Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: asciidoctor-doc Source: asciidoctor Version: 1.5.7.1-1~nd~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3301 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: asciidoctor Homepage: http://asciidoctor.org Priority: optional Section: doc Filename: pool/main/a/asciidoctor/asciidoctor-doc_1.5.7.1-1~nd~nd16.04+1_all.deb Size: 345742 SHA256: fc0abbeb77da7e2cb1057da8e819e3757b61d833e832786929bc271fefa5684b SHA1: 1eb4749d00c5e165ecd7bbe594d367fae55ef9f7 MD5sum: 565f487702afc0a9d00eecb1d1d202d9 Description: AsciiDoc to HTML rendering for Ruby (documentation) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the documentation for asciidoctor. Package: bats Version: 1.2.1-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: shells Filename: pool/main/b/bats/bats_1.2.1-3~nd16.04+1_all.deb Size: 27492 SHA256: 266d5c9faa37609687e382991ffb7941f1f0602de44ce034e61fd14d58ec109c SHA1: 9538e80fec0ed2aa24e4c87482361e20015a0e0b MD5sum: a41d6dcd1b33685c78bba01395a83f3c 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: 0.29.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 362 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 4.12) Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.29.1-1~nd16.04+1_all.deb Size: 97270 SHA256: 1a5b7d53022b5a3c017fc3c672d5184497a4ca4e10e0e61c59b19f37c352f559 SHA1: 0739e7f68b3184daac837edd5ed9caf324a8b0b4 MD5sum: 28e1656d0340392ba4b51c28cf3a8374 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: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1578 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Multi-Arch: foreign Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: doc Filename: pool/main/c/copyq/copyq-doc_3.6.1-1~nd1~nd16.04+1_all.deb Size: 898320 SHA256: eda74650b7f8f35f53e16c8d96690f972e8fc3e8ff51ca345bb0dcf845be8050 SHA1: 07df1ad4826ecfde2b4dca156f577e0a6409998c MD5sum: 1fa306fd2d9a2b155781c02ac9eaa9e6 Description: Documentation and examples for CopyQ - HTML format CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This contains the documentation in HTML format. Package: datalad Version: 0.11.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, python3-datalad (= 0.11.6-1~nd16.04+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_0.11.6-1~nd16.04+1_all.deb Size: 98336 SHA256: da1856f96f1a37aef9e9e7de5e3a25e213a653aabb90a93ac517c981152e03ed SHA1: 4667c29e263bd4b0afc3b1927213960dcd5a3919 MD5sum: dd0e0348328a51b8e3eec3778a5d2ccb 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~nd16.04+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 (>= 3.3.2-2~) 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~nd16.04+1_all.deb Size: 19404 SHA256: 41479443ea692a4d066cb30d2a5685b7d5bdd0fed5e0055336c122ceff10a6e3 SHA1: 1f7ecd36308a9bd320452bdd3e254e926499c6fc MD5sum: 830152500e5d36959490a4d30af5c56e Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: debhelper Version: 12.1.1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1614 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz, file (>= 3.23), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl Suggests: dh-make Breaks: cmake (<< 3.9~), dh-systemd (<< 1.38), meson (<< 0.40.0~) Replaces: dh-systemd (<< 1.38) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), dh-sequence-dwz, dh-sequence-installinitramfs, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_12.1.1~nd16.04+1_all.deb Size: 1020098 SHA256: ef667a9bdcbffdd27e2bcc0dc4b9896629707c476794c288684b6858bf612647 SHA1: fe29c2405da5caca3f0274d756b7438ced67caaf MD5sum: 52f60edb50efc0175bb39a018e902eb0 Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the Debian menu system, debconf, doc-base, etc. Most Debian packages use debhelper as part of their build process. Package: dh-systemd Source: debhelper Version: 12.1.1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, debhelper (>= 9.20160709) Multi-Arch: foreign Priority: optional Section: oldlibs Filename: pool/main/d/debhelper/dh-systemd_12.1.1~nd16.04+1_all.deb Size: 122592 SHA256: 29c01558b0691227b769511b1ae8bc6f73b663a9990c1704d0dbf277479265be SHA1: 26d563618c5fea3d55d8aebbac277e9e8548c3a7 MD5sum: 4a02757e1032aa2ae3a5b34bf781c109 Description: debhelper add-on to handle systemd unit files - transitional package This package is for transitional purposes and can be removed safely. Package: fail2ban Version: 0.9.7-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1274 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd16.04+1_all.deb Size: 263620 SHA256: b03d502cda5aa71922761c1df64c50cd71e07b59c6aca7556718d7ec6bc1cd80 SHA1: 8d69c55f37571cb94facc41de4d5d7385c5c6729 MD5sum: 8e61ce74c577ebf7d0af2a971ca61d7c Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: fsleyes Version: 0.15.1-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239480 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-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.1-2~nd16.04+1_all.deb Size: 33200182 SHA256: 4c3e8ca647dc8f0fc28b0e143861bccdef60709a3ecf0ce91c9582f5383d4c82 SHA1: 142d9154407af64cac2affddba814d89edda29af MD5sum: 5d1da84a2444088f1bca4ea784d9fc38 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: git-annex-metadata-gui Version: 0.0.0~pre1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 60 Depends: neurodebian-popularity-contest, python3-git-annex-adapter, python3-pyqt5, python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-metadata-gui Priority: optional Section: python Filename: pool/main/g/git-annex-metadata-gui/git-annex-metadata-gui_0.0.0~pre1-1~nd16.04+1_all.deb Size: 10326 SHA256: 84eae851a9a3219b0ed7e22c062b2c05f6fd614b11748324e085f8f96b0a76ef SHA1: 8aed7cf7c1092d4fe898927457e13bdc512a9176 MD5sum: 36389572dc0866a39d5897d8d1b275d3 Description: graphical interface to the metadata functionality of git-annex Flexible graphical user interface to view and manipulate metadata of git-annex repositories. Package: git-annex-remote-rclone Version: 0.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 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_0.6-1~nd16.04+1_all.deb Size: 8078 SHA256: 1f6e84b6e6f78f2b3c9c2be49bd2992c34ceda293d723ffe5cecf487b03f6ad1 SHA1: c9752fb83e1cc73356a8ecbf5732a4e7c746657a MD5sum: 93f77165a5c4f8ecba8789522e98f0f1 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: 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~nd16.04+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~nd16.04+1_all.deb Size: 252078 SHA256: 8052fe35572ab9025110f1929de04b09ee469e6d1ca830e747df76dfb6c18292 SHA1: 36f211dbef98926c0ac4d884864f142f00313a2d MD5sum: 5fd9231ddbbe7136957994154974456e 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: impressive Version: 0.12.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 468 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil, mupdf-tools (>= 1.5) | xpoppler-utils Recommends: mplayer, ffmpeg, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.12.0-1~nd16.04+1_all.deb Size: 184484 SHA256: a361ba7f168ba3950af9201f894ff8fc21d251adb7aa661ea96b6474ee66f53a SHA1: b35ed36286e28a70d95e9fc3ebcc63b864c3aef7 MD5sum: 66a33c4406dc411682ae4962455c177c Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: libfreenect-doc Source: libfreenect Version: 1:0.5.3-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 830 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.3-3~nd16.04+1_all.deb Size: 134268 SHA256: a2d2ff33137629dc23b2c4dab2605291049f6767ce560221b084b4c1e663a7f6 SHA1: 377d10839c3437e3ec8700c73c09e291a2ff8635 MD5sum: 4ee554a1228e0dde148f2411ff72aea5 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd16.04+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~nd16.04+1_all.deb Size: 3181558 SHA256: 1be3a5be2793848a4f3a336cdb7a8847045e9604ab520d461ecfe60587657f3b SHA1: 6031da72935482ec182eeacf33b693b43a960da2 MD5sum: 0e942db69eb04209766dbb432b0aac21 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: mrtrix3-doc Source: mrtrix3 Version: 3.0~rc3+git135-g2b8e7d0c2-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest Conflicts: mrtrix-doc Homepage: http://www.mrtrix.org Priority: optional Section: doc Filename: pool/main/m/mrtrix3/mrtrix3-doc_3.0~rc3+git135-g2b8e7d0c2-3~nd16.04+1_all.deb Size: 47816 SHA256: e7f82275611df0cdb7ab103e353187bbad929505cf8cade9d0b53483753a8af5 SHA1: eb2dba9f1bdda12a539a4f25be2b2779c5f5c3e5 MD5sum: 7b54118d2bec12c3eddf93481185f228 Description: documentation for mrtrix3 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: 0.42.0~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: python3, 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_0.42.0~nd16.04+1_all.deb Size: 36624 SHA256: 076facafea3e5c5398bde13439bb1f293b431c55e9f64be9e32efb4a46a74cb3 SHA1: c63ef15c11e712aba2e4f3a394cc51f543186a43 MD5sum: 8218e1ccb3153f96641c83f7b47472ae 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: 0.42.0~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 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_0.42.0~nd16.04+1_all.deb Size: 11922 SHA256: 83639dc8d19ecb733c7a44332702ec616131181e2b45970f0f197ad3fcdec630 SHA1: fd296059015e544ab48f7f39bfd3db44eb038f17 MD5sum: e4b1d5215d0355ea075c0fa1b87b8ec5 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: 0.42.0~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 199 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_0.42.0~nd16.04+1_all.deb Size: 122438 SHA256: 13d71683af7873e4b0cb261a94dc4f0556eef04e464038834c387e113dd51872 SHA1: 1d49149c5029a126b6b9b45c34124f2a1eacd2a7 MD5sum: be1255b99f8176dfd44571970e222757 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: 0.42.0~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 114 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, python3, 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_0.42.0~nd16.04+1_all.deb Size: 35682 SHA256: f41c1f8341d9e5cb930669033002bac59f487a28670d1b04c2371a71cbdfe392 SHA1: 4d26516f1791c44c83b75cb7dae9a9d7424c3d5f MD5sum: 8a1f702083a264c361b84d4462d0138b 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: 0.42.0~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.0~nd16.04+1_all.deb Size: 16220 SHA256: 3f97fe9a5e757161a162c78caf3407dde4aa119255b148c2e3de47a1fda69f75 SHA1: c88df0f96c6662b40f51dab7d8040d7627cba9b4 MD5sum: 0d4082b9fc2b15fc10037f545e030670 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: 0.42.0~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.0~nd16.04+1_all.deb Size: 13966 SHA256: 117dc89c9f95c56eafbdaefbbc8ab70a5b6c871a70791149607d7ebf42997519 SHA1: 1c25a66f611b56068712a49eafebc1befb2392b2 MD5sum: f4e512b26b2db78ee7093dad96fb9961 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: 1.0.6+ds-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 22793 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-jinja2, python3-appdirs | base-files (<< 7.2), python3-dev, zlib1g-dev, libzstd-dev, ccache, patchelf, python3:any (>= 3.3.2-2~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python3-lxml, python3-tqdm, strace, libfuse2 Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_1.0.6+ds-1~nd16.04+1_all.deb Size: 2106838 SHA256: afc8b077df671f80d5e0284d8fa4d5cf3acbf2eba193710d24a79390744a24f9 SHA1: 97555d6c0441ddfdf9b910d8faf9957c87c8c735 MD5sum: 8cbd1fabb135b892018787f6a982445c 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: patool Version: 1.12-3+nd1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 410 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python3:any (>= 3.4~) Recommends: file Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete Homepage: http://wummel.github.io/patool/ Priority: optional Section: utils Filename: pool/main/p/patool/patool_1.12-3+nd1~nd16.04+1_all.deb Size: 37618 SHA256: 0185d18529fd526bf7e8865eca4f5b5414817046fb05bcc5305051b1d05a2287 SHA1: f28dbad483daffbf49ad9886f973e93bed945e6d MD5sum: 8dc28ec1f82fba6b44c1130832e66dbd Description: command line archive file manager Various archive formats can be created, extracted, tested, listed, compared, searched and repacked by patool. The archive format is determined with file and as a fallback by the archive file extension. . patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a), ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio), DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh), LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz), SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and ZOO (.zoo) formats. . It relies on helper applications to handle those archive formats (for example bzip2 for BZIP2 archives). . The archive formats TAR, ZIP, BZIP2 and GZIP are supported natively and do not require helper applications to be installed. Package: psychopy Version: 1.85.3.dfsg-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd16.04+1_all.deb Size: 6618940 SHA256: 27c6237091516aa46f7ff786230efdd638bcdb0007a16e4139bfbb69ce7b1b7e SHA1: bb3a846e10fafc823913898101b51e7badcbff64 MD5sum: f88081f84ee6557285239f39cfd17883 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 669447 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.16.20200326.dfsg1-1~nd16.04+1_all.deb Size: 24062910 SHA256: 558d541783357f71e199e777c1e7bc4f9bf45cdad4a1afc41094e8c21a6bb0fe SHA1: 15e331ce31dc28939ebe71f896abe3538fb0bc5a MD5sum: e91f3640730f15bbd3ca415db3e576c6 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: pypy-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, pypy-enum34, pypy Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.44.1-1~bpo9+1~nd16.04+1_all.deb Size: 120258 SHA256: 4b9e06f312bd4116b1e0f99251f67285875e06dfbcdb1bb8e5d334514bff6e43 SHA1: 0b0e9d139cb2f9b8813bc7f8a71973223b6c0b24 MD5sum: a5f258e84ae04edca6ed8c4210ba79e6 Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd16.04+1_all.deb Size: 18858 SHA256: 680fddf2f25611f156874ec5faa6b7b595291c3104fb49db8ac45d3598d0c6f4 SHA1: 097d9090a239d4288420b08a270a4694e0be60f5 MD5sum: dcfbbbd8982bd499d79045ddc6202632 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd16.04+1_all.deb Size: 11734 SHA256: c6109c0e56ee0185b0c2b2048d80d4dfca1e54794fed44cdea78cdbe50421e43 SHA1: 8474dde97e39637f12c220ea65ebe06ea9b2cdc3 MD5sum: 374add4c5e6975ab260bb266f76abaaf Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-babel Version: 2.6.0+dfsg.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd16.04+1), python-pkg-resources, python-tz, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel_2.6.0+dfsg.1-1~nd16.04+1_all.deb Size: 88082 SHA256: 383ad4948ba22d156e8f0c5b4a1e175ab27d1db0c2b4db3f7604892e8f871685 SHA1: a7b9443cf9200d7cc4c6a4b7bad6688429a6046b MD5sum: 93890fd2cba77a9045f6c052790c4fc5 Description: tools for internationalizing Python applications - Python 2.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 2.x module. Package: python-babel-doc Source: python-babel Version: 2.6.0+dfsg.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 919 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://babel.pocoo.org/ Priority: optional Section: doc Filename: pool/main/p/python-babel/python-babel-doc_2.6.0+dfsg.1-1~nd16.04+1_all.deb Size: 178296 SHA256: e67900ddf202cdf0ba06fd245c214e141ed1fb0353b4819b665134021b0ec89b SHA1: dbdb52925d825853b3b65dc2e4fb3ab88a48990f MD5sum: d65c2e6a61b411b4f86a9c2ec83de33c Description: tools for internationalizing Python applications - documentation Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the Babel documentation. Package: python-babel-localedata Source: python-babel Version: 2.6.0+dfsg.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20956 Depends: neurodebian-popularity-contest Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel-localedata_2.6.0+dfsg.1-1~nd16.04+1_all.deb Size: 4104508 SHA256: a2cd744ed9e3b5ba0d187c4cee7f76a84103b7053e65b634cd62d06cdcfeb5a2 SHA1: a4135f220327fbc3813f7f3925f8cba03900b688 MD5sum: adaa46d0316e462faf1e667c90231b47 Description: tools for internationalizing Python applications - locale data files Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the locale data files used by both python-babel and python3-babel. Package: python-boto Version: 2.44.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Provides: python2.7-boto Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd16.04+1_all.deb Size: 741840 SHA256: 843bef9704cfe6735a962ea2335da8cc9f53aa5d9655f6275b4ccc5d7ad2617b SHA1: e77a184c34c4f77730c4affca3692157df265a32 MD5sum: c29670c509c00b01a5eec8e607b86efa Description: Python interface to Amazon's Web Services - Python 2.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 2.x module. Package: python-bz2file Version: 0.98-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-bz2file Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd16.04+1_all.deb Size: 7824 SHA256: 5a52623f939361c89a55928d10e594e437cfcb1195a0a53cd96a79a7e7840ef5 SHA1: d5969f47b4861c0c3d543cab605fd233d7d39cda MD5sum: 539d14ed3e82ec29d5287597d5e79bf4 Description: Python library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python2. Package: python-chardet Source: chardet Version: 3.0.4-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd16.04+1_all.deb Size: 80994 SHA256: 78ba0e0c7f95ccdd8307eed219451ae14f93cda37c266f3444c6086e4f07f3bf SHA1: b93381386404d27619816e0b47f8a31ee3b26ab2 MD5sum: 55c5e2f95c768b125e9a2930885effd9 Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-click Version: 6.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd16.04+1_all.deb Size: 56088 SHA256: 8dbc2f7d83fba1a437e4994369a3cdec2731e30b4de83b946abb57a5919aa8fe SHA1: f57be90c0bd4e0725b96ad25cb2c86e437b2b156 MD5sum: 9d9ea017b2cf4674ee2df5dfe4617743 Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7 Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 2 compatible package. Package: python-datalad Source: datalad Version: 0.11.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4543 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 (>= 2.7.5-5~) 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_0.11.6-1~nd16.04+1_all.deb Size: 945714 SHA256: 2cf0b8550369eff46fcadf9dbb842a00dbe4e4cf5b4a4dffd8c125baa921588d SHA1: 226775c74c780f69bc95f0f0ee0865dd7eb602fe MD5sum: 01bd381de4e8ddb5a3489da967cf6924 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~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 510 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd16.04+1_all.deb Size: 78690 SHA256: fe0689a8c8df6bb9f2b38e589432200d801d5a62e1718117b2f37f644a1e8437 SHA1: 797170d544dc817438694f4dde944af28d27f31b MD5sum: 748fb17d43526c8d7c968593e1e25881 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-deprecation Version: 1.0.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd16.04+1_all.deb Size: 8514 SHA256: 533809c12c01b5986512d84309b9dcfeec32aab1050c6881b7d1ee5c7c42b390 SHA1: eb558ba35152aae8a02d39eab361a38921fa1bf4 MD5sum: 9f0a1abc412cc817bfc33cfabf8b644b Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dipy Source: dipy Version: 0.14.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8631 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd16.04+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~nd16.04+1_all.deb Size: 3055250 SHA256: a3a6323aabdf760cecb5f8f7e707bde720ea05659d0a414098b83c3ac7f5f8e1 SHA1: 37dd9dc0f6d72df09d4d083447c9077e5226feee MD5sum: 9c0719dcf13db9c523def3b071a79c4b 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~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16437 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~nd16.04+1_all.deb Size: 12497866 SHA256: 8973dc2bce0f0439699f5ba84f1ca15e6e4b996b60b2bf9eca592c14e7249a36 SHA1: dee7054c722af142e512042c49dcd84db9e915d9 MD5sum: eed63720fcdf573252531308882b2eb7 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-duecredit Source: duecredit Version: 0.7.0-1~nd16.04+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 (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd16.04+1_all.deb Size: 53464 SHA256: e28aed35fec3a39c9c1df6f367d062a7a32b88cf2a8263324699b98c07b9ed80 SHA1: 5cb1e76c25bd88ef5003b0897d4f3b000a0aa974 MD5sum: ede4777e886b6eeb7efbab15e604d7de 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-exif Version: 2.1.2-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd16.04+1_all.deb Size: 27666 SHA256: ed6288e21cc8fb69de94b68213830bae7f4a24383439a3abd059e9a55aeebd27 SHA1: f828ca0187182ad4094f88baca111138dd76dc70 MD5sum: d43bbfb781f83470f8b9beabe3afadcc Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 2.x module. Package: python-fasteners Version: 0.12.0-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd16.04+1_all.deb Size: 13584 SHA256: 3c442f400f65e3c3a4f72f2f74a64c00c133dfcaf1fbc00f5f6ad33f73ccc022 SHA1: 3fcc4f4b994134181edbe2c47efa68d560515b23 MD5sum: 192247c42d4a250f2b9a982ebb3456a1 Description: provides useful locks - Python 2.7 Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 2.7 module. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-2~nd16.04+1_all.deb Size: 84186 SHA256: 497b5722b87c224226515bc1bc610b814bea316c6c23b0a368e47cacd214995b SHA1: 640400431b06914255c12755b58d06711c493634 MD5sum: fc40ce6fac6b5b623f14c73723881b5c 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~nd16.04+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 (>= 2.7.5-5~) 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~nd16.04+1_all.deb Size: 75646 SHA256: 96a0e59342383de0460800da1a7aaf09867aee9d20fa28ab81fa0f592b807a1e SHA1: dd4294e0fdec5ca857ee08db664cbf2c0fac7d68 MD5sum: f6c45b02a4c84bcf44513ca559f82778 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~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 374 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd16.04+1_all.deb Size: 68944 SHA256: 445df268d295023a3407427edb00c2d9869f11076cf157407e2382bcc16fe9d1 SHA1: b1e5f6160562be24a59ac073919aee86f1504f2b MD5sum: ddd29c0367daccaf7f40d78609972b44 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-git Version: 2.1.8-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1653 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd16.04+1_all.deb Size: 304806 SHA256: 49778dfea42a6f510079e15fecc46334b17cf8f9175f73ef74e16c2c470d8c59 SHA1: d4224f7cd68eb0464b9e2a091ea2232bfb411efc MD5sum: c1415028064d804681aed1b0e678e97b Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.1.8-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 982 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.1.8-1~nd16.04+1_all.deb Size: 126804 SHA256: 697224b99cdf54cce984a851fa5e220f035f34a550e7c38657268ca904f26cad SHA1: 96e36a453f9bfa9a7961ef84bf43ca9947da0bc1 MD5sum: d52272b4d41c815ec690b645205eec0e Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-urllib3, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python-httpretty_0.8.14-1~nd16.04+1_all.deb Size: 20942 SHA256: deb9a88fe292bc82537b87f5a3ddcd6d395ca16a893dea8a9f3a117a2942b088 SHA1: 19f728590f85d682e9a84715ffef3cd7d85f9c39 MD5sum: bc1ea0d72b0c1d24d1a9851b0031cec1 Description: HTTP client mock - Python 2.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 2.x module. Package: python-hypothesis Version: 3.44.1-1~bpo9+1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, python-enum34, python-coverage, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.44.1-1~bpo9+1~nd16.04+1_all.deb Size: 120128 SHA256: 5a313d5ebd49f96477b972855a7e6006d974d6b7db8fa0d42bc25610bba615f7 SHA1: 6823ff484940cae0efb51331b52a130b60641c8e MD5sum: 767ff18b87ded8b860339d751ffad78a Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1065 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.44.1-1~bpo9+1~nd16.04+1_all.deb Size: 145494 SHA256: cbaf1e9f581f1a6a28efb8cb0af005fb0901b5403d667e5e1afa0e940082d827 SHA1: 0803c989422f25a6922aa149aa50cdd0e6b41e69 MD5sum: 4ed59ea674685ed470011d7f9bb1254a Description: advanced Quickcheck style testing library (documentation) Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the documentation for Hypothesis. Package: python-joblib Source: joblib Version: 0.13.2-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), 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~nd16.04+1_all.deb Size: 193212 SHA256: 1bc4f37909610cca3266432bfce36bb0657a383df15740c0c8f69d0f08c89962 SHA1: c13dd6d718b86614d5be37ad3443794bc9a506e3 MD5sum: f9e10e5ea03375eda5b6e55678d207ea 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-json-tricks Source: json-tricks Version: 3.11.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd16.04+1_all.deb Size: 24468 SHA256: c61fb48ab0b7ad722259f51149e83ff9387595d4b3da68642506bc18b1b14ed4 SHA1: 2b6e79b1362c1de54538d2a10441b4bcbcd95ca8 MD5sum: bb229ca6633199613f3a7add8cf35bb5 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) 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~nd16.04+1_all.deb Size: 23384 SHA256: a7763142f4f7cb9183c2407e0e79b91d54a0b3e2066ba35d86a5ed73f7de6f25 SHA1: 8515a270da390b9dd8d2368d4331dbdb22713f9e MD5sum: d70fdb4d1e23284f50de7858c5db9b8f 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~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 242 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~nd16.04+1_all.deb Size: 38754 SHA256: 3e61c0748d6b2922a8af1f4e7d835f41220e87ed0466095a219ee235b7777cd5 SHA1: 83b0a7b5026ab8bf0d7ccda75d32cb330c88dd07 MD5sum: 725e1ad0436d3d4a563c0555b51ea5ad 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-monotonic Version: 1.1-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python-monotonic_1.1-2~nd16.04+1_all.deb Size: 5440 SHA256: b6908a8b415774995c5414f3b5d42894254e9bad81e04be3a9f818acc982b54e SHA1: 017126b515c181df12f569e9367ec97ec32cc8b4 MD5sum: 6b097378e1043c8c89cc064f3f37b9f2 Description: implementation of time.monotonic() - Python 2.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 2.x module. Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd16.04+1_all.deb Size: 138450 SHA256: 1ef6bf2d5307a02b24410f8c35d279398574c2b60034d5f38a7d56ee6901e191 SHA1: 8dc8d4a9ddc269af01da69fbe27906be5e0ed692 MD5sum: 9785761ada5d1f5c32dbc39fb245aa51 Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 966 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd16.04+1_all.deb Size: 124430 SHA256: 0aeecb4ff35ede1d4b0fbbf418f5de61240171c577c2c47e2beeda19c5973241 SHA1: aa74553be5bf71a2a32290a60342513221876d0a MD5sum: d496229c869f94406b8d768b64a09ab1 Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8602 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd16.04+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.5-1~nd16.04+1_all.deb Size: 5109548 SHA256: f2e165df89a3455ce11ded0968a2643dc82c279b30a913b29d8a180bd69ad4c5 SHA1: 328a71cf4a2ccaf6edd7af486a0e68ae88480bf2 MD5sum: 4ceaefebac82d95d4fc4dd6962dea34f Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.5-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36418 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.5-1~nd16.04+1_all.deb Size: 4653768 SHA256: be9e5e86c3b292296c986e49aea452d45d02b744067affdc84343774702964c5 SHA1: c013f672205f9c12401538fc11479a6bbf3ab695 MD5sum: b738e7ca5357ef221b309d33ce9d49fb Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-nibabel Source: nibabel Version: 2.4.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65818 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python:any (<< 2.8), python:any (>= 2.7.5-5~), 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_2.4.1-1~nd16.04+1_all.deb Size: 2647684 SHA256: 3a3fc99512c356759ce3defed73e0fc0111a44596a972e16e0bcccad69b1937d SHA1: 3d3819e24dfc5adab8e707488ae134b83db7b0a0 MD5sum: e1dd46e28b82620242cf06a93dc9578c 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: 2.4.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20908 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_2.4.1-1~nd16.04+1_all.deb Size: 3521144 SHA256: af7d9ebf791da62da72285e42c4fdadf205a6569a47d5d7b17467781ca63a091 SHA1: 1d5d9189b9a58f03fd68a6c12684d618519d3bd2 MD5sum: cf34807d217588f094904d96a5e46573 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-nipy Source: nipy Version: 0.4.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3547 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.2-2~nd16.04+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.2-2~nd16.04+1_all.deb Size: 782596 SHA256: f2e5008393d5f703b860d25ebb683c940ee08e2b801eb5b6f368558cfca2f32a SHA1: 251b0f0e0fd15932e5a998cab884fe7e86d3a79b MD5sum: c9872b88c0f12929adfc84b50a64374b Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10326 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-2~nd16.04+1_all.deb Size: 2663050 SHA256: 656a09f5ec81f6f85dde427c2c0795382a91b2e5dd17ecd008454cf8aee714ac SHA1: 86a4da58d8e3e7c417361ff9eb8ecd61d3b73657 MD5sum: 3a0c093eb3790fc02b40a4cefd5d1ca1 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipype Source: nipype Version: 1.1.9-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11177 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-numpy, python-dateutil (>= 2.2), python-scipy, python-traits, python-future, python-simplejson, python-prov, python-click, python-funcsigs, python-packaging, python-concurrent.futures, python-configparser, 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~nd16.04+1_all.deb Size: 1911852 SHA256: 6a037ae4e150f6eb68001b7e90f2db3bb96729c291e1fa5ea9aeaf6fdd960507 SHA1: 7a61e48292f5d0e2da3e346aa3a07ee8198c2562 MD5sum: 8d05f8179bf776a270489e9a4319f6ab 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~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36226 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~nd16.04+1_all.deb Size: 16761472 SHA256: 189689d7935ac61ce3fbd1719c493b01a552bb6c47e31da6da9c4d1480d0d20f SHA1: aa310e2aca8b3f9277db79b398af61eb20e805b3 MD5sum: ee568c1dc0a4d46d8bf1e936318250e3 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-opengl Source: pyopengl Version: 3.1.0+dfsg-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 5289 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-ctypes, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, freeglut3 Suggests: python-tk, python-numpy, libgle3 Homepage: http://pyopengl.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pyopengl/python-opengl_3.1.0+dfsg-1~nd16.04+1_all.deb Size: 502206 SHA256: c6f1c589672c7853ad0315795a69f847ff136d7f62bf0d193fd5a15700fa613c SHA1: fdb313a3f7f8856deb626df2e2a8138a19616ca2 MD5sum: 6d3d2268519ba7f557ba1fa1584dd9a0 Description: Python bindings to OpenGL (Python 2) PyOpenGL is a cross-platform open source Python binding to the standard OpenGL API providing 2D and 3D graphic drawing. PyOpenGL supports the GL, GLU, GLE, and GLUT libraries. The library can be used with the Tkinter, wxPython, FxPy, and Win32GUI windowing libraries (or almost any Python windowing library which can provide an OpenGL context). . This is the Python 2 version of the package. Package: python-pprocess Source: pprocess Version: 0.5-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) 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~nd16.04+1_all.deb Size: 83788 SHA256: 259c9557b6779afe5e30bf55c78aec59c98f3ef76f69ddede48dc801ac23fb43 SHA1: 472a65ca2314d807efdb93a31efba53b32e1d01b MD5sum: 70a87e18f8de21a567685badd18d2b2d 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~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd16.04+1_all.deb Size: 117640 SHA256: cb58c06763b1e763bfbdd1b04229f28b1e95757eb762ba26fd58c5b32805592e SHA1: 635cd8386e5cc0ab283ae447bedfe816ee30e0ad MD5sum: 0496927a902b3f920142edcd38033201 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-pydot Source: pydot Version: 1.2.3-1.1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd16.04+1_all.deb Size: 20410 SHA256: 63bd00cc9701b5da3a888ebd99c96bab95f62b557b256ceddb93f34fce6a8f59 SHA1: 83f97a58d8e73bc0df74b35b93df8d71f68ea313 MD5sum: 785c376c3684712903fd238ba6ec6ad8 Description: Python interface to Graphviz's dot pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. Package: python-pydotplus Version: 2.0.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd16.04+1_all.deb Size: 20380 SHA256: 39b27d471418f9c81855a45f723d39844052c83c40a1ff1806f2f54989a74216 SHA1: 6067dfa2d60382ae0aeeb5f41423cef6de4b4e18 MD5sum: e1ff9119f7ae7fba92f3bea83f89dca1 Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 525 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd16.04+1_all.deb Size: 46822 SHA256: 80ee04b3206e1e638271ad5b870381128b38b12aa995c7d9237e4b38f672877b SHA1: 1680d00bc567d8e115bb693994cbad1f516aa426 MD5sum: 31848087f24154136a4c430e3106e491 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd16.04+1_all.deb Size: 1427658 SHA256: 3b99545a42bd5348136d2df2625de91a91b9d18d0f0c5785bee50eea1441606a SHA1: aeb386b87a6729dac196db991beaf4c2a71718e6 MD5sum: f58639e8f18f7393a5d0701883d2811b Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pyperclip Version: 1.6.0-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), xclip | xsel | python-gi | python-qt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python-pyperclip_1.6.0-2~nd16.04+1_all.deb Size: 9412 SHA256: 26e35e19d35c368d9b60d8ed168f65614e6b6bbc62172d6d183dc5f54280fa1e SHA1: f391b5db303066dbad91bafcfdf4a89705de1ee2 MD5sum: f09cfac57ce7c80561cea151aac1d727 Description: Cross-platform clipboard module for Python This module is a cross-platform Python module for copy and paste clipboard functions. . It currently only handles plaintext. Package: python-pytest-runner Source: pytest-runner Version: 2.7.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 31 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pytest-dev/pytest-runner Priority: optional Section: python Filename: pool/main/p/pytest-runner/python-pytest-runner_2.7.1-1~nd16.04+1_all.deb Size: 6122 SHA256: e32cbbf3bfb304bbc9c6a901571198457ff968fe74650c9d97a25b9b969dc6a7 SHA1: 60c152dafcd3f7e359e2e038625702c9a6d370c4 MD5sum: 1e5ed45580cfbf12d31130fb71e84b67 Description: Invoke py.test as distutils command with dependency resolution Setup scripts can use pytest-runner to add setup.py test support for pytest runner. . This package contains the Python 2 module. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd16.04+1_all.deb Size: 85568 SHA256: dfd00141e1729ed61b72ddf9a040a9199eb58d88567f2396f8d3496f312d1d4f SHA1: 0a0d04f94580274c01fe651776484340ff40aa99 MD5sum: 74598c38433d4097d3c26d369176f1a4 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd16.04+1_all.deb Size: 11738 SHA256: a16ef0744fa9490e2476f1744dcf0cba5a143f14f68cb4cdb64e7749bb0bb2aa SHA1: bfe91fb94d1d1bf0e3375ec11613cac158c49b13 MD5sum: 468a2063df5cea55065b488ba520cbca Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-sklearn Source: scikit-learn Version: 0.19.2-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7024 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.2-1~nd16.04+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.19.2-1~nd16.04+1_all.deb Size: 1457082 SHA256: 691a0294f6de9c99502b7ca47cd0e635ee582d7810d1170396d47fedc1916834 SHA1: 2212441aadf84ca05c39734452ac47f1ea0ceeda MD5sum: 8f783cb9562fe1659bf6316a31fb9c2e Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.19.2-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33222 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.2-1~nd16.04+1_all.deb Size: 5273448 SHA256: 58628c10fab85265a6a9b43daad0a1b0aa63c2d0976ff64204f15871466bd463 SHA1: 525196037b7be19234ef4e67a72843b32a50aefd MD5sum: 148a2eb0578c4755c3e0eadded29e8ed Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-rdflib, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd16.04+1_all.deb Size: 22216 SHA256: ad338cb0ae4f323328124cc0ca75e8822622784570375fe07a2fa7686a26b2b6 SHA1: ca5fdf127bd16ad4a221f1e1bcdd9b772900d65b MD5sum: d074d7f980f64501cf433356823d0482 Description: SPARQL endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 2 version of the package. Package: python-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-matplotlib, python-pil, python-sphinx Suggests: python-sphinx-gallery-doc, mayavi2, python-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery_0.2.0-1~nd16.04+1_all.deb Size: 72030 SHA256: fa7bb73b3c49b9b4f45b45a4ec74668bab71f9030c7f50b49ea838362aee3058 SHA1: b1f3358822b80d9f4e5b5fbcf6ef7b64a88cc291 MD5sum: f927ac58f21deb1a3866eb871d2d908a Description: extension that builds an HTML gallery of examples from Python scripts * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 2 version of sphinx-gallery. Package: python-sphinx-gallery-doc Source: sphinx-gallery Version: 0.2.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3067 Depends: neurodebian-popularity-contest Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: doc Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery-doc_0.2.0-1~nd16.04+1_all.deb Size: 1685634 SHA256: 36d76d7c48b32523d0ca91edb908acc16e64531186cff3e09fd5c631a8fce0ad SHA1: bfe408b2dec37df7cc0132103f27af9c3527762b MD5sum: 749de86dcb887df0b2601b866f55996f Description: extension that builds an HTML gallery of examples from Python scripts (Doc) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains documentation for sphinx-gallery. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd16.04+1_all.deb Size: 290732 SHA256: 92a0eff9fdbfe4291844dee3e6df991f8cadf8d7f68390e6a786313f5a3c8989 SHA1: 88ad692740ab3d4e9b9aad304fb0cd2f88e11535 MD5sum: 170a5563e901639348a65d7259b85b66 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2191 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd16.04+1_all.deb Size: 241712 SHA256: 12cb58145bf1ba52365ea308a7b0bb46a8af3daec44854cd63d9b711a33fbe7b SHA1: 59ddf9d1da701463188f7758ae1fd38ffcad4181 MD5sum: 885d8520f29c0118144c74e090dfd792 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 439 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd16.04+1_all.deb Size: 51402 SHA256: e707a7be420ef988e9faecf26c18534cf3d9e7a38ac0aea5a4553e47868045aa SHA1: ff328304d41bd1a2e74ca45a5ff9ff8c0f5a3d20 MD5sum: 6db6b288710374dc0d4ed655d4d3ff11 Description: decorators, wrappers and monkey patching. - doc 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 documentation. Package: python3-babel Source: python-babel Version: 2.6.0+dfsg.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 409 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd16.04+1), python3-pkg-resources, python3-tz, python3:any (>= 3.3.2-2~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python3-babel_2.6.0+dfsg.1-1~nd16.04+1_all.deb Size: 87466 SHA256: 73dbe05a077439011c416d0fb706ba139f4b99f9967f903bfc4c6b227cabb6c4 SHA1: 802af4e2cc0f62336c31073750312b012dd4aa00 MD5sum: 4821109b68b76aa0e798103b49c54c9d Description: tools for internationalizing Python applications - Python 3.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 3.x module. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd16.04+1_all.deb Size: 741912 SHA256: 0171ac93c69bb4cd9bfeb65ba77dceb8eb52b6bf6a8da6049e26e8af0f3e78bd SHA1: 7ecdd63cf5a5e46600bd7dda14d1198b6db0856e MD5sum: e846f612f70e62f6ffa0367c2b73a12b Description: Python interface to Amazon's Web Services - Python 3.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 3.x module. Package: python3-bz2file Source: python-bz2file Version: 0.98-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd16.04+1_all.deb Size: 7904 SHA256: 21990818d3978bbe712262d4f9920e15071e929cd10d95453dfd55bd8ed49157 SHA1: 8db7c0fd40e77d45f56210192dc65138ef623109 MD5sum: ede823152a3fb3070493149ef0116454 Description: Python3 library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python3. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd16.04+1_all.deb Size: 80928 SHA256: ce06b0fb039b2c9b8e054ea352ea4f8f81d62692a4ca8c642f8904606f455997 SHA1: efb77eeccf18cee355a9471541460ba3551ce2c7 MD5sum: 7d125fcebd23f2fbe5e47e0f000fe77b Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-click Source: python-click Version: 6.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python3-click_6.6-1~nd16.04+1_all.deb Size: 56188 SHA256: cab0774b5e1413895b98a43ddb9aae5501b7d16cdbd4920e32364e920e6ce317 SHA1: 6ce3f2b88b4cdaeb7215da4bc6bdf6a6c44310c4 MD5sum: b10ccf20cad45fd576a95f98d438079f Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 3 compatible package. Package: python3-datalad Source: datalad Version: 0.11.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4543 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 (>= 3.3.2-2~) 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_0.11.6-1~nd16.04+1_all.deb Size: 945756 SHA256: 1183640059fa5bb2d8d6ba519273e67d12d9b3d9a0fefbce528cc9dab8d349a2 SHA1: 5df0ca1e9cc078508ba133718f93287678985b9c MD5sum: f0223717edecbb5ebc355ac427d9800a 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: 0.8-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 514 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3:any (>= 3.3.2-2~), libjs-sphinxdoc (>= 1.0) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd16.04+1_all.deb Size: 78350 SHA256: 015b018e8d0060260bb6bec8697f76de7e2cb002ce262ba66d827c593ee7a35c SHA1: 393659ecd5e7f6c1aedd376d35dbf126bcd02d50 MD5sum: bab39101497044c04a312251ce34f6bf 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-deprecation Source: python-deprecation Version: 1.0.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd16.04+1_all.deb Size: 8596 SHA256: 7c4ce0e2a898f02430b72da190b1a1f2e974ee85d02e47e0d623dffb2c4a957e SHA1: aac1d0abc0b0d6efec934783cf40a591ab5a3678 MD5sum: 9ce1d906c604b7f6969d2faa5f47f07e Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd16.04+1_all.deb Size: 33450 SHA256: 95cff3e2d9e45041ecb27500bf00c96989261b31801382b6a5124f5ba9cffab2 SHA1: 181173ebad69a03a20c9c87fb9136bbe1e5ac590 MD5sum: 856ba8152786c49e1fecbc8f83151650 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: 0.8.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.8.0-1~nd16.04+1_all.deb Size: 54712 SHA256: b2d9ad37790151ec3d4a9b82d72d5f48acbdf14b26954306a589d95689d720c0 SHA1: cf96617ef4fb84c56c49aba1867ed996205a7343 MD5sum: 14ce4898102a255f18f61fede55d2114 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-exif Source: python-exif Version: 2.1.2-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd16.04+1_all.deb Size: 27746 SHA256: 8c50697d054f1b72a54acad605bde4404da7a554fcbe0fa8b3d0fad85ef1326d SHA1: cbe8d619d92b99d2b97fb8c4880d884ab6f2461e MD5sum: 2f26a7307dc23c5078e0050e603d7071 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.12.0-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.12.0-3~nd16.04+1_all.deb Size: 13662 SHA256: 5a1d1aaeb5c0444a164986a3519d66deb69ce536d1a243abbb85ea107de625b0 SHA1: c177b81b7b1f9f8c114f96b10a57dc5d1dfa8adb MD5sum: 503cd3ec14f470d691426e09a0afdeb1 Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-fsl Source: fslpy Version: 1.2.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-indexed-gzip, python3-numpy, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd16.04+1_all.deb Size: 84168 SHA256: 6e0994c55d683957f1fcc9740dec8a2408b253bc1709877f1b2e0d12cb1e3d98 SHA1: 40ccdf3c71401626bb658c8e76f96c7bd1f087d7 MD5sum: d834ac43034a2cd9e09e3d2ebaea9020 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 2.1.8-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1650 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.1.8-1~nd16.04+1_all.deb Size: 304560 SHA256: 1be914bffd2206f8b7b706f4715bf829320d4b0ab3713f03d6023c56f6585989 SHA1: b8a935248419cdb5a516e501f6bed2f7118cca94 MD5sum: 7dc1e690c9a83fc6e25cca98f49512ed Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-git-annex-adapter Source: git-annex-adapter Version: 0.0.0~pre1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 33 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160726~) | git-annex-standalone (>= 6.20160726~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-adapter Priority: optional Section: python Filename: pool/main/g/git-annex-adapter/python3-git-annex-adapter_0.0.0~pre1-1~nd16.04+1_all.deb Size: 6812 SHA256: 1e263dca528e4bc3acc21ff5dbc30e5a42e8dad2c24cd6367c6005a02ff2f51f SHA1: cdb7531fe99462f3ee622889e496f7ef3088f98f MD5sum: 00c952ca16a9f427762477c0fde1eab4 Description: call git-annex commands from within Python This is a minimalistic interface to git-annex. Commands are executed using subprocess and use their batch versions whenever possible. Package: python3-httpretty Source: python-httpretty Version: 0.8.14-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3-urllib3, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.8.14-1~nd16.04+1_all.deb Size: 21026 SHA256: cc5851b611a1d2f4290752e89734e89fb65e4891b5f87725344097736f390992 SHA1: a574a579b13c9d164461c73a20cc33544b3425a4 MD5sum: d78bc9189ce0609037ff939a0bc2e53a Description: HTTP client mock - Python 3.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 3.x module. Package: python3-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, python3-coverage, python3:any (>= 3.3.2-2~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd16.04+1_all.deb Size: 120266 SHA256: 61b096d19b5554ba4d9b797930cbfc2acd85a2ebd852c82e88fa36527cd7e093 SHA1: fe8bc060d3b41ec0e50f034a7b447d5e1278b6cc MD5sum: 3567b24592a2537f3228c9d3e29d520c Description: advanced Quickcheck style testing library for Python 3 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 3 module. Package: python3-joblib Source: joblib Version: 0.13.2-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), 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~nd16.04+1_all.deb Size: 190140 SHA256: d401b447715d4553f175fae89c104419a98caaedcabaf0fa7f6d64689aac34c8 SHA1: c80f9875f7efd2ad414e62ea1e5a3f0c1642a81e MD5sum: 39cc6c2861d1eb40838d8231e1e8ae23 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-json-tricks Source: json-tricks Version: 3.11.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd16.04+1_all.deb Size: 18856 SHA256: 20c5d2533cdff65d1f1a8c2b008d2e8ae7adaeec013ee6cc3c61b857f2ea9a8b SHA1: f90f2bddde5e42fce69877343d45d074843b1747 MD5sum: 8e4221a8bcc4308d2e8e59865064741e Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) 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~nd16.04+1_all.deb Size: 23472 SHA256: 0c31f01d1535d115c6c84b56e8376d67705105964ce1ac2be1f79836c73b6a10 SHA1: d915a49d351427a6895491901a0a17c220a0f285 MD5sum: dda43428ea3d0b2f694b994d377fb174 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-monotonic Source: python-monotonic Version: 1.1-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python3-monotonic_1.1-2~nd16.04+1_all.deb Size: 5496 SHA256: 8d2907a26b95b897f08003a9266d049a0384c42f4db44dd96df14462b34a866e SHA1: 6f77ee14d3af665867f0fd7d32fcaf333ef6479d MD5sum: 11e8aa7ee18e386213b2e51a9e4ae494 Description: implementation of time.monotonic() - Python 3.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 3.x module. Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd16.04+1_all.deb Size: 132318 SHA256: c298ce34020c4c2343d83dfce4ee787c5d23900539387a67d3dacf366a43ce76 SHA1: da183f7db41781e9130bb556f36198a8b3d2a2c6 MD5sum: 2127ba2e94205a7296d9d88a01f14ba9 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-nibabel Source: nibabel Version: 2.4.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65803 Depends: neurodebian-popularity-contest, python3-numpy, python3-six (>= 1.3), python3:any (>= 3.3.2-2~), 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_2.4.1-1~nd16.04+1_all.deb Size: 2643396 SHA256: 7a6db06142accb59ce648b60d65af8700f23510f3cb34d45ab346ac9d5138933 SHA1: b4a6ffa55a4155b7a4d15fca5964d68ee4a162ee MD5sum: c4681fccd258116558b55c593b5e7d02 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-opengl Source: pyopengl Version: 3.1.0+dfsg-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 5289 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, freeglut3 Suggests: python3-tk, python3-numpy, libgle3 Homepage: http://pyopengl.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pyopengl/python3-opengl_3.1.0+dfsg-1~nd16.04+1_all.deb Size: 502442 SHA256: 70d36f1d4930e6b529dc5e338a93b80c397b5c2e18702b7aaeb652473865c9c3 SHA1: 04fcb1dfc2af7e36e299d3367512cea231f9ab32 MD5sum: 152c0535f97dee9f6fac13ab6ff1487d Description: Python bindings to OpenGL (Python 3) PyOpenGL is a cross-platform open source Python binding to the standard OpenGL API providing 2D and 3D graphic drawing. PyOpenGL supports the GL, GLU, GLE, and GLUT libraries. The library can be used with the Tkinter, wxPython, FxPy, and Win32GUI windowing libraries (or almost any Python windowing library which can provide an OpenGL context). . This is the Python 3 version of the package. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd16.04+1_all.deb Size: 19824 SHA256: 829d4e5bf11173d39878c35698bcef6aa77f8164285a58720b606c147b194552 SHA1: fd63bda12d780d29ff2618957089c22f46dda800 MD5sum: 3fb90f2381d52beb708662da6c71195d Description: Python interface to Graphviz's dot (Python 3) pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. . This package contains pydot for Python 3. Package: python3-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd16.04+1_all.deb Size: 20456 SHA256: 42d5c7c970226e81b0f17ae4652ff648d7383cf9e8808de91edf38e7cf2757fb SHA1: ab2277f582dc53d8671d48f1a223e9c5b5e58912 MD5sum: 641530aaadacf9937216ef63e4f45625 Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-pyperclip Source: python-pyperclip Version: 1.6.0-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd16.04+1_all.deb Size: 9522 SHA256: 8dbaa68233c8c28cee899661c326dbe0e5ab902bac775fc0ca2122b03b3189ce SHA1: ff47289725f0bb6a2f96e43f71c76416600574ad MD5sum: e28924537b16308555d2062bf62c3626 Description: Cross-platform clipboard module for Python3 This module is a cross-platform Python3 module for copy and paste clipboard functions. . It currently only handles plaintext. . This is the Python 3 version of the package. Package: python3-pytest-runner Source: pytest-runner Version: 2.7.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/pytest-dev/pytest-runner Priority: optional Section: python Filename: pool/main/p/pytest-runner/python3-pytest-runner_2.7.1-1~nd16.04+1_all.deb Size: 6138 SHA256: c0d765fdbc263503b35ddaf7b5542aa5d96478d9454452d5562da8153342fc98 SHA1: f336e89023459de8693b4a12cfb7203559adc7c0 MD5sum: 761f7237281476ff3a8c53174cec36dd Description: Invoke py.test as distutils command with dependency resolution Setup scripts can use pytest-runner to add setup.py test support for pytest runner. . This package contains the Python 3 module. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd16.04+1_all.deb Size: 11806 SHA256: da2c97c0ec6c668ab58dca583dc734673a2080d8ab71f6332b39bb4158ea31bd SHA1: e37946ce2c3203629370872514a485b92009df80 MD5sum: 1eecca62d1b45557f19e4e7ca8ceb295 Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-sklearn Source: scikit-learn Version: 0.19.2-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7023 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.2-1~nd16.04+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.19.2-1~nd16.04+1_all.deb Size: 1456788 SHA256: 3a5ce4e3a4500bff47eee948a9e4dc68a7c07a10f77568b4b6933f48b9b7dc18 SHA1: 9fa7cc150d415208e0020131535a25b4419e5cb6 MD5sum: 5519ab2a2f8abd4fa38c77a08cc5792f Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest, python3-rdflib, python3:any (>= 3.3.2-2~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd16.04+1_all.deb Size: 20736 SHA256: 00f1f4dccddb10c7dc20864c2c1f3d1dd5d28e4f8a6688d64d0369c660546a81 SHA1: 7cee8efdc2c8913ab01e21b747340d64bc510998 MD5sum: 7fccb9cc5ce739fda709fe4a13a62dbb Description: SPARQL endpoint interface to Python3 This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 3 version of the package. Package: python3-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-matplotlib, python3-pil, python3-sphinx Suggests: python-sphinx-gallery-doc, python3-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd16.04+1_all.deb Size: 72126 SHA256: bf517076bda437ff3fd7e7c3634b483ce94e4ade628368cfa45b75a25e92b83b SHA1: 803f7e3f4ad079cbc4cf38ca6f57ff59e9e4412c MD5sum: 3381daf694ea09c70a0027331bf0e81a Description: extension that builds an HTML gallery of examples from Python scripts (Python 3) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 3 version of sphinx-gallery. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd16.04+1_all.deb Size: 290836 SHA256: cc05e669b1140db18ec728f1d3660733d90e5169fe036d0a383b7b2e9dfbb844 SHA1: 64faab26c358bac01ecf9851b4106ec0b8fbf220 MD5sum: 3656d0b3d443816dd647213af474dd04 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: ruby-asciidoctor Source: asciidoctor Version: 1.5.7.1-1~nd~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 815 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter Breaks: asciidoctor (<< 1.5.6.2-1) Replaces: asciidoctor (<< 1.5.6.2-1) Homepage: http://asciidoctor.org Priority: optional Section: ruby Filename: pool/main/a/asciidoctor/ruby-asciidoctor_1.5.7.1-1~nd~nd16.04+1_all.deb Size: 183272 SHA256: 06607afaf9819123758840ea4e3f0f90a3d482a5083c5d00a51152a8af1cdafd SHA1: ee4dd8a2b714611da505294ef803b7fa6d682b8b MD5sum: 204bf1d868a1cdf0210e1ee9e4869cd1 Description: AsciiDoc to HTML rendering for Ruby (core libraries) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the library files used by the asciidoctor package. Ruby-Versions: all Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26318 Depends: neurodebian-popularity-contest Recommends: vowpal-wabbit Homepage: http://hunch.net/~vw/ Priority: optional Section: doc Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_8.6.1.dfsg1-1~nd16.04+1_all.deb Size: 18281818 SHA256: 230e853a0b97a2c68711e080da0a0999b1c1483e3965ca53a8ebb68757daaf02 SHA1: c2e5db5d3740af0cec23b0e111c3475c546071cb MD5sum: 9f8c849b3f35d874992e158815e9bfc7 Description: fast and scalable online machine learning algorithm - documentation Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains examples (tests) for vowpal-wabbit. Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, GiantBomb, Giga, GlattvisionTV, Glide, Globo, GloboArticle, Go, GodTube, Golem, google:podcasts, google:podcasts:feed, GoogleDrive, Goshgay, GPUTechConf, Groupon, hbo, HearThisAt, Heise, HellPorno, Helsinki, HentaiStigma, hetklokhuis, hgtv.com:show, HiDive, HistoricFilms, history:player, history:topic, hitbox, hitbox:live, HitRecord, hketv, HornBunny, HotNewHipHop, hotstar, hotstar:playlist, Howcast, HowStuffWorks, HRTi, HRTiPlaylist, Huajiao, HuffPost, Hungama, HungamaSong, Hypem, ign.com, IGNArticle, IGNVideo, IHeartRadio, iheartradio:podcast, imdb, imdb:list, Imgur, imgur:album, imgur:gallery, Ina, Inc, IndavideoEmbed, InfoQ, Instagram, instagram:tag, instagram:user, Internazionale, InternetVideoArchive, IPrima, iqiyi, Ir90Tv, ITTF, ITV, ITVBTCC, ivi, ivi:compilation, ivideon, Iwara, Izlesene, Jamendo, JamendoAlbum, JeuxVideo, Joj, Jove, JWPlatform, Kakao, Kaltura, Kankan, Karaoketv, KarriereVideos, Katsomo, KeezMovies, Ketnet, khanacademy, khanacademy:unit, KickStarter, KinjaEmbed, KinoPoisk, KonserthusetPlay, KrasView, Ku6, KUSI, kuwo:album, kuwo:category, kuwo:chart, kuwo:mv, kuwo:singer, kuwo:song, la7.it, laola1tv, laola1tv:embed, lbry, lbry:channel, LCI, Lcp, LcpPlay, Le, Lecture2Go, Lecturio, LecturioCourse, LecturioDeCourse, LEGO, Lemonde, Lenta, LePlaylist, LetvCloud, Libsyn, life, life:embed, limelight, limelight:channel, limelight:channel_list, LineTV, linkedin:learning, linkedin:learning:course, LinuxAcademy, LiTV, LiveJournal, LiveLeak, LiveLeakEmbed, livestream, livestream:original, livestream:shortener, LnkGo, loc, LocalNews8, LoveHomePorn, lrt.lt, lynda, lynda:course, m6, mailru, mailru:music, mailru:music:search, MallTV, mangomolo:live, mangomolo:video, ManyVids, Markiza, MarkizaPage, massengeschmack.tv, MatchTV, MDR, MedalTV, media.ccc.de, media.ccc.de:lists, Medialaan, Mediaset, Mediasite, MediasiteCatalog, MediasiteNamedCatalog, Medici, megaphone.fm, Meipai, MelonVOD, META, metacafe, Metacritic, mewatch, Mgoon, MGTV, MiaoPai, minds, minds:channel, minds:group, MinistryGrid, Minoto, miomio.tv, MiTele, mixcloud, mixcloud:playlist, mixcloud:user, MLB, Mms, Mnet, MNetTV, MoeVideo, Mofosex, MofosexEmbed, Mojvideo, Morningstar, Motherless, MotherlessGroup, Motorsport, MovieClips, MovieFap, Moviezine, MovingImage, MSN, mtg, mtv, mtv.de, mtv:video, mtvjapan, mtvservices:embedded, MTVUutisetArticle, MuenchenTV, mva, mva:course, Mwave, MwaveMeetGreet, MyChannels, MySpace, MySpace:album, MySpass, Myvi, MyVidster, MyviEmbed, MyVisionTV, n-tv.de, natgeo:video, NationalGeographicTV, Naver, NBA, nba:watch, nba:watch:collection, NBAChannel, NBAEmbed, NBAWatchEmbed, NBC, NBCNews, nbcolympics, nbcolympics:stream, NBCSports, NBCSportsStream, NBCSportsVPlayer, ndr, ndr:embed, ndr:embed:base, NDTV, NerdCubedFeed, netease:album, netease:djradio, netease:mv, netease:playlist, netease:program, netease:singer, netease:song, NetPlus, Netzkino, Newgrounds, NewgroundsPlaylist, Newstube, NextMedia, NextMediaActionNews, NextTV, Nexx, NexxEmbed, nfl.com (CURRENTLY BROKEN), nfl.com:article (CURRENTLY BROKEN), NhkVod, NhkVodProgram, nhl.com, nick.com, nick.de, nickelodeon:br, nickelodeonru, nicknight, niconico, NiconicoPlaylist, Nintendo, njoy, njoy:embed, NJPWWorld, NobelPrize, NonkTube, Noovo, Normalboots, NosVideo, Nova, NovaEmbed, nowness, nowness:playlist, nowness:series, Noz, npo, npo.nl:live, npo.nl:radio, npo.nl:radio:fragment, Npr, NRK, NRKPlaylist, NRKRadioPodkast, NRKSkole, NRKTV, NRKTVDirekte, NRKTVEpisode, NRKTVEpisodes, NRKTVSeason, NRKTVSeries, NRLTV, ntv.ru, Nuvid, NYTimes, NYTimesArticle, NYTimesCooking, NZZ, ocw.mit.edu, OdaTV, Odnoklassniki, OktoberfestTV, OnDemandKorea, onet.pl, onet.tv, onet.tv:channel, OnetMVP, OnionStudios, Ooyala, OoyalaExternal, OraTV, orf:burgenland, orf:fm4, orf:fm4:story, orf:iptv, orf:kaernten, orf:noe, orf:oberoesterreich, orf:oe1, orf:oe3, orf:salzburg, orf:steiermark, orf:tirol, orf:tvthek, orf:vorarlberg, orf:wien, OsnatelTV, OutsideTV, PacktPub, PacktPubCourse, pandora.tv, ParamountNetwork, parliamentlive.tv, Patreon, pbs, PearVideo, PeerTube, People, PerformGroup, periscope, periscope:user, PhilharmonieDeParis, phoenix.de, Photobucket, Picarto, PicartoVod, Piksel, Pinkbike, Pinterest, PinterestCollection, Pladform, Platzi, PlatziCourse, play.fm, player.sky.it, PlayPlusTV, PlaysTV, Playtvak, Playvid, Playwire, pluralsight, pluralsight:course, podomatic, Pokemon, PolskieRadio, PolskieRadioCategory, Popcorntimes, PopcornTV, PornCom, PornerBros, PornHd, PornHub, PornHubPagedVideoList, PornHubUser, PornHubUserVideosUpload, Pornotube, PornoVoisines, PornoXO, PornTube, PressTV, prosiebensat1, puhutv, puhutv:serie, Puls4, Pyvideo, qqmusic, qqmusic:album, qqmusic:playlist, qqmusic:singer, qqmusic:toplist, QuantumTV, Qub, Quickline, QuicklineLive, R7, R7Article, radio.de, radiobremen, radiocanada, radiocanada:audiovideo, radiofrance, RadioJavan, Rai, RaiPlay, RaiPlayLive, RaiPlayPlaylist, RayWenderlich, RayWenderlichCourse, RBMARadio, RDS, RedBull, RedBullEmbed, RedBullTV, RedBullTVRrnContent, Reddit, RedditR, RedTube, RegioTV, RENTV, RENTVArticle, Restudy, Reuters, ReverbNation, RICE, RMCDecouverte, RockstarGames, RoosterTeeth, RottenTomatoes, Roxwel, Rozhlas, RTBF, rte, rte:radio, rtl.nl, rtl2, rtl2:you, rtl2:you:series, Rtmp, RTP, RTS, rtve.es:alacarta, rtve.es:infantil, rtve.es:live, rtve.es:television, RTVNH, RTVS, RUHD, RumbleEmbed, rutube, rutube:channel, rutube:embed, rutube:movie, rutube:person, rutube:playlist, RUTV, Ruutu, Ruv, safari, safari:api, safari:course, SAKTV, SaltTV, Sapo, savefrom.net, SBS, schooltv, screen.yahoo:search, Screencast, ScreencastOMatic, ScrippsNetworks, scrippsnetworks:watch, SCTE, SCTECourse, Seeker, SenateISVP, SendtoNews, Servus, Sexu, SeznamZpravy, SeznamZpravyArticle, Shahid, ShahidShow, Shared, ShowRoomLive, Sina, sky.it, sky:news, sky:sports, sky:sports:news, skyacademy.it, SkylineWebcams, skynewsarabia:article, skynewsarabia:video, Slideshare, SlidesLive, Slutload, Snotr, Sohu, SonyLIV, soundcloud, soundcloud:playlist, soundcloud:search, soundcloud:set, soundcloud:trackstation, soundcloud:user, SoundcloudEmbed, soundgasm, soundgasm:profile, southpark.cc.com, southpark.cc.com:español, southpark.de, southpark.nl, southparkstudios.dk, SpankBang, SpankBangPlaylist, Spankwire, Spiegel, sport.francetvinfo.fr, Sport5, SportBox, SportDeutschland, spotify, spotify:show, Spreaker, SpreakerPage, SpreakerShow, SpreakerShowPage, SpringboardPlatform, Sprout, sr:mediathek, SRGSSR, SRGSSRPlay, stanfordoc, Steam, Stitcher, StitcherShow, Streamable, streamcloud.eu, StreamCZ, StreetVoice, StretchInternet, stv:player, SunPorno, sverigesradio:episode, sverigesradio:publication, SVT, SVTPage, SVTPlay, SVTSeries, SWRMediathek, Syfy, SztvHu, t-online.de, Tagesschau, tagesschau:player, Tass, TBS, TDSLifeway, Teachable, TeachableCourse, teachertube, teachertube:user:collection, TeachingChannel, Teamcoco, TeamTreeHouse, TechTalks, techtv.mit.edu, ted, Tele13, Tele5, TeleBruxelles, Telecinco, Telegraaf, TeleMB, TeleQuebec, TeleQuebecEmission, TeleQuebecLive, TeleQuebecSquat, TeleQuebecVideo, TeleTask, Telewebion, TennisTV, TenPlay, TestURL, TF1, TFO, TheIntercept, ThePlatform, ThePlatformFeed, TheScene, TheStar, TheSun, TheWeatherChannel, ThisAmericanLife, ThisAV, ThisOldHouse, TikTok, TikTokUser (CURRENTLY BROKEN), tinypic, TMZ, TMZArticle, TNAFlix, TNAFlixNetworkEmbed, toggle, ToonGoggles, tou.tv, Toypics, ToypicsUser, TrailerAddict (CURRENTLY BROKEN), Trilulilu, Trovo, TrovoVod, TruNews, TruTV, Tube8, TubiTv, Tumblr, tunein:clip, tunein:program, tunein:shortener, tunein:station, tunein:topic, TunePk, Turbo, tv.dfb.de, TV2, tv2.hu, TV2Article, TV2DK, TV2DKBornholmPlay, TV4, TV5MondePlus, tv5unis, tv5unis:video, tv8.it, TVA, TVANouvelles, TVANouvellesArticle, TVC, TVCArticle, TVer, tvigle, tvland.com, TVN24, TVNet, TVNoe, TVNow, TVNowAnnual, TVNowNew, TVNowSeason, TVNowShow, tvp, tvp:embed, tvp:series, TVPlayer, TVPlayHome, Tweakers, TwitCasting, twitch:clips, twitch:stream, twitch:vod, TwitchCollection, TwitchVideos, TwitchVideosClips, TwitchVideosCollections, twitter, twitter:amplify, twitter:broadcast, twitter:card, udemy, udemy:course, UDNEmbed, UFCArabia, UFCTV, UKTVPlay, umg:de, UnicodeBOM, Unistra, Unity, uol.com.br, uplynk, uplynk:preplay, Urort, URPlay, USANetwork, USAToday, ustream, ustream:channel, ustudio, ustudio:embed, Varzesh3, Vbox7, VeeHD, Veoh, Vesti, Vevo, VevoPlaylist, VGTV, vh1.com, vhx:embed, Viafree, vice, vice:article, vice:show, Vidbit, Viddler, Videa, video.google:search, video.sky.it, video.sky.it:live, VideoDetective, videofy.me, videomore, videomore:season, videomore:video, VideoPress, Vidio, VidLii, vidme, vidme:user, vidme:user:likes, vier, vier:videos, viewlift, viewlift:embed, Viidea, viki, viki:channel, vimeo, vimeo:album, vimeo:channel, vimeo:group, vimeo:likes, vimeo:ondemand, vimeo:review, vimeo:user, vimeo:watchlater, Vimple, Vine, vine:user, Viqeo, Viu, viu:ott, viu:playlist, Vivo, vk, vk:uservideos, vk:wallpost, vlive, vlive:channel, vlive:post, Vodlocker, VODPl, VODPlatform, VoiceRepublic, Voot, VoxMedia, VoxMediaVolume, vpro, Vrak, VRT, VrtNU, vrv, vrv:series, VShare, VTM, VTXTV, vube, VuClip, VVVVID, VVVVIDShow, VyboryMos, Vzaar, Wakanim, Walla, WalyTV, washingtonpost, washingtonpost:article, wat.tv, WatchBox, WatchIndianPorn, WDR, wdr:mobile, WDRElefant, WDRPage, Webcaster, WebcasterFeed, WebOfStories, WebOfStoriesPlaylist, Weibo, WeiboMobile, WeiqiTV, Wistia, WistiaPlaylist, wnl, WorldStarHipHop, WSJ, WSJArticle, WWE, XBef, XboxClips, XFileShare, XHamster, XHamsterEmbed, XHamsterUser, xiami:album, xiami:artist, xiami:collection, xiami:song, ximalaya, ximalaya:album, XMinus, XNXX, Xstream, XTube, XTubeUser, Xuite, XVideos, XXXYMovies, Yahoo, yahoo:gyao, yahoo:gyao:player, yahoo:japannews, YandexDisk, yandexmusic:album, yandexmusic:artist:albums, yandexmusic:artist:tracks, yandexmusic:playlist, yandexmusic:track, YandexVideo, YapFiles, YesJapan, yinyuetai:video, Ynet, YouJizz, youku, youku:show, YouNowChannel, YouNowLive, YouNowMoment, YouPorn, YourPorn, YourUpload, youtube, youtube:favorites, youtube:history, youtube:playlist, youtube:recommended, youtube:search, youtube:search:date, youtube:subscriptions, youtube:tab, youtube:truncated_id, youtube:truncated_url, youtube:watchlater, YoutubeYtBe, YoutubeYtUser, Zapiks, Zattoo, ZattooLive, ZDF, ZDFChannel, zingmp3, Zype