Package: btrbk Version: 0.27.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 323 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.27.1-1~nd18.04+1+nd18.10+1_all.deb Size: 91140 SHA256: 53807e4d31aad87165194b010a503d93f8a760736be2746e6df97d2455de4501 SHA1: b4b2b8b84ea730330af3346cd6e0e3c529c86c1a MD5sum: 1b4a30584503eaf6fa64a381071c647b 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: convert3d Version: 0.0.20170606-1~pre1~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60007 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), 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_0.0.20170606-1~pre1~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_i386.deb Size: 9532636 SHA256: a833d9a23932224a1c73d92fff88bd1d5be92f3231dd0574cc9802fe3148a248 SHA1: eaa09a9d77e6474cc8cace963b42d03636e3aecc MD5sum: 26d065276273f7e3b0ed4fd3c996c70a 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: copyq Version: 3.6.1-1~nd1~nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5018 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.11.0~rc1), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 4.8), libx11-6, libxtst6 Recommends: copyq-plugins (= 3.6.1-1~nd1~nd18.04+1+nd18.10+1) Suggests: copyq-doc Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq_3.6.1-1~nd1~nd18.04+1+nd18.10+1_i386.deb Size: 1396508 SHA256: ad80507e03ec13f2b0c6aa49862666659914a661884cf9fb448ea6c8f05567a4 SHA1: 062fe46a2567e041dc192d8e7b4a700a430eb49d MD5sum: 606c3352cf5aa4e4003ea0daef2c082e Description: Advanced clipboard manager with editing and scripting features CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . Items can be: * edited with internal editor or with preferred text editor, * moved to other tabs, * drag'n'dropped to applications, * marked with tag or a note, * passed to or changed by custom commands, * or simply removed. . Features: * Support for Linux, Windows and OS X 10.9+ * Store text, HTML, images or any other custom formats * Quickly browse and filter items in clipboard history * Sort, create, edit, remove, copy/paste, drag'n'drop items in tabs * Add notes or tags to items * System-wide shortcuts with customizable commands * Paste items with shortcut or from tray or main window * Fully customizable appearance * Advanced command-line interface and scripting * Ignore clipboard copied from some windows or containing some text * Support for simple Vim-like editor and shortcuts * Many more features Package: copyq-plugins Source: copyq Version: 3.6.1-1~nd1~nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3103 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd18.04+1+nd18.10+1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.2.0), libqt5widgets5 (>= 5.11.0~rc1), libstdc++6 (>= 4.8) Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq-plugins_3.6.1-1~nd1~nd18.04+1+nd18.10+1_i386.deb Size: 658568 SHA256: e0f28115ca59ba869c79ec47907a23c6d083dfcd49aa72cd07811831e180a41e SHA1: ca0ff15ee55d8559a7119568619ae33ee214d0d1 MD5sum: 8e86be24aee9af1e1a1b94b7ae4c890e Description: Plugins for CopyQ CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This package contains plugins that add various item types support and features to CopyQ, including: * Text with Highlighting * Images * Web Pages * Various Data * Notes * Encryption * FakeVim Editor * Synchronize Items to Disk * Item Tags * Pinned Items Package: datalad Version: 0.11.2-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 129 Depends: neurodebian-popularity-contest, python3-datalad (= 0.11.2-1~nd18.04+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_0.11.2-1~nd18.04+1+nd18.10+1_all.deb Size: 93452 SHA256: cc390ec75b205044ad52c8f17435c7d05168656e1aaae1e5b781216191a93652 SHA1: 41ab79d4dcde5508bd10444fd8db8b9c9b2049f2 MD5sum: 014612d85a02c8cf6c6d58de8a112500 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: 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: 7.20190129+git78-g3fa6be1fe-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 175882 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_7.20190129+git78-g3fa6be1fe-1~ndall+1_i386.deb Size: 65205006 SHA256: 9aef1e305e150ffd205c2d312795126905c4157ca63e9a71e7814e9b381cc2b9 SHA1: cfe2b592b63548400d4ad6cd6ef543f3700c85c4 MD5sum: 24a2ab978850e0f5fb7463c151c27c4c 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: 0.5.3-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 958 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_0.5.3-1~nd18.04+1+nd18.10+1_all.deb Size: 246360 SHA256: 95fb778956e091c908c8ebeb57dbd9203f10b867758d604b38f39781f7f2e27c SHA1: 4a9d738309593503c458803ca65e612ee62c1e04 MD5sum: 27591a3e9078223748edb04e65b1dc39 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: mrtrix Version: 0.2.13-1~nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9534 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_i386.deb Size: 1503308 SHA256: 7197a0812a970499f114bcb9496ece4d3b28b981dd97dc91e67e6d8d60f9730f SHA1: 88b78ddc987539f61ec18c6a39bf997e643d6cae MD5sum: dbcbceda1d6b2c1561046c8128ed8394 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: python-datalad Source: datalad Version: 0.11.2-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4355 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_0.11.2-1~nd18.04+1+nd18.10+1_all.deb Size: 906820 SHA256: 09a0961ef6a4d218b261e26a9e88268b955e981fe4cc8fb85e275d39b670a545 SHA1: b1acf98631b614a9e470b4c2ecc3d72b7c7000d9 MD5sum: 412f8a72be2af98b463dfa1eb5ecc7d3 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11159 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), 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_i386.deb Size: 1689968 SHA256: 7038a49437a88cbbce35a80e86a7ef9181989cb3bc8be1aa1c91755dd40f9946 SHA1: 328be0f95db2b507796713af709ef1d83af034d6 MD5sum: 78938b82ff048ea292b318c5f973d2dc 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: 0.6.5-1~nd18.04+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_0.6.5-1~nd18.04+1+nd18.10+1_all.deb Size: 53148 SHA256: 71174038b9421ec5e75775230cda100c25ca63414e7734c21042029d1690f76a SHA1: 8c8d3b2b3c0c8065722b4ef7833f200fd245fac1 MD5sum: 7cb1e7cacf13ad8fb7d06024c016fa71 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-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-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: python-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7366 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.20.0+dfsg-2~nd18.04+1+nd18.10+1_i386.deb Size: 1349508 SHA256: a6a8c2c03cf40aa4fa358dcfa53df24f843f08655ee51315af547feb5322bef7 SHA1: 815e674dd7d671c157f2b38e83c77e93a388a66e MD5sum: e8dff6086da403432004ae150c050a5f Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 123 Depends: neurodebian-popularity-contest, python-six, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python-wrapt_1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_i386.deb Size: 28544 SHA256: da5a67d307732d8a4d8f669b4147619768b3767477fa1398bc3f1426f773a037 SHA1: c386ad54951e87cec0c124d6f6cad8e010be22e3 MD5sum: b2c874e741d9e101eaa3750d7e743d74 Description: decorators, wrappers and monkey patching. - Python 2.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 2.x module. Package: python3-datalad Source: datalad Version: 0.11.2-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4355 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_0.11.2-1~nd18.04+1+nd18.10+1_all.deb Size: 906888 SHA256: 94a95e848f04c166546de18c1a79d89531c85487bc0f4e0f72b3a09bdf5f5945 SHA1: 00556fef494a863326d76abaa93877e525ad1d95 MD5sum: 2003ce3eb94e939d30de534a64834d3a 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-duecredit Source: duecredit Version: 0.6.5-1~nd18.04+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_0.6.5-1~nd18.04+1+nd18.10+1_all.deb Size: 53408 SHA256: 15e899353bdf38ba7a46c11b97d612b4c71bf98b438828efd0a7534819a79e54 SHA1: 2a6ee51f71d1f40965017ce7f61ad5325d08d345 MD5sum: 2df95b0a5b68562cdf7e30af347e3f48 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-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-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: 0.5.1-1~nd18.04+1+nd18.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py (>= 2.7.1), python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_0.5.1-1~nd18.04+1+nd18.10+1_all.deb Size: 98252 SHA256: 65c046621196e286010f818523768d5e85b66e07d717f0c0e56b0aaed33c6f28 SHA1: f544a7d26aef364e39ac71b69d30e70fb5f72217 MD5sum: c9b397d193b8265c20d378b45d33eb26 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-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: python3-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14129 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.6~) Provides: python3.6-sklearn-lib, python3.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.20.0+dfsg-2~nd18.04+1+nd18.10+1_i386.deb Size: 1785444 SHA256: 15d378c9e0d9ea1b3850de8d8a5aa6b36815a847fce1c080610e737556bd62ec SHA1: 0aa2ec9921f5571d30e7ee393fb4d2d732392e19 MD5sum: 464f683ff4a8a0edc44844011dc49484 Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. Package: python3-wrapt Source: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 163 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.8), python3 (>= 3.6~), python3:any, libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python3-wrapt_1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1_i386.deb Size: 28740 SHA256: d6671b6d8f18f766c34774a7ab8cba8bdab71b1719a9ae9ad31bbd1f2036a6d1 SHA1: dbbde3f05a03848e50de6b76e3a08c99e2384df6 MD5sum: 4edc9e69d16a42569acf8ca73eb3931f Description: decorators, wrappers and monkey patching. - Python 3.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 3.x module. Package: rclone Version: 1.41-1~ndall0 Architecture: i386 Maintainer: Debian Go Packaging Team Installed-Size: 16874 Depends: libc6 (>= 2.3.6-6~) 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_i386.deb Size: 4618876 SHA256: f3d9fca60ef0cfd3221be8ef088af8a9fc3a2a2c99955034fe6b29a9e18eb42e SHA1: 50b47feb7ce2f1441e1a5cef84f91ef20d1e104f MD5sum: 8c73c00b1e80467960cb535af6d6e58f 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.