Package: bats Version: 1.1.0+git104-g1c83a1b-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: shells Filename: pool/main/b/bats/bats_1.1.0+git104-g1c83a1b-1~nd18.10+1_all.deb Size: 21088 SHA256: c32e5e44ee60cc9facc189ddbc84aca60550bf861fdfdd3eee4f8c871fb25b40 SHA1: 7c905d457e3536e156d8dacf51fbb7db9c3b3dc0 MD5sum: 1d2d421bbf71148ac22ebccdb7bab435 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: btrbk Version: 0.28.2-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 4.12) | btrfs-tools (>= 4.12) Recommends: openssh-client, pv, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.28.2-1~nd18.10+1_all.deb Size: 93764 SHA256: ac7d4299a96e91fec27b79e5a44603d5dad4baf04206d8866b5e5dd160cbcd2a SHA1: 99b76e41724066874be9d070f60a79907d3a5d9d MD5sum: 55ebe80140b51d33a0bf8d1f68aabca8 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: cnrun-tools Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgsl23 (>= 2.5), libstdc++6 (>= 5.2) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_amd64.deb Size: 18620 SHA256: 2783bffbc7a3de3d9c92e0f51115530ad6d43f43ba2440d74c5bcc2d8786f309 SHA1: cae09086dd8241db5beb350f4b6bb2651e6dec6e MD5sum: a6cad412d77b4c609ef101e60915ea07 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: convert3d Version: 0.0.20190204-1~nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 63941 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgdcm2.8, libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5widgets5 (>= 5.7.0), libstdc++6 (>= 5.2) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20190204-1~nd18.10+1_amd64.deb Size: 9792528 SHA256: 136860cf60e91b073fb4960d26926712f40630064364d91d8aad08bc186a37d7 SHA1: dafcfdeac77c367b28591606f2e01c20427200ed MD5sum: eead919847952f282c3eda7f0dff35e3 Description: tool(s) for converting 3D images between common file formats C3D is a (command-line and GUI) tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling. Package: datalad Version: 0.11.7-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, python3-datalad (= 0.11.7-1~nd18.10+1), python3-argcomplete, python3:any Suggests: datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.11.7-1~nd18.10+1_all.deb Size: 99416 SHA256: 6ca3ebcd0998fddd30621fed3acf741f79a938bd35bd5ec7cc4e55b52195b831 SHA1: e556f2ce31d3556ecbaaadb6e32a6530582202e3 MD5sum: e445fc77917b7b81930304616cc202a4 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package provides the command line tools. Install without Recommends if you need only core functionality. Package: datalad-container Version: 0.5.0-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: neurodebian-popularity-contest, datalad (>= 0.11.5~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_0.5.0-1~nd18.10+1_all.deb Size: 19420 SHA256: 8c96c5817d407fcac8361f8e8ea9fcc8e4f2997bd73cc0432278ed0f13b0fa48 SHA1: 32c5ed7d27063b69f381830b07adb2881d9275c7 MD5sum: 80fa1e55fdecc5439c19155770e59c69 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20190720-1~nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5 Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20190720-1~nd18.10+1_amd64.deb Size: 197504 SHA256: bde91d66a453bf6e7e612af5c19318b573e9610e619797dc56e98dd52d2d356a SHA1: 4f83dd153c21a5a8517e7039b3ae914839aa5af6 MD5sum: 4f135c57269a4e36363c5724729cefe3 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: dmtcp Version: 2.6.0-1~nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3035 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.6.0-1~nd18.10+1_amd64.deb Size: 708784 SHA256: 84bcc65cb1c1d79157ea2425203af05b17d57f34e81cd325e60e54e1a9e0d1ab SHA1: 0ddf4e18c217e85fad28c463eda8a15337dd7a9f MD5sum: 8fba0489c5f4a6c5464312ca3e573e99 Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of applications 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, MVAPICH2, MATLAB, R, Python, Perl, and many programming languages and shell scripting languages. It supports both TCP sockets and InfiniBand connections. With the use of TightVNC, it can also checkpoint and restart X-Window applications. The OpenGL library for 3D graphics is supported through a special plugin. . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.6.0-1~nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12061 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: optional Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.6.0-1~nd18.10+1_amd64.deb Size: 11544608 SHA256: 14ef66169bf171b68259a5e95f46df64460e9852df3ac2161a90c73e38d88f2c SHA1: 3395dc8d23fc3440bab3fd8c8c54f41d0d62cc0f MD5sum: 52ac6012e443b227ae9953ee8c6500e3 Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of applications 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, MVAPICH2, MATLAB, R, Python, Perl, and many programming languages and shell scripting languages. It supports both TCP sockets and InfiniBand connections. With the use of TightVNC, it can also checkpoint and restart X-Window applications. The OpenGL library for 3D graphics is supported through a special plugin. . This package contains debugging symbols for DMTCP. Build-Ids: 14614acd5e03225f315817c0f71cc5ecb1398adc 1596c9d04e460e41d1d865c333100ba027624d02 26ee82fca4618dcd66769bb1f14a19fb3b23b4ec 270ea1ca6ad9c9dd56c510f1c416310278e55d0b 2964d5a89af7c7653f1dbb71986505c632e0b4b0 38115eb2c0ca48e7204776d5ea372ffbd4426e35 3ae29d204ba3543fc44e30d5a291bd1cb3355c09 49e6c74b2e046074efef8acad1ae2156a74f6cc9 564b07c99cb908210f459603068c94a462081443 7158d18beb66f8d10133efeaf84e74f1b771799f 9754727fb11be94755057fb7ab173f3024a98071 9a9857ededa7b8d79e5ed7da23730f9d35f91b82 a2330315784690e60d2cd171bb4416157e7759c6 b10c6c78889741e1c03458f619d54eb8535f5cf5 b38d896cad0b3fd74650014586bc882c6d85676c b5373a5596678a854fccc288a00aed71901dc6da d301cbdcb7c314ddfdf2d7534ebb998d6cc614c5 e89991bcf84a7964d31a405d65da3486b2312a60 ea41300c8e9f5dfc1bca975169aeaf63b44d4e56 ebc40b9fa8be3ec68e5dc4d199edc44bf9214cec fec742c89e09d55e0aa3f3a31a45cac986849335 Package: fsleyes Version: 0.15.2-1~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 242018 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-indexed-gzip, python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 28080288 SHA256: 24ac6849452db34713acc9a501460eb415f8fff637e83eecb55d972d4f7b9342 SHA1: eb753256ac0976d30b96149719f63a393c170e8b MD5sum: 7f3f92a6ec1d50a538ea29e1ff65240b Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 7.20190819+git2-g908476a9b-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 184189 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, youtube-dl, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.11.1~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_7.20190819+git2-g908476a9b-1~ndall+1_amd64.deb Size: 64134894 SHA256: bc7d8291aa81c8e4427ac7ececab2ad92bfde095c91b782ff9344b76618e5b35 SHA1: cff95217b97d95912170e062cfa238c57410a3fa MD5sum: 0ea5994957513670410561a78f4f6f89 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: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: heudiconv Version: 0.5.4-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 976 Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-nibabel, python-pathlib, python-numpy, python-nipype Recommends: python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.5.4-1~nd18.10+1_all.deb Size: 251416 SHA256: bba2ce42adf9e3d123fe670194fbeba29636a8a7a40cbd489803bd7850f90ef9 SHA1: 5c07dfe61cc6a71691d31bb095e639333aac747c MD5sum: 88c14226eb4844c485dfa91b8604eb2f 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: libcnrun2 Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 297 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgsl23 (>= 2.5), 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+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_amd64.deb Size: 82940 SHA256: e6164257bbec4bbd2f9781275828ed41030f32dae155d27e201e5b5b0bf21a61 SHA1: 65ec15218bfca0b147eed6e7a2713a769475bc08 MD5sum: 79b0a66d4f5bfbae82e1716472b335ac 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-dev Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+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+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_amd64.deb Size: 21664 SHA256: cef9c2eaf0f1f295c72cca153101059d7baac404bba90cd46183e3735ee05854 SHA1: 602327108f933e21354961becfd7e029e6e1fe6f MD5sum: 8aac633bfc9df7e39b2d0c6c5596f864 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: lua-cnrun Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 130 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+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_amd64.deb Size: 39588 SHA256: 20ddd9cfb5b1f847fa2a7e65d36c163d3928ea9c0d8d525199763f06a7d97535 SHA1: 8321d252c2548498c076498bccd74abe7e4b0a78 MD5sum: 7350d3fa85d64dcd0d2aad6b02c04010 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: mrtrix Version: 0.2.13-1~nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9872 Depends: neurodebian-popularity-contest, libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1v5 (>= 2.54.0), libglu1-mesa | libglu1, libgsl23 (>= 2.5), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1v5 (>= 1:2.24.0), libsigc++-2.0-0v5 (>= 2.2.0), libstdc++6 (>= 5.2), 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_0.2.13-1~nd18.04+1+nd18.10+1_amd64.deb Size: 1337452 SHA256: 1aec470d784bea13e452609c1813d0dbc881a5da6e3e218a6c01858062e33c81 SHA1: 74f2112a07b2b19e8b8f226390f404650c1a83b2 MD5sum: c37b87d69f57eb5421124ed35345f9d9 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: 0.2.13-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3402 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd18.04+1+nd18.10+1_all.deb Size: 3180332 SHA256: ba118673f3c1101da2f361ee8c9d4afc3ad36e77b921c20409c459714bd27ebc SHA1: 1429790b372648a3dd61a134a4e87f20c623c913 MD5sum: 5906cce15f9151685edc98baa22a1f3e 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: neurodebian Version: 0.39.0~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 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_0.39.0~nd18.10+1_all.deb Size: 34184 SHA256: d00f44d510b790b829fb66afc867c6188eb00878d7934e75eb0081fab5142030 SHA1: 8a7f38c160c0f2fcc6190f8957038d3f6cc0aa90 MD5sum: 5f2e73c5b0c4c4dab901ad52c3a85357 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: 0.39.0~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 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_0.39.0~nd18.10+1_all.deb Size: 11168 SHA256: a4362dae57d3d9357d5b4b071322b1557032cd74fb47150536bd2eed61dd3b21 SHA1: 7379ea28d8ebad16086da859db21e6945cc8dd4e MD5sum: 8dd22d8725919d80721c3b5f67b4fad0 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: 0.39.0~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 190 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_0.39.0~nd18.10+1_all.deb Size: 117020 SHA256: 4e917d28fa6be5990470da2793317746beb59aca7fec2984293c9e62083d973a SHA1: ee9ec37d14d7fc467f77b3669b1f53ad22c253a1 MD5sum: 6b2312e7f9e629b52f97a3c763f7467e 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: 0.39.0~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, python, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.39.0~nd18.10+1_all.deb Size: 34036 SHA256: 68f2228a50ecc74d40587895732bf2d04c9e0d258913c9ff48649856648063bb SHA1: 1338652b6ed2d84be3c03bfbac0d7ed9df975a4b MD5sum: 12c6136f0a29108bf31f7451732635b2 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-freeze Source: neurodebian Version: 0.39.0~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 37 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.39.0~nd18.10+1_all.deb Size: 14988 SHA256: 4808dbecfa4cda67d7a71dd1b47aacc37ffa6a779c54ecb19e03b680ec2bf4d7 SHA1: 0726c4ed766903b7fcd4c0d373d792aad93e4ea8 MD5sum: 9d685536237c546d0e9c926c7c465f42 Description: nd_freeze tool to freeze APT sources to use snapshots 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 minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.39.0~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.39.0~nd18.10+1_all.deb Size: 13196 SHA256: f3f1a9cb92bcf79676b2c1e33267d2905fb1a97005b8c6f256de96aca17130c5 SHA1: 1582f71a17427917c6650711f2b70fcf04639bd8 MD5sum: 6948eb88b42b0693c71e291081d9fbf6 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: nuitka Version: 0.6.3.1+ds-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7350 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-appdirs | base-files (<< 7.2), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2), python3-dev, python3.7:any, python:any (<< 2.8), python:any (>= 2.7~), python3:any (>= 3.3~) Recommends: python-lxml (>= 2.3), python-pyqt5, strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.3.1+ds-1~nd18.10+1_all.deb Size: 801764 SHA256: ada56b7bad3d997c5781bd749662810321001f5dd7a869c7fd50bc04029ffb53 SHA1: f66725c3153c88d67e090a0ff48e5e626c9994ff MD5sum: 4d291ee1a6fe94f6c452eb4a0a4c8312 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: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4692 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.0.0), liboctave6, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.15.20190725.dfsg1-1~nd18.10+1), psychtoolbox-3-lib (= 3.0.15.20190725.dfsg1-1~nd18.10+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.15.20190725.dfsg1-1~nd18.10+1_amd64.deb Size: 901676 SHA256: 539f1ad82e7b7e24be7bd96d01be270ec7eca2390ce8be488ebb699306774948 SHA1: 4ab54cbbeb4ec0ab403a65f8d17eaafe00ede2b9 MD5sum: 583b40de595d0bfb947f757314be5136 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: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253689 Depends: neurodebian-popularity-contest Recommends: alsa-utils, libgamemode0 Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.15.20190725.dfsg1-1~nd18.10+1_all.deb Size: 23919968 SHA256: bcda89941b5e9ec321aececeda4d06e1483a6fd8b420afac73969a2d1da8bacc SHA1: 9b4dc8cd8231c28d0ac87cd0af2e8981ed653d32 MD5sum: 8865b4aebf3db0fcf64d58eb86c91d3b 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: 3.0.15.20190725.dfsg1-1~nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10178 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.15.20190725.dfsg1-1~nd18.10+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.15.20190725.dfsg1-1~nd18.10+1_amd64.deb Size: 9115296 SHA256: 1e8e34031107e6e21192dd85177ed50c0386fde3baaf39fb34cff68d55a17ac0 SHA1: f7006618118c5179a720e708cf266d213432cb9b MD5sum: 812221bd9e92942d02b920dc570dd09b 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. Build-Ids: 1be517b09fcf1b4adbaa726e5d01b61a3d59d16e 36e8162babfee6243d72bf0ae5cc0bde15de694d 82ea225a7b2a1d609af53fd094e7059c225e5bfc 89b5e11f21df0e30e8ca2321a10c4ade3414d14c b40951017ecab2c08fed45fa3fd8b6a0d4d3252e b4ad1a7f9feb1f4c13e90f4851b19665eff8a6d6 b6fa8184e0ea984c779016d04dca82e9819bd8dc c501c609a3397ce7dd0d6d585a23d780db6fe3d1 d5180486596ed8851592491e9cd96ac46854c2af d8324c3e2815fcfe260d8050d1fc8e10657b2e97 ec4e586d15cac0c88b827dbd9a063a91317ebac3 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), 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: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.15.20190725.dfsg1-1~nd18.10+1_amd64.deb Size: 74948 SHA256: 212b72f799a26156a59dfbfb809796f4350dd90c967dbaffa27f3706e94b81af SHA1: 8a10295b9060736a8b56a4761c0d188ba339a533 MD5sum: 3b304caf7c37357de41cd20df17b373b Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: python-datalad Source: datalad Version: 0.11.7-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4568 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.11.7-1~nd18.10+1_all.deb Size: 948816 SHA256: 042966b3b0bdba4222c009d835d94e2bc87ea977dd93a6ad6c91567dbc5a7df6 SHA1: 0c2b19c1a4c4fa775a8108749e43f1ded2880a78 MD5sum: c6a5e548ab9e489778733feaa144d910 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.7-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python-pydicom, python:any (<< 2.8), python:any (>= 2.7~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd18.04+1+nd18.10+1_all.deb Size: 76516 SHA256: e38974bf84bbb6a11fc33d7768a045467d27d0ae2e9519d6a9e7baf8b1f67835 SHA1: bfe0b0326c9cbac143ffe19f435fedbd58d885d2 MD5sum: f01d1c3859b8c20b46818d2a412b8778 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, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python-dicom_1.2.1-1~nd18.04+1+nd18.10+1_all.deb Size: 4952 SHA256: 80af9d0ce8823152776bb64ba197b7a0379a1f650cce1e0854e3d65c3286f97d SHA1: 804c323b96eb7253e3c04fd9ee0840a5eeaf157c MD5sum: e311448ea9bb3adab365e8b115d6963e Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8631 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd17.10+1+nd18.04+1+nd18.10+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 3046660 SHA256: a9e403e587460e64935fc20229f64cd161e90e5d443ee22d7e44885e0f3861b6 SHA1: 9fe86417ee3befce5f6f9da5098fd6e4c4103658 MD5sum: ae39c930df89895f56d42c304d2892b7 Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16483 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 12640096 SHA256: f24390555e2b530cf8db8865e0107de442d52750dc2ba9676d622629d76bb573 SHA1: 2141db644b5bfc1e1591d1b4a830127a43e72271 MD5sum: 318826ce1fc981604b0791e8b5142e50 Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.14.0-1~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11775 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd17.10+1+nd18.04+1+nd18.10+1_amd64.deb Size: 2153600 SHA256: 21ef544555d8501d28673a17ab2133aadeca29b0bf060bafecaa1b48e4efe1ed SHA1: dffe99f48e7ee8e938f6e4929416c308fa6e9a8b MD5sum: 6cd1f058e180714b3bc16417a0e56d40 Description: Python library for the analysis of diffusion MRI datasets -- extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-duecredit Source: duecredit Version: 0.7.0-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 246 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd18.10+1_all.deb Size: 53336 SHA256: 8fa8b952485aff3f97ab260a5c5ab518a05ef9ab5a1f74d9519c1f19838c3dfd SHA1: d5a611c2c364ee73d99fba356f30ee4e3f76b145 MD5sum: c785ec206c0d8a02d2c05628e3f912ed 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-fsl Source: fslpy Version: 1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-deprecation, python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7~) 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_1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 84360 SHA256: b37de08bc92d4a71601e0977397d5f7b41ff56f6f2642fc2811eacc099c9bcf0 SHA1: 7ae8e11914579e9d819221ed5bdfee41476dcf90 MD5sum: d6da7dac6063ca85412cf60315f3a884 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 75472 SHA256: a3c7bf4f0ea16f1901a297cfdcb2cbd71dce96a67c9de6d5b21672a21f6d1111 SHA1: f80810cff90c93a3bfb0d079f28b08baee55fee7 MD5sum: f0da0b1d5b0cd4318b48521dd592f971 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-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 374 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 69028 SHA256: 7ee8416939cd22bf3dd81b8bdc42128bc1a752ebf015d65b73fd56590cae05b7 SHA1: a13cc8a6f42600d46b85714f383dd272534e70d0 MD5sum: 4eb8b6b1a9b2e8acafb19a19a29d3b57 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-github Source: pygithub Version: 1.40-1+nd1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7~) 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_1.40-1+nd1~nd18.10+1_all.deb Size: 55580 SHA256: fad36ef5f62946c165709672366a7a34c567f904c0d52b9ca1fe3857e0deb755 SHA1: d08eb12ee7146ab5fb22b43e70b22a4d5919dd15 MD5sum: 0c8a86ec2b8eb4232595e444f931fe07 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-joblib Source: joblib Version: 0.13.2-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.13.2-1~nd18.10+1_all.deb Size: 192420 SHA256: 13d5b3153c85834502a218f31439e3dfb6b97b48d16ac0d601e0492e95aaf2c1 SHA1: a32e5ffda10fdc39701fc921c07436cec7af0198 MD5sum: 9371e853e31da141cfdc580cc8411107 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-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd18.04+1+nd18.10+1_all.deb Size: 23440 SHA256: aaad06eb0334b193aa4f706223ae1cdcdd3bfc5eb27f4ed7b1bdf8ced84c5ecc SHA1: eb03f10c86500659929ce0386ae821c1ef1afad7 MD5sum: 4442b4545fc5511295a55f174993a5b5 Description: Python library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python bindings. Package: python-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-libxmp, python3-libxmp Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd18.04+1+nd18.10+1_all.deb Size: 37380 SHA256: 0b4b121389972c82252dfb802ae2e8ab2d03cd48a6ea926346ed1914f999bfc1 SHA1: 08c51e684eafc088d524cfb862b9dc258d5785ac MD5sum: 8b5105e3b484cf83d2c395e7847d5abd Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python-nibabel Source: nibabel Version: 2.5.0-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65832 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-bz2file Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.5.0-1~nd18.10+1_all.deb Size: 2648760 SHA256: b5e079ed93243c148d7046f027a425903472f2cd579506d3b9529512162f4368 SHA1: a006b46edda51287b047ba27984e4d259fa7fe9f MD5sum: 6609450a1d528750945d574ee658e27d 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: 2.5.0-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9275 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_2.5.0-1~nd18.10+1_all.deb Size: 1485912 SHA256: e9189ea8f03ef7263e166e3691667eb67eb5c2b2a01d1093af57802f7f3f8707 SHA1: ff930ac1e27c9a0b175d1fabcce528d7fd073eb6 MD5sum: 82dc21c46c2ad87d66e80a4b0964025e 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-nipype Source: nipype Version: 1.1.9-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10996 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd18.10+1_all.deb Size: 1889844 SHA256: f327ee8a6e7ebf38f38090920f95f570f088d931a7ad4b18d56923cbe10f8a62 SHA1: a03c7463a27f5e1a9565103e975b595eaeabca33 MD5sum: 3d69702ab7fd8c99a7fc20a075863edd 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: 1.1.9-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38766 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_1.1.9-1~nd18.10+1_all.deb Size: 17618396 SHA256: 77df54189964ad510ab29a5e0863470d8dc7f074c4b1d4b4ffd1acf1895ed0b0 SHA1: daf374253869a8605bf42429a5a4b69205048c17 MD5sum: 01c487c8b9527e68fb7b944309dd48e2 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-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 780 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) 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_0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1_all.deb Size: 168512 SHA256: c3d3c9f27bff7debc0150f38401c48c536bcdfa60d656a84ab27b981ab3f2bc3 SHA1: cf8c1fcbfe606dc7470bc06a48f9ddf409e27917 MD5sum: a43101888bbc23fff21723400d080023 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: 0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1199 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_0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1_all.deb Size: 344312 SHA256: d6050a0a5e286bffd8e48f4bad949d91e349425498291ee2438ebe84fa0c0239 SHA1: 4d452929deac6fb2c662b7affc7c583b551b5f2e MD5sum: 1cdd78047a08ecf0f2eb205f5722a83a Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pprocess Source: pprocess Version: 0.5-2~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 83136 SHA256: 6991a41afee97d6fe499628bd80e14886f30b840410e11b5dd33cf0eb7f66a39 SHA1: 6dbf32f84b2ba7b6e3e57959b893b51610327921 MD5sum: b5ae42157921ba6dec65fa8b513fb2af 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. Package: python-props Source: props Version: 0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+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~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 117480 SHA256: 349c31a83deb871eebd4da0697b47cabd322a4596d03af076a7b91c9339607ef SHA1: 35e4c440a675c978ebc36526bec930fa9773e51f MD5sum: 070d039c94f75ad388e9c54f8422f60f 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-pydicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pil Suggests: python-matplotlib, python-gdcm Breaks: python-dicom (<< 1~) Replaces: python-dicom (<< 1~) Provides: python-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python-pydicom_1.2.1-1~nd18.04+1+nd18.10+1_all.deb Size: 4397200 SHA256: fb39d1a2c0baaf19ba331f62307ec12f86f2d0a2685c4ec51f624f2a88fdfcc6 SHA1: 972c44497368583ad11d149ac3ff8bb83ab3cad7 MD5sum: 914dac81a143f69d835256059a2595a6 Description: DICOM medical file reading and writing (Python 2) 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. . This package installs the module for Python 2. Package: python-pydicom-doc Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2806 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.0+dfsg) Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd18.04+1+nd18.10+1_all.deb Size: 337300 SHA256: af48a39d248777f862852c73bac1ccbdd62d053b64a44df2c8ea5eef5a2c26ef SHA1: 9e80ec3d9f6218a7fc27b265fa7422bf01e13de0 MD5sum: 864cba70c35e91d60d301e27157f319c Description: DICOM medical file reading and writing (documentation) 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. . This package contains the documentation. Package: python-pynwb Source: pynwb Version: 0.5.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python-dateutil, python-h5py, python-numpy, python-pandas, python-requests, python-ruamel.yaml, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd18.04+1+nd18.10+1_all.deb Size: 98164 SHA256: 031140e1eba9df5a47e80f7a33fa4c60527dbce3502644abe7c2aee85f15a24c SHA1: 1b25cc4c50cbc0d7018956e0ea63ffeb34839e12 MD5sum: be6f5a93386c6f57f1c04b17d0d749d8 Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+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~), 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+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 68348 SHA256: 4093b834bcc772a62afd805ec2aa192f77faa1300ab946a4e979313179cce407 SHA1: cc4ef894ece6ae6f951686f0cfa0025f08b96fac MD5sum: 2a42d36df604b86de448ef896333cbf5 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+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+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+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 319132 SHA256: a55b7f81f5082beda71d1f9e9d62f91e6a386bede0ba2776eb663ef6e23e7eb0 SHA1: 20d48bcc1216f3a3eabd4866511e98f2cd064220 MD5sum: f572e07f94355a33b046abc3d9a89ea9 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: python3-datalad Source: datalad Version: 0.11.7-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4568 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python3-appdirs, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners, python3-git (>= 2.1.6~), python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests, python3-simplejson, python3-six (>= 1.8.0), python3-tqdm, python3-wrapt, python3-boto, python3-chardet, python3:any Recommends: python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.11.7-1~nd18.10+1_all.deb Size: 948940 SHA256: 669c09cd8d6490cf2a299e5b0466dd7dc57ac3522c7885ca8f9cf5bcd283bc72 SHA1: a18ff65108cda7e181c17bbb885cc20179649062 MD5sum: 1816d70b25f56a48c2e639068c68ccd2 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.7-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 186 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3-pydicom, python3:any (>= 3.2~) Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.7-1~nd18.04+1+nd18.10+1_all.deb Size: 35488 SHA256: 3d169be18683f5222a82a2ca87cda568ccee1569a98bd10b7f73b14cba73445d SHA1: 9c8a876e9682907d6cd1dba0c1ba493cc3dc394a MD5sum: 2b0f14cfdd95a36128d7525a9cf38604 Description: DICOM to NIfTI conversion - python3 package 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 Python3 package. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python3-dicom_1.2.1-1~nd18.04+1+nd18.10+1_all.deb Size: 4952 SHA256: bb7916879010bd852bf40b4108b14036ae87be15772f7c40150b3b6206edd89e SHA1: a81da1ca4b29b84b955bab1a862106330fdb6927 MD5sum: 1c0ea63fdb91b42df0ab4574eeb08ae0 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd18.10+1_all.deb Size: 33652 SHA256: 221cfa690bb877370b30db7672823ceadd4232f6d46b66b8863b6add2fa21689 SHA1: 245da8580ef977cc2e3196309b583043e0a8b11a MD5sum: 3d0a29cdd7d18fbfced25303ea57179d Description: Python module for Disk and file backed persistent cache DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python. Its features include . - Django compatible API - Thread-safe and process-safe - Supports multiple eviction policies (LRU and LFU included) - Keys support “tag” metadata and eviction Package: python3-duecredit Source: duecredit Version: 0.7.0-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.7.0-1~nd18.10+1_all.deb Size: 53572 SHA256: 24f11d8ce96e025e80b8aee2e3f835c16728f2c8da33aa3c70426aa41e67b2ce SHA1: 9098213c20bf19e4221d08d702477e0e601c85d7 MD5sum: ad414746cd4930cfa7f5d83b3b964e8c 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: 1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-deprecation, python3-indexed-gzip, python3-numpy, python3-wxgtk4.0, python3:any Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 84372 SHA256: 5c989f43792b5ef37f821954e2666222eaeb267764b51c28811692e967430969 SHA1: 7f59dc8b634105ec7f7a3558b24f59b00577bd58 MD5sum: 5fce8dbb1d59cb5a4a414c6739bc040f Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-github Source: pygithub Version: 1.40-1+nd1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 805 Depends: neurodebian-popularity-contest, python3-jwt, python3-requests, python3:any Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.40-1+nd1~nd18.10+1_all.deb Size: 55632 SHA256: 9c6136270fa60920a2c3f53e7255d080240a82e9355f77424daecf04da469141 SHA1: 8ff21b95c9d40e9b330481ecc6b4566a41deebf7 MD5sum: 2edfca08552e15313ba6fa155f7ee1e7 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-hdmf Source: hdmf Version: 1.1.2-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any, python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd18.10+1_all.deb Size: 63652 SHA256: 8e8447e2ee15aefbc970af046ee4e12aaa62096399e0b1a067dd005e9033502f SHA1: 1e08c7f083ac9e55adecbdaba7d0ff8d956f8e78 MD5sum: 10f3ad5f661c5be29128678454f08243 Description: Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework (HDMF) is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object. Package: python3-joblib Source: joblib Version: 0.13.2-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd18.10+1_all.deb Size: 189356 SHA256: 898043884c7febb0f13d917a53d97c3636d3f2b173d5bcf2b51f08924b58e663 SHA1: 755edd0b9d7514341c00fc2964ce7da50c0f7258 MD5sum: 5df63bd901723e6bfb8de09bca91162d 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-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd18.04+1+nd18.10+1_all.deb Size: 23524 SHA256: 27f64fa73c22cc9b65ad4886fbfffb1fd3c3d08d50ff92f654a7ddb2fa6a16d7 SHA1: 4f0bc375854330ba887816360cb1d8133a9f66b8 MD5sum: 0fac9ad5fdc1a8694964e0c12cc06336 Description: Python3 library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python3 bindings. Package: python3-neo Source: neo Version: 0.7.2-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3484 Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any Recommends: python3-scipy (>= 0.8~), python3-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python3-nose Homepage: http://neuralensemble.org/trac/neo Priority: optional Section: python Filename: pool/main/n/neo/python3-neo_0.7.2-1~nd18.10+1_all.deb Size: 1309016 SHA256: 7fde654f6cbbece0ed58e2217cbafce219bed3418a954916058205dd119a7694 SHA1: 5e424c19b3d5eb77120bc790be61204582e771d5 MD5sum: ad28c61a59d329de8bad1b45d4526ebb 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: python3-nibabel Source: nibabel Version: 2.5.0-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65817 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any, python3-scipy Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.5.0-1~nd18.10+1_all.deb Size: 2644772 SHA256: 72e839688dad5a994ec77b326d0c753750291b2cf1fefc5e3e02c77c9229e39c SHA1: c4e527eb7ddb97f25123c4235ed5c998aa46f051 MD5sum: a4b2ba09ca9924632a2f8ce789bd8081 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-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1_all.deb Size: 168496 SHA256: f997b1e563ab297e8ebc54276bfd9562e457bbef27f49f07b64d97ced6fe6468 SHA1: dc1f8bfa5b15a16c7eb244650467b7a13ab7dcd2 MD5sum: 48627681adce48307ebe25c54f69ae42 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-pydicom Source: pydicom Version: 1.2.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any Recommends: python3-numpy, python3-pil Suggests: python3-matplotlib, python3-gdcm Breaks: python3-dicom (<< 1~) Replaces: python3-dicom (<< 1~) Provides: python3-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd18.04+1+nd18.10+1_all.deb Size: 4396980 SHA256: 9c84a54ff4dbfeea43f7a40954dfc26282e9a7d349a83d3ed1ec8a5cc7119bbb SHA1: 2afad309201080f2e0ca420c822b07d76d551676 MD5sum: 8737fe5d45968d220e1c8f978ab957bc Description: DICOM medical file reading and writing (Python 3) 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. . This package installs the module for Python 3. Package: python3-pynwb Source: pynwb Version: 1.0.3-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-chardet, python3-dateutil, python3-h5py (>= 2.7.1), python3-hdmf, python3-numpy, python3-pandas, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_1.0.3-1~nd18.10+1_all.deb Size: 60496 SHA256: 2eb5a68495de8d7798e4ed72a2da0f862e3d9b55d3e4f6cafda039b742501158 SHA1: 59952891ae6f4c440acd66ce6f53c63a7f90c5fd MD5sum: fde10e8e50bd8fb657c0c94438ea3a4c Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python3-quantities Source: python-quantities Version: 0.12.3-1~nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 351 Depends: neurodebian-popularity-contest, python3-numpy, python3:any Suggests: python3-unittest2 Homepage: http://packages.python.org/quantities/ Priority: optional Section: python Filename: pool/main/p/python-quantities/python3-quantities_0.12.3-1~nd18.10+1_all.deb Size: 55248 SHA256: 10ff00301808b611090e13b8b4a8cc740370568d3e4f3c84ae0483d0237bdaf9 SHA1: f71b9a0a62f9931a603de041ed00d6615cf7cc0c MD5sum: 6e16e557d1baf480e8df1bf1f4bb5725 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: python3-reprozip Source: reprozip Version: 1.0.14-1~nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 236 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.6~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3~), libc6 (>= 2.14), libsqlite3-0 (>= 3.5.9) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: python Filename: pool/main/r/reprozip/python3-reprozip_1.0.14-1~nd18.04+1+nd18.10+1_amd64.deb Size: 46784 SHA256: 1c54a9b08e37858e0092451374995c643eb41a276bb4aafb53a577ee206747e7 SHA1: 5a480e5a3cd67babd63383533f763283be86dbd1 MD5sum: 93668dfdeed62fcc6b543aa2298b9dba Description: modules for the ReproZip packer ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the modules for Python 3. Package: python3-reprozip-dbg Source: reprozip Version: 1.0.14-1~nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 560 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.8), python3-dbg (>= 3.6~), python3-dbg:any (>= 3.3~), libc6 (>= 2.14), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd18.04+1+nd18.10+1) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: debug Filename: pool/main/r/reprozip/python3-reprozip-dbg_1.0.14-1~nd18.04+1+nd18.10+1_amd64.deb Size: 191328 SHA256: db0fb6c0e5817691ba35968f4bc847639825fd26e9ae8d0cae6a1d688b7800b2 SHA1: cd09d3b50fda90f5c68c1c7cac447237566923e3 MD5sum: f915a51d8907137588f28af692c5242d Description: debug extensions for the ReproZip packer ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the debug extensions for Python 3. Build-Ids: 2e3c5237333af31b510c31ff1c1b79f86430d5e9 7899172d1af8f3cfd77ec8c380579d1e137017aa Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.0~), 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+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_all.deb Size: 68140 SHA256: 1633b482abb4c6d42b25a621b9342f7b1407e80471b707443889b81bdc685185 SHA1: 90da10525f1ec5d2a4dc14295b6af5c61000fad1 MD5sum: 9e310f6c1bd5d596ccc53a74f4bf6458 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: rclone Version: 1.41-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 19633 Depends: libc6 (>= 2.3.2) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_amd64.deb Size: 4810068 SHA256: b62160db730a2285a36444f0eb30a9f4c6a67957e03fff27de9cc3f8a7ecd689 SHA1: 68368135f21e5fa81d2904f9391054208697d5b3 MD5sum: f58523511ec0a1334697803e366f753e Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: reprozip Version: 1.0.14-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-reprozip Multi-Arch: foreign Homepage: https://www.reprozip.org Priority: optional Section: utils Filename: pool/main/r/reprozip/reprozip_1.0.14-1~nd18.04+1+nd18.10+1_all.deb Size: 3700 SHA256: 68f6e9f7f767d1395fbaca9fb642145438bd444a8763b3210fffd4c803094d74 SHA1: 3f117021d3fd58205697bf4f836dfc6db6e80f63 MD5sum: e60792bcb0a5aaa5e9344499ca9b7c3d Description: tool for reproducing scientific experiments (packer) ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the ReproZip packer. Package: singularity-container Version: 2.6.1-2~nd18.04+1+nd18.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2576 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.27) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2~nd18.04+1+nd18.10+1_amd64.deb Size: 354120 SHA256: 01ee436227fe38998976ea963a468f2674f4edd9b57d1d09218adf312dbd389c SHA1: d815fcf7d9e9d063c21b9546864a9fe9784936fb MD5sum: f960f744c07a74fa082e10eb4069633e 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.