bf5f4639156fda SHA1: a0de2ee3c0e22768d4558eb90271e3cebdcb8ff8 MD5sum: 266358c542dd429090e1ca9595fd3887 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1814 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, libsnappy1, zlib1g (>= 1:1.1.4), python-tables (= 3.2.1-1~nd90+1), python-tables-lib (= 3.2.1-1~nd90+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~nd90+1_i386.deb Size: 491940 SHA256: aaf231b15d53a721322e7e57085dea4a4a441f9dd20a530903654cabd0774e0e SHA1: 473f5e2369793c3ca67a95debb1fe7fb28f2ceaa MD5sum: c053f12f9c61285993df012aab5bbede 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~nd90+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~nd90+1_all.deb Size: 4249128 SHA256: a40038c806f2e49ca56bf8f36e962ce1505bb1de33b75dc1115c6a3b3c41c50e SHA1: d2f16e4f4dcbc57265ef62e3c5be8a9a0f632735 MD5sum: 2ef20d66ba9810f5bf35e4bd789ef2d2 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1478 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, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python-tables (= 3.2.1-1~nd90+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~nd90+1_i386.deb Size: 392276 SHA256: bc37aa86ce79c388777f2d0dce7af894066b3a2a73096387e6c7869996107ada SHA1: 6b57da1f4d33c0b624c18e04ce5cd3caa74ff823 MD5sum: 1cc244afe44163deb360d5b9619ab5d4 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 752 Depends: neurodebian-popularity-contest, python (>= 2.7), 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~nd70+1+nd90+1_i386.deb Size: 162986 SHA256: cd61ccb2be99a6f4e8458950286f5464c52ff1d5ff766930bdb523eb340d83dc SHA1: dc2e3c9a4369b2314be4566dcdc99236a188e1bf MD5sum: 4ddc7402ad42c42f3bc4655a021dca44 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: 4.11.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 179 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_4.11.2-1~nd90+1_all.deb Size: 49632 SHA256: 4adce1d24cb43786452451d7196c946b219757d02e919a4d79d6077b21cb7071 SHA1: a110407a534e8d8bffeff10a879fa912ecee2f5b MD5sum: 95e946bc59c8a6630d3cda97a4b8da24 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-traits4 Source: python-traits Version: 4.0.0-1~cbp0~nd70+1+nd90+1 Architecture: i386 Bugs: mailto:bugs@neuro.debian.net Maintainer: Debian Python Modules Team Installed-Size: 1787 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0) Suggests: python-traitsui Conflicts: python-traits (>= 4.0~) Homepage: http://pypi.python.org/pypi/traits Priority: optional Section: python Filename: pool/main/p/python-traits/python-traits4_4.0.0-1~cbp0~nd70+1+nd90+1_i386.deb Size: 274540 SHA256: 9e3be6e99fd4e7f4f5b922275bd8006b0f6eb0aa3f3a82cd630443f28efcda43 SHA1: 45498a5a5dabf9e1aeeb3f8a86b7958437b6e67b MD5sum: cfbb6e2748cba94f603c535c69b662ad Description: Manifest typing and reactive programming for Python The traits package provides a metaclass with special attributes that are called traits. A trait is a type definition that can be used for normal Python object attributes, giving the attributes some additional characteristics: * Initialization: A trait attribute can have a default value * Validation: A trait attribute is manifestly typed. * Delegation: The value of a trait attribute can be contained in another object * Notification: Setting the value of a trait attribute can fired callbacks * Visualization: With the TraitsUI package, GUIs can be generated automatically from traited objects. Uploaders: Varun Hiremath Vcs-Browser: http://svn.debian.org/viewsvn/python-modules/packages/python-traits/trunk/ Vcs-Svn: svn://svn.debian.org/python-modules/packages/python-traits/trunk Package: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, tzdata, python (>= 2.7), python (<< 2.8) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 34052 SHA256: 183fa2c4d83c7b02405c5f9101694d4d85961edf4bcee6dba215e9e20b67d8cb SHA1: 8c91f1d29e858933f13fea6bdaf815c0890e1850 MD5sum: ceac8a71c4038ba6e4f4c78a07232199 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). Package: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1 Suggests: python-ntlm Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd90+1_all.deb Size: 65372 SHA256: 36ee52037907d239e55c5b15d1570024a0ac2f049ca11b6fb2c85e15360d6121 SHA1: c46b5eeb451f8235429f72c951c5b0307f1eb962 MD5sum: 44fa7e06d879bad45c6fecd896d4aed7 Description: HTTP library with thread-safe connection pooling for Python urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. Package: python-urllib3-whl Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-six-whl Recommends: ca-certificates Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd90+1_all.deb Size: 92832 SHA256: f9b360883fd0d1694cb33317081e225032a57ad26c587bf4dd4170038192bafc SHA1: 8bc6cbe0de7d234b87645296d40f5b0fa71b13fd MD5sum: 0bc80104672a4fab130e3e7b0cac49aa Description: HTTP library with thread-safe connection pooling urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the universal wheel. Package: python-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+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~nd90+1_all.deb Size: 43540 SHA256: 5ffd32e41d6b09622a23f4d3abfe55c387b39645decd096cc75fd6db807b7d46 SHA1: b30f74457f548b02effee54982003cdd445bdca5 MD5sum: b3fbd72ceee13814f0d16b9072be2a6f 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1804 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgl1-mesa-glx, python-numpy (>= 1:1.8.0), 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~nd80+1+nd90+1_i386.deb Size: 601338 SHA256: dc4ce579a1f2fe1b569262fab8031653d4396a8d44ab419da89a96e6c47c9f47 SHA1: 2d138944a38e9b34d191e68ec22f72525b5d3926 MD5sum: df120836567be9a6cd3ac6220fdefe05 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-dicom Source: vtk-dicom Version: 0.5.5-2~nd90+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~nd90+1_i386.deb Size: 91382 SHA256: 0b4be0f80b93da58b9ad9fdd429cd213fbf4ea4628255d4b9e56e8dd2cf976bb SHA1: ff7e05429f49cc89e0abe44b918ee007f1082d6f MD5sum: 77e454eec665d6aace333a2cd818be75 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~nd90+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~nd90+1_all.deb Size: 14104 SHA256: 85ac8e1aa7d2bed41025a2c9b343b8002bc057f78290f03c709e6fc940d1a633 SHA1: c22e5a569842cc69a1b33afea2a6936cba76ba60 MD5sum: e355ae8758f67732c9dafe97e3f34885 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~nd90+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~nd90+1_all.deb Size: 165572 SHA256: 7be17184bec25c4a421825b50b8d03493cdbdb30e57f485188f06e479b1bc755 SHA1: 44d678dad8ad3b38ee2e09a7f122d9c5863a998f MD5sum: aee38b21de85d50eabf69ff03ce3e31d 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~nd90+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~nd90+1_all.deb Size: 881876 SHA256: 4a559109102aee2f3bb9267ac2200775e2afd8328e79fa27e3591e6773438a15 SHA1: 389736200858b2336fafbd741e83ead639acb312 MD5sum: 0c95fbcbaed8ab4ef2cc312bfaa821f5 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (>= 2.7), python (<< 2.8) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd70+1+nd90+1_i386.deb Size: 60596 SHA256: 7fe33530a84f76d5ba16bf6a1b4a332a528664e656ccd7e17f16929375cd5585 SHA1: f51ec626d58c32bbca820cfb08a38a8ea652f360 MD5sum: e669d191c79e033af3959f00b1ce1339 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~nd90+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~nd90+1_all.deb Size: 22308 SHA256: 896b8c5b419eed7ceb8bea3107bc7127880960b1fa7d095b440e162d3599b2f2 SHA1: 52fa718876f85f5e4343f1609d4adb564528bfc3 MD5sum: 0b2f1bfe1efee40720a8985e945144af 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-boto3 Source: python-boto3 Version: 1.2.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 721 Depends: neurodebian-popularity-contest, python3-botocore, python3-jmespath, python3:any (>= 3.3.2-2~), python3-requests, python3-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python3-boto3_1.2.2-2~nd90+1_all.deb Size: 63012 SHA256: be62f3877eb98cf49addaa5a7d172d734732d017847b7409c535a9d5e8723adc SHA1: 67796ff39c647a721621177e464106482c153e21 MD5sum: 30def32364ce1d68a3c7576a519b56c7 Description: Python interface to Amazon's Web Services - Python 3.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+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~nd90+1_all.deb Size: 81802 SHA256: 9771600798fda289f3bf331af6e87ce9b39eac0c38520bdf30f8c509457b82aa SHA1: 39ad5faaf9069dda3e4691ad8faa2e38b490e6bb MD5sum: eda798e4e44857e62a279e19dd0b3223 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~nd90+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~nd90+1_all.deb Size: 8734 SHA256: 8208ef7d303412211e9f184a05a3ea1ab1b9b86e7a253cc9726d1baa98722aba SHA1: c1a2992ecf62af90c8a66f0725dee7c137bc924a MD5sum: 91c06b98f55387e4a1dbaa5948271c49 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-docker Source: python-docker Version: 1.7.2-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python3-requests (>= 2.5.3~), python3-six (>= 1.4.0), python3-websocket (>= 0.18.0~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python3-docker_1.7.2-1~bpo8+1~nd90+1_all.deb Size: 27192 SHA256: 1514f81cadf9e27df86f8efd915a4633f00da62f2169ac9e1abe0b1ded5e3728 SHA1: b54bcaa32178be14de689a4c73746f23177040ad MD5sum: 230b56a6fbb8191e5f54941d9c9a4c7c Description: Python 3 wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 3 module bindings only. Package: python3-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python3-dockerpty_0.4.1-1~nd90+1_all.deb Size: 10974 SHA256: 8f1099481d5710591febbf4688436fe3d23f8d3f682170c8f1cb1d62c341bf09 SHA1: 4bb3811d3ee5699735c12f134eeae30a60533e0a MD5sum: 25c9325b671160d566541f1307998a7f Description: Pseudo-tty handler for docker Python client (Python 3.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 3.x version of dockerpty. Package: python3-duecredit Source: duecredit Version: 0.5.0-1~nd90+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~nd90+1_all.deb Size: 52866 SHA256: 9dfab4559b153400732bfd2ff4ca00092fda3ce600d349d2eebcb4d8de5da319 SHA1: 6e3dfed623f97243f0585a8553eb39a053817b9d MD5sum: 52f1d647ccf7789920374136357295da 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-fsl Source: fslpy Version: 0.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 464 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-indexed-gzip, python3-matplotlib, python3-numpy, python3-six (>= 1.10.0), python3-six (<< 2.0), python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_0.11.0-1~nd90+1_all.deb Size: 96476 SHA256: 1026a50bb563d71d8f0bfb3e98941aebb8a38c1fa55bbe8ff712b81cbc7f83b5 SHA1: 477c57df74b8e9c6e31938c229578677ef2b080e MD5sum: 03c6c798c8bd73b45d723f171bee7d22 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-funcsigs Source: python-funcsigs Version: 0.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python3-funcsigs_0.4-2~nd90+1_all.deb Size: 13072 SHA256: 1fab6e23175a30cda64b74fdcc94f8c070a1c8142f5d5507bc58a2130fc45182 SHA1: 3582e69a29ee738ec8b99857a9c6e7f2be5231b6 MD5sum: e43f270d56bcc63c81de299f76776c47 Description: function signatures from PEP362 - Python 3.x funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 3.x module. Package: python3-future Source: python-future Version: 0.15.2-1~nd90+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~nd90+1_all.deb Size: 346132 SHA256: 0b86fec70d0f5de4794a05779c5d7017892df211db0b07bcbfffdf898cfa36d2 SHA1: ecd64620aadfed37312d2fd64a242d66af3dc4d7 MD5sum: bc2756c27fbf3c290513779740efa42b 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: 2.1.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1623 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), 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_2.1.1-2~nd90+1_all.deb Size: 298574 SHA256: ce0656d1529af0255677e222abbc74923095b1f58935345dbdf4fc7235d71f6f SHA1: 0d56e53029c31407c74efa1e290c6833d10f8bb4 MD5sum: b28f106cf15a40c7d9d9178e5a28470b 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: 2.0.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 214 Depends: neurodebian-popularity-contest, python-smmap, python3-smmap, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.0-1~nd90+1_i386.deb Size: 46146 SHA256: cf93edd1959b1c19e2798519cc8306abe64f98c09a91ddc4ccbca6699ec4969a SHA1: eda2a3b00e3873414595fb55f2ee903754bcc814 MD5sum: befef7ad16f3eb43bf0b30632b33aba6 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: python3-gitdb (= 0.6.4-3~nd90+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~nd90+1_i386.deb Size: 41500 SHA256: e842e4aa176805c1ffd4e71a62a5763841062872593219d7680d90fa784fd802 SHA1: 9d1e89b390dae698a679b1c5170bd0a4324e460f MD5sum: a63231f0ee832e6478b899ebc82f533e Description: Debug symbols for python3-gitdb Auto-Built-Package: debug-symbols Build-Ids: 4bf5f17a11c73ee1e4b79e65c28757e192bc1392 6b4a695a10c7cb2e83a68bcc79956113425b3d4f Package: python3-github Source: pygithub Version: 1.26.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 629 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.26.0-1~nd90+1_all.deb Size: 44850 SHA256: adef56e2e9a42ace8817e5fdd4e09e839f6df5cf1ef26ead71aaa9b193ced51c SHA1: ccede87e71f5115d4762cd8c978d25c374d80399 MD5sum: 09edf8a095604406d92a91307052ca7e Description: Access the full Github API v3 from Python3 This is a Python3 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-humanize Source: python-humanize Version: 0.5.1-2~nd90+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~nd90+1_all.deb Size: 12668 SHA256: 09e180429c6ce4e29725b5eba27eadb80b41aee505906744cb3402a9ac6e8fca SHA1: 426390f0559742af2e08fc87e1f4aaec1e5c8f59 MD5sum: c4749e78654afa0b8c5def4772b32583 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-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.6.0-1~nd90+1_all.deb Size: 95344 SHA256: 2ba4aa1c656366d8c43ed8f6e435f59edcaa33c74fcc20f9bd4e592640b340c7 SHA1: 998609ea42c933f3a28a5e362873342dcff093a9 MD5sum: 9b2ea52a48f308605afc1692aab7b685 Description: advanced Quickcheck style testing library for Python 3 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 3 module. Package: python3-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7518 SHA256: 509687fb7218b6ba604b6c6224a4274f12f43d040c9d85ee47157e8ebb9b8c9c SHA1: b0c638b1dff6c85861e5f9fe52c8418bb82de3a5 MD5sum: a9021e0701397e533368a236de8df6b3 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: 0.10.3+git55-g660fe5d-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 483 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pytest, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.10.3+git55-g660fe5d-1~nd90+1_all.deb Size: 112794 SHA256: 6bdf2e19cf8dac7019c0946a86f47bd20427bb1b6289d1ba27ead95bc348ae7d SHA1: 7f0711119959a72d39e3ecdc1c7ff6ac0495e258 MD5sum: f57aee65a1e5fbc37ae36aba83bfccf4 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-jsmin Source: python-jsmin Version: 2.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python3-jsmin_2.2.1-1~nd90+1_all.deb Size: 21584 SHA256: b5e894bae070a06891fbbea89398feea5c29037a52856180e9ffff4021e3e059 SHA1: bac3a23eb3b1d28abaf8550ad2400c9e0e155c5c MD5sum: b162868d60a3f514cfebf200165cfca9 Description: JavaScript minifier written in Python - Python 3.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 3.x module. Package: python3-lda Source: lda Version: 1.0.2-9~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 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~nd80+1+nd90+1_i386.deb Size: 235712 SHA256: 1ca05888bd0044dbac2a912e991358e8c4e0bb68487705d6cfe0b7884b5e83dc SHA1: f4e43fb885554877062d16668e2d1aa1c0279408 MD5sum: aa5dc0b5ed5caae4572a55ada95103a0 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~nd90+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~nd90+1_all.deb Size: 275298 SHA256: c7ebf3dacb49fd9c33db382c47b6755564873fe4c73a86e5d3fece2171790014 SHA1: 820f14dd16401efa4797608ab93556fa5427c51d MD5sum: 3d9b7923dfecefc7392e1ad046309a1f 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2871 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python3 (<< 3.6), python3 (>= 3.4~) 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~nd90+1_i386.deb Size: 421504 SHA256: 2b61d9977308ac3ab3aa850d7ec3e90613ff7c73d8388e851bc5c0aaae5faab2 SHA1: 5ef81bb8ee43c503e06fa017d92a3fecc9474d23 MD5sum: a682828f608b270a43a77800858a6729 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8273 Depends: neurodebian-popularity-contest, python3-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_2.0.0-1~nd90+1_i386.deb Size: 1938050 SHA256: 3c0dcec9de32129d6ab06c6f53a1d6c2006d8e1999d91a68f127c51b767e9832 SHA1: 47e9c904babe4d1eb9c559fbc32ebf5608ac1f40 MD5sum: 7249d78254b98edc17018a0e4ef98c0c 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 198 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), 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~nd80+1+nd90+1_i386.deb Size: 54340 SHA256: 3f99a8c6c8fc36a2860dbd0d60dd47f3302a7c0000c2b33d4220b6f290d04759 SHA1: 1a80677eea1e09e20f32e9f2b0d203c6e0d2ad6e MD5sum: ca93c8cc6f9b247abaa4ea1d85f71a80 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: 2.1.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64194 Depends: neurodebian-popularity-contest, python3-numpy, python3-scipy Suggests: python-nibabel-doc, python3-dicom, python3-fuse, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.1.0-1~nd90+1_all.deb Size: 2164956 SHA256: e9918fb8761b02a83e40c295b498f078f3521d686d0384f51e97e1dabb9f3f76 SHA1: 1ecc3cab93b8d6206d298bd071f587d44d6cc404 MD5sum: a216f6a8b57cd279b3398d369f94e16f 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-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2158 Depends: neurodebian-popularity-contest, python3-nibabel (>= 1.1.0), python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.6), python3-scipy (>= 0.9), python3-sklearn (>= 0.12.1) Recommends: python-matplotlib Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python3-nilearn_0.2.5~dfsg.1-1~nd90+1_all.deb Size: 685034 SHA256: cd294196a90cf05f9bc4b2c59a10e174985f9f4aa5a5b20e2707454ea002015c SHA1: 52f7b825b93ba326316e810a0032f829a3ad5f3a MD5sum: 49d7ab9930c57c029e334b747662e271 Description: fast and easy statistical learning on neuroimaging data (Python 3) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 3 version. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+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~nd90+1_all.deb Size: 5190 SHA256: c647378e4ac68d6753801dde93798cd63acb59c1bb2d7edaddf8753a9883dc08 SHA1: 106e055cabc299003c29cc626e1c8c7f41c98c79 MD5sum: 75d7fb5666e53c4dd70cbb41a35601d5 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: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 459 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.6.1-2~nd90+1_i386.deb Size: 122490 SHA256: b8ac431375545a61e79e984d867074eaa549669891056f7d9a5fd1de72d2f4bb SHA1: 6a3e9557dd5208b960009d48741f06023a9dcba6 MD5sum: fdca6d6622a16e5cee7f91928d3643dc 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: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 346 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.2~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-numexpr (= 2.6.1-2~nd90+1), python3-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg_2.6.1-2~nd90+1_i386.deb Size: 98776 SHA256: c1b5da16e1f8ef7e409f313dca6f19e1bff2eae0552127cb12b695b697ba3035 SHA1: 7775d72604b3a3338e7e6c7578a311880817d243 MD5sum: 1af63baaf1d475de5a23f57bf56bddcb 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-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: python3-numexpr-dbg (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg-dbgsym_2.6.1-2~nd90+1_i386.deb Size: 225566 SHA256: 22589ae8797ca9f775c87a09d3ee8cfd2d344cd41db31c4ff6b4b5a226ee7586 SHA1: 5dd9ef41030b6d36c803df3259fddaf27d784971 MD5sum: 81e5d79c3fda0599f07b561596d7b5d6 Description: Debug symbols for python3-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: f5da05c6e57105ee5709e041314944fc1404a1ff Package: python3-numexpr-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 246 Depends: python3-numexpr (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbgsym_2.6.1-2~nd90+1_i386.deb Size: 218044 SHA256: ef42cc6924b6ca80bc03cee7c66f45720e03cac39941017c4dbac7bb40c88ae2 SHA1: 5fd4561124da45df99cfc24f33f8954a78a692cc MD5sum: 259a6ff52bca4889866172034675fbc2 Description: Debug symbols for python3-numexpr Auto-Built-Package: debug-symbols Build-Ids: 3667c1d55bcc7957ca73a0fe2d02af5410442de6 Package: python3-openpyxl Source: openpyxl Version: 2.3.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1321 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_2.3.0-3~nd90+1_all.deb Size: 198350 SHA256: cd43a824c5c0f122f8caf9e02a6cf881601b9c5025af58dcae4495d513519486 SHA1: 5b508358ec345bc20ab90d48b3dec74b3b4caf95 MD5sum: e7ef93ad8688d222044bfd622b616e46 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~nd90+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~nd90+1_all.deb Size: 17270 SHA256: 1d3e30f82be2e97addff8b78bcc6505de87ba5a1b9d724259e7cf406739901d1 SHA1: adaba2f1a49b83f8af262406647ffa424ab72487 MD5sum: 6225df2547e50f3d13e80996b697ac7b 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: 0.19.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25227 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.19.2-1~nd90+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_0.19.2-1~nd90+1_all.deb Size: 2615206 SHA256: 5642afbf0c81ad83e8fd4713be56f6e3aea699d3be15da20f229215f7ebe5d17 SHA1: ff06900c9e484d787febda9e9dc26e96b878cbc1 MD5sum: c2d43a6e7e822902b571c832c59b3ffb 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: 0.19.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9114 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~), python3:any (>= 3.2~) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.19.2-1~nd90+1_i386.deb Size: 1920516 SHA256: 72e1309c088fa310fe11c1e46a807c0b5a066c9c9b327112543f92b5368b7d04 SHA1: d678e0d97b8d5088a07b2394d1d7edbf447385b9 MD5sum: d647839bc0e6eb38e516258934a79070 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: 0.19.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8687 Depends: python3-pandas-lib (= 0.19.2-1~nd90+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python3-pandas-lib-dbgsym_0.19.2-1~nd90+1_i386.deb Size: 8068926 SHA256: 50fb68c10092b65c7a6e1ffaa1826285c0d64ddd1760f446b2ff2e5a5ab3830e SHA1: 9f33e36f258b8c6330261459a4096a52be9f24c9 MD5sum: 286d36c9ad861527702122d26d5a819f Description: Debug symbols for python3-pandas-lib Auto-Built-Package: debug-symbols Build-Ids: 1080c69a4d5cc1571030b2e27e118f6e82a362bc 29d040163294f6e289345374670e5328c9ce540f 33d006dcf30babfc9003c58f4f26dff92288339b 499989f7ac7617294c110db7c3a591e5fa0397c0 4b4fafa54eb2962de5ac59ce34cbf00ac7e24f9d 5d34ca57db45fb51455028217044a8b791abc5c9 65d2d01449961073efeb9eacd608480c2d6920ca 69dbe1aaf7547391c3469242fe97e8f33a8fd396 7e31bd73e1fee4b7ccb47bce330de8fc6920353c a127df0130833c85e67f18928a179b27fc7f9d3d a25108c607b925beb8665937b0a72d28c82ea74b ac7a828b9ff6abe7a354f6c67e39169833d0983b c4a1a06848726d5a13b78ece100e0081ec5a8dca cd3044ad9658f7a5f967d9b019d149e44b3ab7df db1493beaf44f6eab52119fee726f87958ef2be2 e7f27d8f690316886bf80e69088f9540bf56fbdd Package: python3-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 782 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+git34-ga5b54c2-1~nd90+1_all.deb Size: 171558 SHA256: 11a7e347a1903c5e6a25e5d525e1b383b3a6c265e5d85472c53767942f936a81 SHA1: 07cd7a343f58cc23322ba4610a355370338e5b4f MD5sum: 35fcf320f1b8f3b032d4cef1c41f1402 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-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 111984 SHA256: ff495c488e006e970fd767a609480ba382b1e883d43ff51dbb558b685f9babe8 SHA1: 0e8948fffef6018add11d6297b0a2166a05696dd MD5sum: b67348d5d6aa30552514e9bb69dd2b8b Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python3-prov Source: python-prov Version: 1.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1235 Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx (>= 1.10), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~) Suggests: python-prov-doc, python3-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python3-prov_1.4.0-1~nd90+1_all.deb Size: 70198 SHA256: 6ccbbe81528ba2b586982358cbe66ef309d9df68051a633fe517c995ee581c5b SHA1: 653f0d21a6bf67616434e8f085db41987230555d MD5sum: 6947f5203fe14e9869c4b653f4c9b60d Description: W3C Provenance Data Model (Python 3) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 3. Package: python3-psutil Source: python-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 257 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python3 (<< 3.5), python3 (>= 3.4~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python3-psutil_2.1.1-1~nd80+1+nd90+1_i386.deb Size: 60258 SHA256: bbbc3d8e84c16bded67040c5a9e268951e2cc72d1255b0820030deb7e2993f56 SHA1: ba7e85acbee5203d028ba0a80292cfc51d56915b MD5sum: 17bf9a6049dc77f7d73699543fc7c047 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: 1.4.31-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 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_1.4.31-2~nd90+1_all.deb Size: 82252 SHA256: 3837b3387371e1325ce35cc0fa5cf1325c87f88c71a480b4f76dfa37f7ebb61b SHA1: d9fa52b1621846f1aed6f203f7decebadf51e150 MD5sum: e73a5b437a79a15cb2c16602b6f6d513 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-pydotplus Source: python-pydotplus Version: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-1~nd90+1_all.deb Size: 20262 SHA256: 37c7ff6461511dd9624f55abb8dd65965b7cffc92a6d2c9d97ffc58824a612da SHA1: 80b56d9cd3184f3a463cd3ae0f93b2bc1fe7ece1 MD5sum: 7016cd142795961a51d1a898b723ce76 Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-pygraphviz Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libcdt5, libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python3-pygraphviz_1.3.1-1~nd90+1_i386.deb Size: 74830 SHA256: 4a95bd22c4421ba24a704f71cd6bade3126bd87131ee9d8ca86471aae6145101 SHA1: 3d2ab90b1507f08d979db8ab2314bec5d49af551 MD5sum: ef645c959c92570b0b01f3eb71abf382 Description: Python interface to the Graphviz graph layout and visualization package (Python 3) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the Python 3 version of python-pygraphviz. Package: python3-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 244 Depends: neurodebian-popularity-contest, python3-pygraphviz (= 1.3.1-1~nd90+1), python3-dbg, libc6 (>= 2.4), libcdt5, libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python3-pygraphviz-dbg_1.3.1-1~nd90+1_i386.deb Size: 103270 SHA256: 4e502290545c45cacafcf3c501c218f1afd36a667f7c21b253c795d1d6ccfed2 SHA1: 0df45d24f52153e791e5f39b00014ec5e4c626e9 MD5sum: 721dfcf26d15e54cbeee303004d40bfe Description: Python interface to the Graphviz graph layout and visualization package (py3k debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python3-pygraphviz. Build-Ids: 927eeac2540acf2d8de023021cb2b7766e3cba38 Package: python3-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 648 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3:any (>= 3.3.2-2~) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_3.0.4-1~nd90+1_all.deb Size: 181274 SHA256: 5de0aec6918d800e1fd43359797f7fdaea2328282c95786d98259316b74cc730 SHA1: 4a843351dbcc71a320c1e783274d895486c944aa MD5sum: 6f74b0bcff928378445733f6219e8b06 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 py.test-3 script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18238 SHA256: ae2dc72d9a97c9d8d71bbc222a18030530c065e0bf309bbbda1844271195fabb SHA1: 4d9501a6f30c0c709c453e1d98464bd1f8131b54 MD5sum: 8c29f136aad81be7440f9ab8fcdfc5dc 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~nd90+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~nd90+1_all.deb Size: 5734 SHA256: 8ab0046915b5cf9640e19a16d43ce44f498fd01fb0a365be49c8aaa1c30ef57a SHA1: c81514d37073e109155141a339b73c41e2b1e7fa MD5sum: 6955e8fad9eb8dcc0b1a8e6690a1f171 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-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd90+1_all.deb Size: 67940 SHA256: 43927328370c4444f71d4510e56db1e965b112fc1428eaf0d78ea34ba4601381 SHA1: 9764b391ab8de24268e61c77a6c84bf06addc025 MD5sum: 2d69be367bff3ee349de9829c62671c2 Description: elegant and simple HTTP library for Python3, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package contains the Python 3 version of the library. Package: python3-seaborn Source: seaborn Version: 0.7.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 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_0.7.1-2~nd90+1_all.deb Size: 128260 SHA256: 3ae4607fd3634bf9f7ce534dab326ab37dc84945ee418fa33d3ebf01abf82713 SHA1: ea4143ab8d4c48a2b99a7453604be6b783455f57 MD5sum: 6c7f2f2cad4b2c31a973a7ddb0affffe 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 Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, python3-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1), python3:any (>= 3.3.2-2~) Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-setuptools_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 121936 SHA256: b458e8cb77f28361540be6a5b849e215223dead5eb4dfdcc079f0841317dc526 SHA1: ec920053b9f88e95dcb5df9574fba18cbb06cc8a MD5sum: d7b17b365b42d08807a5da9cf6a4f6aa Description: Python3 Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python3-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+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~nd90+1_all.deb Size: 11508 SHA256: 2730e344dba8d1a2aba862116e1a7f04401a3d60f55c7b3711a0f38eab6d9e9c SHA1: a3d1c80be76a5d5707c55d8dfcbb9151c5d1bbc1 MD5sum: 2ebfe54cfd23e1c418056e26342aff1e 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~nd90+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~nd90+1_all.deb Size: 13872 SHA256: 9cb9ab855f3ba597af73fe0e05ea2be6c467c151335c301d5799875b9f642ee9 SHA1: 41193de28375c29b8c5471613d329b2a05b6f244 MD5sum: 1335922a59966e3db6c70a9007218d03 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-sklearn Source: scikit-learn Version: 0.18.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6608 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.18.1-1~nd90+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_0.18.1-1~nd90+1_all.deb Size: 1392224 SHA256: 99de9665fab0f96821e800b68fced56e51627eb1da7eb682c51864d92d5b9ada SHA1: 8f9dd98d6a0cabf0d0ca5ff9861a1c3845cf1426 MD5sum: 986b84a5c9bd1c9ee6938f7372f4b49b 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: 0.18.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5832 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 (>= 3.5~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.18.1-1~nd90+1_i386.deb Size: 1220888 SHA256: 4c6e1eb388d582ea23fa854f23e87f3339b0e6bf992b3921b2248d1663fda82d SHA1: d7ac76e1ca272dd852637edc443a3b040b7e0b9a MD5sum: 8d28adfedf2aacd6921912fcbc64f7ab 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. Package: python3-sklearn-lib-dbgsym Source: scikit-learn Version: 0.18.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6431 Depends: python3-sklearn-lib (= 0.18.1-1~nd90+1) Homepage: http://scikit-learn.sourceforge.net Priority: extra Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.18.1-1~nd90+1_i386.deb Size: 5648548 SHA256: eb2e0dc4b2f372526743d92bb10ee13ca1cc90bfbb7eb7d31fe0495d0e85655c SHA1: 8030f5237b490adb993964509d175b0ea8e92173 MD5sum: dafc27dfc1837d526be998af29eebb08 Description: Debug symbols for python3-sklearn-lib Auto-Built-Package: debug-symbols Build-Ids: 0d9eda37baaf3d0570bb436c435336893ef9c6de 0f083873e1d46a4d2301f5693e3a6e3146e0413a 129d717d91ed5847fa32e9d327e2242775dd043b 1cf0bfa3fed45fa680ae22772c5558a9da090bc2 1cf861bdb3c62e51a1ca81182ca7d623e85d6885 3370a5f55d2f3acdea8e090163ec3454b6694b37 383157124fe1b5d3561dd381b97f1f728396fe36 3fbdeac56034b4885edfb90c3752885a0907d716 41906324577ef70b6a1803702f25536184726d36 47249806303b39093fcd0e7aec39c8f44f904ba4 4ec77b0bde433903f0d06649263e29142b7032fd 5111083022826445b78abf3f1e587ac6180af8ff 526d06a83e607a1acaa51dc0fe371684d5f23431 53845371d5f40723eb0439c811c9e7cc37e7fe40 5d9219bb7735d2efcbee71436bf35f3cb34e4af9 5dd698a6a94cb03914d360a37fdfe05eccbf4b8c 604e29273fee36a765b88616014ba37398991b51 6608e26739e4b4ccc9be5e855ded7aa9576c253f 68df7f5767c91fc93b2c44bf7ea17cc302bf954c 6aa139f4055f5b4e693a46805b1a72d46ae19e75 6f5d171e185ad7712d001869342f3e4b76db8b16 70ea8e83fc878972b73e12a436d76068a2c02ea8 7ceb3bbad68d0835cf0d63c94c83d7fdb7b95f0a 7d281004ba28d6af14195f73563766e244668ebf 7e1d514d089f87be1d250c92162936b216509306 9020e26fdd2ef917994ab8de1447a501ea98971f 9e2162885aefffa1b93fee772fa36ccc0e60898b afd956ea1ee758ce90c00c0e78f833de2a2c226d b32634930fe951987e5d4a5e69a9a2c324c84ae1 b5c91d2c74dac38b1ba6499c013ac7319ffd57d1 c0c78afdbd86ad0cb1a2843db5afe2035b3c8826 ca2a16056ffeda231f317a3bbeaa36e576059325 ce5296c5ee2214cc3dcd58bd25754f0a306db958 d69080b896854d7be7cb2198a8863a5645b7d826 db330e024d7f636d02727ba35c4c7f214a6e2e14 e3e79eeeef80786b45ba7931b4fa204a7361a732 e49198ee4bcdef28a249a9be53675e0a41c2887f e4e56475219e4074b9abee2eb432c89ba1b6fd1b eb759d57d5bf4204411e9e629e07eca91e639e6c eb8792ad4b09630b32ba1735dc6b619f017a3b90 f03f25145528f3ae6c692c0771d95dcca957f32e Package: python3-smmap Source: python-smmap Version: 2.0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-nose Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python3-smmap_2.0.1-1~nd90+1_all.deb Size: 20128 SHA256: e5dee063d91ac292f90831a3b5181820a6e8c4f57b85203ac4a8c36a5ffad5b1 SHA1: ec6672729b868ff5e661a9d926764e5ff8d755d0 MD5sum: eba7765fdb8a608c2f63f32e4f8c6778 Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. 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~nd90+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~nd90+1_all.deb Size: 117208 SHA256: 16750e72490dfd83a69334d631b79056b547727b706529f6eb8eb2d1fbca5443 SHA1: 0f30cc73b8863ed74a3e4aa8ac6e2ba911bfff3b MD5sum: bd47026d57bfab7cdccbd9a6f3211976 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~nd90+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~nd90+1), python3-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+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~nd90+1_all.deb Size: 334588 SHA256: e7ed085c96cfd227c9cc95eebc50aeffe52a4c1ed7c7b58f5bff63e6621b8625 SHA1: 02e6c841145e979f6f500de3a160740e6ce03577 MD5sum: 4d9654daf36f879161599612f3df2460 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1775 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, libsnappy1, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.1-1~nd90+1), python3-tables-lib (= 3.2.1-1~nd90+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~nd90+1_i386.deb Size: 482536 SHA256: c59f8795c030120fa3273440808b4faf2c51a56e4efbae6867bb8fa48719814b SHA1: 53190a1313f11717036f3b1ed1c3e47e1d4596b0 MD5sum: ecd6db30611c4d630062702e3c89bfec 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1430 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, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python3-tables (= 3.2.1-1~nd90+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~nd90+1_i386.deb Size: 380898 SHA256: 9c2179c5f6cdbe849127ae3a68677b9b57365e295190099677604fba013edf2f SHA1: 9669791255160ac690eb619559bb36762230f008 MD5sum: 8134c4fc850714c57ba56ad0f416fe3c 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: 4.11.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 181 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_4.11.2-1~nd90+1_all.deb Size: 49944 SHA256: cb3dcf3779f2af5d373ec11e02397f1d70bbbea7663784db2420d17d5eb908a2 SHA1: 075fbd0ec84fa3b32c84ef2b6879f56d6d658fd6 MD5sum: c064aa4f2b4be341aa9027c82bc77595 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-tz Source: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: neurodebian-popularity-contest, tzdata, python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python3-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 25318 SHA256: f3b641a1dccf7188209fbbd4b68c9462e4cfc35e8c371603ac02a451676c132e SHA1: 04ab5dc0076b526b09c4b1ae563c20f70636fba2 MD5sum: 34437b0794a75cccfcbca371eb5db224 Description: Python3 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). . This package contains the Python 3 version of the library. Package: python3-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six Recommends: ca-certificates Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd90+1_all.deb Size: 65466 SHA256: bbb44abbce94bdc29c3ceab0218941d63180e4a2f96aaf045b76226cf2f1dbee SHA1: ad6a46b318f4b457f86958a7480f14b581a6ec50 MD5sum: 382074cc1ff3d1bb638d14595df0d213 Description: HTTP library with thread-safe connection pooling for Python3 urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the Python 3 version of the library. Package: python3-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+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~nd90+1_all.deb Size: 43596 SHA256: d4eb47e29c624f66b0e2cf6d0c3d30a7ab13e0fb50d30735693c46e38bc7f5b7 SHA1: ef87422db4cbcb229e68dce4c080ee274210421e MD5sum: 786cfa64706c4543ce3dcaf15b5e1a4b 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~nd90+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~nd90+1_all.deb Size: 14190 SHA256: 936b5cf9912553d27c7f1f2995ad57113ae0d0e50748a86b8b34d94a95210adb SHA1: c323083c3fd7909615fd05c74cf34df27c849b99 MD5sum: eabd0e00c9049ae6861823d2a2f35e24 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~nd90+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~nd90+1_all.deb Size: 165550 SHA256: baff81afd62f70d40a88d0730c28c741d896df6817923fc5c1c750b479ad7f7f SHA1: e64561b10bba46f959268074a0f6591208c7c5b9 MD5sum: 4831b3c44099af4fb3c32d574576b5a4 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: 0.4.9-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3287 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 4.9), libvtk6.1, nifti2dicom (= 0.4.9-1~nd80+1+nd90+1), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.9-1~nd80+1+nd90+1_i386.deb Size: 488476 SHA256: a272a7bdeb3c4db16bd6bb333776e0dcf0a9e5c57809105b898826bd12192ed6 SHA1: 0ab44bd2baafa6fdaae7f4966e6055af9dad56c4 MD5sum: a4a6ee394a6c27d202d4cac1d48f28e8 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: 4.1+dbg1.1+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 326 Depends: neurodebian-popularity-contest, guile-2.0-libs, libc6 (>= 2.17), libgc1c2 (>= 1:7.2d), libreadline6 (>= 6.0) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: devel Filename: pool/main/r/remake/remake_4.1+dbg1.1+dfsg-1~nd90+1_i386.deb Size: 155380 SHA256: 1484f9687efad5f119547f8cab3be7601617b06d81b8f9489a617852bc4013db SHA1: 2c33c9c407b827e473570c45d37cbdd770c9f7d5 MD5sum: e5283d8458631d92c6df3d26ab40187f 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: remake-dbgsym Source: remake Version: 4.1+dbg1.1+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: remake (= 4.1+dbg1.1+dfsg-1~nd90+1) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: debug Filename: pool/main/r/remake/remake-dbgsym_4.1+dbg1.1+dfsg-1~nd90+1_i386.deb Size: 241404 SHA256: fbd44ed42866bd3614b5ce1696bc8eb828f56f9f4fa713444716d5e2ebff320d SHA1: 9186ca18a6d53f220f3a6e8547bd8b442391fc97 MD5sum: c9013cd9de27861e654793f3045a73a1 Description: Debug symbols for remake Auto-Built-Package: debug-symbols Build-Ids: 0b18ee6c8a6684a7ec2d40820227e2f5b70b3f92 Package: sigviewer Version: 0.5.1+svn556-3~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 956 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~nd80+1+nd90+1_i386.deb Size: 339084 SHA256: 3be394d463d604d2c9cc9dfe928ed395365633c8510c60acae4cc533bb898928 SHA1: eddd03a697dee43d31def1b12e944c3e31869abb MD5sum: 901d38db2c901206cb3c021b0bedf1c7 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: singularity-container Version: 2.2.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 908 Depends: neurodebian-popularity-contest, libc6 (>= 2.16), python Homepage: http://gmkurtzer.github.io/singularity Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.2.1-1~nd90+1_i386.deb Size: 136134 SHA256: 3fbe06fd08d52526da9b5ab89cab873f21f1b04055caa5e4157607858243f203 SHA1: 05c9fc1f84c94e6ed98e8c3ce178faa886a3f637 MD5sum: a5987d9b0ee5297b3c9925a600eae85f Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.2.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: singularity-container (= 2.2.1-1~nd90+1) Homepage: http://gmkurtzer.github.io/singularity Priority: extra Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.2.1-1~nd90+1_i386.deb Size: 177878 SHA256: 022631605bb880ef11403a873cb1bf68f34c4b0e04838356862e2eee5ca1667d SHA1: 9efffbdcd65c428ba6027647cfe79bac220a400d MD5sum: 681d28a3fa88c82711338f3d512b348e Description: Debug symbols for singularity-container Build-Ids: 20d6faacb4fc70b6b7e44594ce598048fda43858 3484eb10c11c9ca0b40bbdee2b011da893cf6675 6cdd9b0346d1cbb3c73bf4b154b36bcde255f336 b84dfcc0f6fb9b724693e83b7c2b2286603b44e3 ba2b7a63f5be925f4b57f195caf1efe3394032b5 ce5bed76ad11f23738618b9370cada5fd5160ca6 d6761be6c92456df0177953b8112a845617ccfea d8dfedb809d2a0eaf343a427d96f3b3079f1cf4f Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19187 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~nd70+1+nd90+1_all.deb Size: 9748000 SHA256: 680f43e45495a677b3c38f5e3709ec28b4ad877e4315eeff99fe2582ea1fcb7c SHA1: ceac6e0f3811c55e8125edbe21b3efdaf1a16e12 MD5sum: 244ac5f32442def5cfc872ea3f873f88 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73020 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 45492378 SHA256: aa9b3d42abaacaa7d476fd31e6d9af9abf9aadfca4f0a603b0369bb26a3c8dc5 SHA1: 0725897b8a1f9fa64abe092992fb35dbcfcd5270 MD5sum: 746ebce5f1c0180331a6be5e080b959c 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9252 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 8934900 SHA256: 4a07f5603644623f064ef741e279bc7c152ea20cc5a134ecd4734b7958e37836 SHA1: a37985ea601c14ce314860c55a42f45fd00405de MD5sum: 40142910687b4dfbbac3805fe593d0d6 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, python:any, python-spyderlib (= 2.2.5+dfsg-1~nd80+1+nd90+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd80+1+nd90+1_all.deb Size: 53012 SHA256: b2dc7e51ef78e68819125e10a50cd4ea706a77ba409e0bb27fca9b63c8a34c5f SHA1: c6e5131a5eaafdf8960050d01e2812ba76c94730 MD5sum: 74994062b3b51941db390ea57c13b8e8 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~nd90+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~nd90+1_all.deb Size: 1291112 SHA256: 2e83375531323c142b40cfbbcf0ecd5dc636a6d7a9e2529ad8e420d5946829ce SHA1: d83259f4f990fe9a0786aa922d110fe735d98ac9 MD5sum: fb561409c7b2eb55831da4fc16996663 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 134 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~nd70+1+nd90+1_all.deb Size: 22486 SHA256: 8766352aac1f4ad1638c04104058b2872d436a43f15fb3a43f84ea9c99ce5787 SHA1: ab2985bd761da2904cfdddb227bf81a1b91534d0 MD5sum: 8d9b482369a29f4801e6ef1119852fcd 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: 2.7 Package: stimfit Version: 0.15.4-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3087 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3 (>= 4.5.2), libfftw3-double3, libgcc1 (>= 1:3.0), libhdf5-100, 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, python2.7:any, 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_0.15.4-1~nd90+1_i386.deb Size: 938940 SHA256: f3ace8759ecf2a26b204ed66a3e823d5ca68da163cb56cc6b68230ff4576eddc SHA1: 163bbad60315a0cac6e8f6b1c08cfdf43a6746de MD5sum: 88384cc37509805663fb7d137e24469f 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: 0.15.4-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 25593 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_0.15.4-1~nd90+1_i386.deb Size: 5305790 SHA256: 0b322f6067189538b8e9a379440757587b525049ffcfc0bd84595917bbd080b5 SHA1: 465fb0e8b2027be6c520e6552843c536fc2a2c58 MD5sum: 115ce144188f90434e61b68c6d946acf 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: 0.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-1~nd70+1+nd90+1_all.deb Size: 6544 SHA256: 932580cf411cba683c923965479d65b533fe87f46590d4e18612bb7906fd639c SHA1: 9077b3e2d8dc1f892ae80bd15112d369c68aa96f MD5sum: b023b0ccfe544567ead1371438900c92 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: tigervnc-common Source: tigervnc Version: 1.5.0-1~nd90+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~nd90+1_i386.deb Size: 62720 SHA256: 31858e0fc597879001229f80f008a36c01ee3ac3f165c3a5900f92683194cb38 SHA1: bbb4b24a80353d03d9264ab51403baf2b04ee05c MD5sum: 99c4a3e2d7390aab439ce5f69ee315ed 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~nd90+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~nd90+1_i386.deb Size: 186458 SHA256: 793c97bc2702d0b752b6341cda0664b2db8039906e89ae255ea4308b551a85af SHA1: 9e5a67a764cd14389ceb64e04636bc884d60241b MD5sum: 2521af245ffc3f7a99b4f1ce9699e322 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~nd90+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~nd90+1_i386.deb Size: 1016826 SHA256: 7dc5a47705dc35b03459cd05f84102c60b4cbe88f27abaefe4c5ece9ac160b1a SHA1: 8710c3dde395fd507ee1ddd4c7ec9881a589ac07 MD5sum: ed80047703d14ed9901a3c2d1f2f7271 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~nd90+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~nd90+1_i386.deb Size: 159880 SHA256: 56e25a34e9a4fbd8dc96f2d3006909056e56eb1454b6fd6c183c1a0aa0126dc4 SHA1: 791ee9a1f16ae8df9f995f60e923fcda63203564 MD5sum: 117a3ab86df34bc18535bd792ff7d7ef 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~nd90+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~nd90+1_i386.deb Size: 206982 SHA256: 99befddaafde1942c4c13d41193829db6cf46634ef70d0c7d246fd1f5798fa2d SHA1: 7b996839d630c6b7a3795af94b70e16e2193573b MD5sum: d357a5e1a67071c4cb43568623880e4b 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd70+1+nd90+1_all.deb Size: 11666 SHA256: 9261b6c61e5f4c66cc1bc803a2fafddd4b76383058127496b5d6c2af04ea1b9e SHA1: 705794dc4d5af0849731d8a6ebc9d90b24b7bf19 MD5sum: efa94037736492ce55a9d611841f8bdc 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: 3.0.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18013 Depends: neurodebian-popularity-contest, libboost-atomic1.62.0, libboost-chrono1.62.0, libboost-date-time1.62.0, libboost-python1.62.0, libboost-system1.62.0, libboost-thread1.62.0, libc6 (>= 2.7), libexpat1 (>= 2.0.1), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.2), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libpcre3, libpcrecpp0v5 (>= 7.7), libpoppler64 (>= 0.48.0), libpython2.7 (>= 2.7), libqt5concurrent5 (>= 5.0.2), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.3.0), libqt5network5 (>= 5.4.0), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5webkit5 (>= 5.6.0~rc), libqt5widgets5 (>= 5.6.0~beta), libqt5xml5 (>= 5.0.2), libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), python2.7, python:any (>= 2.7.5-5~), 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_3.0.2-1~nd90+1_i386.deb Size: 5687508 SHA256: 0ca922b670f7cc8e7d6e55562e68cb04d5c9bca7ba8b6f7df6f12370a8727a94 SHA1: ab2482a929d38eb3befde74adc0881a068043cb6 MD5sum: e2bd751787567442db79f2344ed08da4 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: 3.0.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 55458 Depends: neurodebian-popularity-contest, utopia-documents (= 3.0.2-1~nd90+1) Homepage: http://utopiadocs.com Priority: extra Section: debug Filename: pool/main/u/utopia-documents/utopia-documents-dbg_3.0.2-1~nd90+1_i386.deb Size: 54840338 SHA256: 6c25e26dc416a1bfec37b3c7150a31567180a7957ad309c9c96b5fbfcce618cf SHA1: 473282bab521d36abf6c1cfed08eaaa3232e268f MD5sum: f68010e0159dc07010444ffa4d944ea0 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. Build-Ids: 08911a94772d95a20e358c90928a070a2e2df41b 0dfd220156399db39344d43dc6c0d933f53debb7 12aec8f21c333c5a5490ac896f9319a52b87cdfb 22c570ef30c07dea379ee982f622165b36977545 2913beea6e8a774b75048ec6fe9fdcdbc3cf1ca5 2b53f00b767792a62d4b7d8cbc4c2238b10a3de1 3f732233790d86de39befdcdb19a298c61ca578a 4bdaaca4ff2be47ed8f7aac19d84885c6dea4c03 546622132bfdde6d66e7f513e85d0160c9a5ab2a 565c4c8846a7ce79a5a01174607e00d092112964 5cbbf574b4bca5b780739a0f0955d43b1deda7dd 60d9e592f5cf3981f337a580236bb14b6a38ec36 63ea398bc4aeb40e01e851bb047fadc1550e6296 712af00615e9e42cf2a16aabcdfcd5b37eb40a35 77b344ad52e0d251c3e71c2b227521c3dbf2f949 783a2dd06e08a1fbb6131dd54226319704bbe66b 8503d495dc0e2d164140ec2631f96af8915268d1 88a1725de8726392c1b64d4b5a21a6ac4bf49fc9 8bbaf1558d14a1012a6c9369ec4b146ecd8e315b 92dfa2ab4a287e1e63f40422265e9b57589cd264 9590b186ddda99890b649ad4a29438950e7db75f 9cc84a78ff09251a434bcf578257d31bd7aaec9a 9edf020d327bdd2885996fc5eecc94e7440dfb16 a060c4a060bd0d0e9b39dc4669dbeaa4ab6e9c78 b430493d0788872a82406503822812691fde080a b64b769fa6474a3da085d176f7da1228a2821f00 c12c9843d0081271e4a382e79fc8972a571e90a3 cbce15aa7c0c2c953213999fbb6ff6b786e72323 cd21705fff35077ef37e5efcbd146f3d27e646a7 d865eaab9b860945496ec9dc5ef70a609d9a18fa da8305608b08de78da97fce18ad29916556149e2 dc16936e4746674793dd6199e712bc3dadf4685e df5f761156f1467baa7a65cd81abc6f5cb1244f8 e5f8467b937060bcfd3d270df23fa8e2fcc2c1f3 eacf5626949892f6d210fb63f28753b6ea25fcb1 f434678d4ea8d39d0e2125b62f10a5614abaab8e f73ed91a2ef1c571867913be12d5951d40390f32 fd33b283586c8071159fc1874366b22f7ab0a84b ff202bc1b8d03a2fe5fa46c958f2a25fc8dcf0b6 Package: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 351 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd70+1+nd90+1_i386.deb Size: 94302 SHA256: 5dd627c0f0fef1d33e9b391099c974fa32036e9201bda7cd8a3758bb9f29a098 SHA1: a8bccb2057d033c0b62ed9db104af0759c108ac2 MD5sum: d2c6b5355d5a196cac204447a54a25b5 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3507 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1), vrpn (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd70+1+nd90+1_i386.deb Size: 922976 SHA256: ffc0f1c69f02665abf445859e923e046da2a0c9162fef594196b71f8d898a3b9 SHA1: 611a5f7eafe6445cd8804f95b920e29da949d5f5 MD5sum: cea7c23ed4d45f54b416d0cbdeb79c8c 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~nd90+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~nd90+1_i386.deb Size: 73412 SHA256: 66b582c1fd6c757f6317ba7225a91b549bed144f5b5635dbd9fd6c4f3b459859 SHA1: 93c36d757d8e5c4bbb614ad7354f1ffb7260dd3a MD5sum: 4603016a86a7bb84c0c084deb5e6f490 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: xppaut Version: 6.11b+1.dfsg-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6067 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~nd70+1+nd90+1_i386.deb Size: 3749182 SHA256: 8524528fd6425416bad49826ecb90860789656cae35a7e0961298db630262476 SHA1: 22bb668670bcdd862758ef102c4ba1a6d1f8c670 MD5sum: 70f2e88df1c8500eeb2cb5c663306479 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.