Package: afni-atlases
Source: afni-data
Version: 0.20180120-1.1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
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: btrbk
Version: 0.26.0-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 306
Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2)
Recommends: openssh-client, pv
Homepage: http://digint.ch/btrbk/
Priority: optional
Section: utils
Filename: pool/main/b/btrbk/btrbk_0.26.0-1~nd16.10+1_all.deb
Size: 85878
SHA256: a74d8b863b7efd90d4ed048de4d74fafa5c6fc95df6a2b2eb0c99cd9278fe6de
SHA1: 48055beea98f934d344f5ade74edff797bf2a8c3
MD5sum: 7769effc47bbd3e6e6830de8c3eef175
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: datalad
Version: 0.17.5-1~nd+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 224
Depends: neurodebian-popularity-contest, python3-datalad (= 0.17.5-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any
Suggests: datalad-container, datalad-crawler, datalad-neuroimaging
Homepage: https://datalad.org
Priority: optional
Section: science
Filename: pool/main/d/datalad/datalad_0.17.5-1~nd+1_all.deb
Size: 187092
SHA256: dcfab5ab31ab85c685b4439648c3095efb236b34c92eb2f870fc1376dd0dbab1
SHA1: e8a088bc96e73f10444588eede93689410943c07
MD5sum: a4020bc221d05979fe1738d432660717
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)

Package: fail2ban
Version: 0.9.7-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 262474
SHA256: 3ea30f6147b8c438449464618578f6f78a21c6aaae0e19f07eb8f7989a038d7a
SHA1: eeaf48d38df1199ce608de4d13ba5228d8d74566
MD5sum: ba602683afe5185db86aeb4d4c7c226b
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: git-annex-remote-rclone
Version: 0.5-1~ndall+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 23
Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone
Homepage: https://github.com/DanielDent/git-annex-remote-rclone
Priority: optional
Section: utils
Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb
Size: 7842
SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319
SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5
MD5sum: 00c5a0407a998eba72d4f5eb0ad71189
Description: rclone-based git annex special remote
 This is a wrapper around rclone to make any destination supported by rclone
 usable with git-annex.
 .
 Cloud storage providers supported by rclone currently include:
   * Google Drive
   * Amazon S3
   * Openstack Swift / Rackspace cloud files / Memset Memstore
   * Dropbox
   * Google Cloud Storage
   * Microsoft One Drive
   * Hubic
   * Backblaze B2
   * Yandex Disk
 .
 Note: although Amazon Cloud Drive support is implemented, it is broken ATM
 see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 .

Package: golang-github-ncw-rclone-dev
Source: rclone
Version: 1.41-1~ndall0
Architecture: all
Maintainer: Debian Go Packaging Team <pkg-go-maintainers@lists.alioth.debian.org>
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: 0.4-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 170
Depends: neurodebian-popularity-contest, python, python-dcmstack, python-dicom, python-nibabel, python-numpy, python-nipype
Recommends: mricron, dcm2niix, python-pytest, python-datalad
Homepage: https://github.com/nipy/heudiconv
Priority: optional
Section: science
Filename: pool/main/h/heudiconv/heudiconv_0.4-1~nd16.10+1_all.deb
Size: 41266
SHA256: 073afca4c1ee4bd6c583dee0a738cf63a9eb55f864374f6ddf6021bfa733e5e6
SHA1: c586713e66236d710849441cf74d7ca06762e9e2
MD5sum: e88c056a2a65b913d793a196c210d562
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: 0.11.2-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 451
Depends: neurodebian-popularity-contest, python, python-pygame, python-pil | python-imaging, mupdf-tools (>= 1.5) | xpoppler-utils
Recommends: mplayer, pdftk, perl, xdg-utils
Suggests: ghostscript, latex-beamer
Conflicts: keyjnote (<< 0.10.2r-0)
Replaces: keyjnote (<< 0.10.2r-0)
Provides: keyjnote
Homepage: http://impressive.sourceforge.net/
Priority: optional
Section: x11
Filename: pool/main/i/impressive/impressive_0.11.2-1~nd16.10+1_all.deb
Size: 184246
SHA256: d79eb8627a481a19d1df12f60d1c431eb7b22363e9642681f87be51495950ab0
SHA1: 5379827694f157da5339d89bc84338b696dd22f7
MD5sum: d875c0bd024ffeecff6458574ffeb354
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: nuitka
Version: 0.5.28.2+ds-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3551
Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-appdirs | base-files (<< 7.2), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2), python:any (>= 2.7.5-5~)
Recommends: python-lxml (>= 2.3), python-pyqt5, strace, chrpath
Suggests: ccache
Homepage: http://nuitka.net
Priority: optional
Section: python
Filename: pool/main/n/nuitka/nuitka_0.5.28.2+ds-1~nd16.10+1_all.deb
Size: 707028
SHA256: d5439b5ed0f256f8365d85c3d1cab6ccc73f170bcaf522f9cad54000f57f2737
SHA1: 0145675e9f21f6dbc90402fab7b384047824b548
MD5sum: dbb14556f758a0124a3ff5430e8354d7
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: prov-tools
Source: python-prov
Version: 1.5.0-1+nd1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 24
Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd16.10+1)
Homepage: https://github.com/trungdong/prov
Priority: optional
Section: utils
Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd16.10+1_all.deb
Size: 6940
SHA256: 24cc27ea014089213c4668f054cf05b518abe716d3c75e085f5acd4afa03711b
SHA1: 55ceb639983a7137745ea53e7e91f7a0d664c6e6
MD5sum: 78a7ae5487e90461130569cbb4589fa6
Description: tools for prov
 A library for W3C Provenance Data Model supporting PROV-JSON and PROV-
 XML import/export.
 .
 Features:
  - An implementation of the W3C PROV Data Model in Python.
  - In-memory classes for PROV assertions, which can then be output
    as PROV-N.
  - Serialization and deserializtion support: PROV-JSON and PROV-XML.
  - Exporting PROV documents into various graphical formats (e.g. PDF,
    PNG, SVG).
 .
 This package provides the command-line tools for the prov library.

Package: psychopy
Version: 1.85.3.dfsg-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 15994
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), 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~nd16.10+1_all.deb
Size: 6666288
SHA256: d5c7267dc4fce87eee45e6b37ef3974c0ca09658a5f150b5dd174e7bf84e0d0d
SHA1: 6b013ce7e5a7ce42c6da6df98f5073a0a14801cf
MD5sum: 20b03b4744fb6d1e156cde68f6f2d75c
Description: environment for creating psychology stimuli in Python
 PsychoPy provides an environment for creating psychology stimuli
 using Python scripting language.  It combines the graphical
 strengths of OpenGL with easy Python syntax to give psychophysics
 a free and simple stimulus presentation and control package.
 .
 The goal is to provide, for the busy scientist, tools to control
 timing and windowing and a simple set of pre-packaged stimuli and
 methods.  PsychoPy features
 .
  - IDE GUI for coding in a powerful scripting language (Python)
  - Builder GUI for rapid development of stimulation sequences
  - Use of hardware-accelerated graphics (OpenGL)
  - Integration with Spectrascan PR650 for easy monitor calibration
  - Simple routines for staircase and constant stimuli experimental
    methods as well as curve-fitting and bootstrapping
  - Simple (or complex) GUIs via wxPython
  - Easy interfaces to joysticks, mice, sound cards etc. via PyGame
  - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli
Python-Version: 2.7

Package: psychtoolbox-3-common
Source: psychtoolbox-3
Version: 3.0.14.20171008.dfsg1-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 254246
Depends: neurodebian-popularity-contest
Recommends: alsa-utils
Suggests: gnuplot
Homepage: http://psychtoolbox.org
Priority: extra
Section: science
Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.14.20171008.dfsg1-1~nd16.10+1_all.deb
Size: 24269422
SHA256: 788ac8fb2653f199e235f2e0a489aed5d7c50a76f780532267a73742dfbf1397
SHA1: 88458e8843e33fd5fb2077fc764ecc83569fe178
MD5sum: 2066766af5690fd9ba003f086405cff7
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-json-tricks
Source: json-tricks
Version: 3.11.0-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 18920
SHA256: 1214e78e7b625a62ad1a44020dc0c1dea6f3a97c9f729feee64a15d918d9be20
SHA1: 7f61efd3214992100f6063ca821b3829118c1879
MD5sum: 6275e20181cd05e6d7b235051e25f7a7
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 11722
SHA256: f8327ad9264470f25d91c245a1d4209874bb7d47984f8522451ead235303a1c5
SHA1: 2f139138d041faebead2e77c3338d7d39f3ed175
MD5sum: 1077649801bbf70b8c3bd94e0e26aa8c
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-click
Version: 6.6-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 56174
SHA256: 32d0b5e186ff972dd41c006c235d02264ac9445d39dfa4791189f44f3096a91a
SHA1: f5306481f1332b056cfb87d4551dc75f5f6ee942
MD5sum: 4ed195d0c7aba265e847fd7b48554490
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: 0.9.1-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3821
Depends: neurodebian-popularity-contest, git-annex (>= 6.20170525~) | git-annex-standalone (>= 6.20170525~), patool, python-appdirs, python-git (>= 2.1.6~), python-github, python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage | python-keyring (<< 9.2), python-keyring, python-mock, python-msgpack, python-pyld, python-requests, python-tqdm, python-simplejson, python-six (>= 1.8.0), python-wrapt, python-boto, python-jsmin, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: python-html5lib, python-httpretty, python-nose, python-numpy, python-requests-ftp, python-scrapy, python-vcr, python-yaml
Suggests: python-bs4
Provides: python2.7-datalad
Homepage: http://datalad.org
Priority: optional
Section: python
Filename: pool/main/d/datalad/python-datalad_0.9.1-1~nd16.10+1_all.deb
Size: 741478
SHA256: a20e6ef5e68e8a0de3c964cfb6842b044a34f695fe92abf177989bc841f63903
SHA1: 9e1e5b741426013e2339e96e1fca277c75e2efd4
MD5sum: 0f02c6ccd4dc8babe035c2505196643e
Description: data files crawler and data distribution (Python 2)
 DataLad is a data distribution providing access to a wide range of
 data resources already available online (initially aiming at
 neuroscience domain). Using git-annex as its backend for data
 logistics it provides following facilities
 .
  - crawling of web sites to automatically prepare and update git-annex
    repositories with content from online websites, S3, etc
  - command line interface for manipulation of collections of datasets
    (install, uninstall, update, publish, save, etc.) and
 separate files/directories (add, get), as well as search within
 aggregated meta-data
 .
 This package installs the module for Python 2, and Recommends install
 all dependencies necessary for crawling, publishing, and testing.
 If you need base functionality, install without Recommends.

Package: python-dcmstack
Source: dcmstack
Version: 0.6.2+git36-gc12d27d-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 504
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: python
Filename: pool/main/d/dcmstack/python-dcmstack_0.6.2+git36-gc12d27d-1~nd16.10+1_all.deb
Size: 77448
SHA256: 56551275044a6062dfa2d2705462c0569bb9ff1f222664fac0e70b11fd927e13
SHA1: 52c044251b034525277fe516ae5c02a4ba2060c9
MD5sum: 53069b50b9fbc98d5fa0613fd5052ed0
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-dipy
Source: dipy
Version: 0.13.0-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 6960
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.13.0-2~nd16.10+1)
Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel
Suggests: ipython
Provides: python2.7-dipy
Homepage: http://dipy.org
Priority: extra
Section: python
Filename: pool/main/d/dipy/python-dipy_0.13.0-2~nd16.10+1_all.deb
Size: 3018672
SHA256: 05d4fb0e87ea02d775ef5a6dc6cb34cfc182de8f8b151c408cde800dcf7dff46
SHA1: 793b3273333ccc4af4d0fe66ea4d949f21f6dfd0
MD5sum: 05bcd1f48b6077a35b72856c7a5760ab
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: 0.13.0-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 14549
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_0.13.0-2~nd16.10+1_all.deb
Size: 10767296
SHA256: 76096b5a01cfa350b899087355b28be5a310dd8c7c2a0a9256a80ed381286c8e
SHA1: 7813c198d3a0ed608c664b88d0f4070101265e31
MD5sum: 60a623f69f11ab7c57c2df5cd00bd233
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-git
Version: 2.1.8-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 303754
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SHA1: a3dddd142e4bee95ee60fc86607552b29217aabb
MD5sum: fa5da8e271a41663bf021a147e6fb497
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 983
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~nd16.10+1_all.deb
Size: 128184
SHA256: ec4a979d2152fe6b56831b0cd5bae79eb790187ab150e715f261b0e83b876848
SHA1: 6c1989efca75520af9fa432f1ff4e4793727bfd6
MD5sum: d7f7c5183249b6ccb59d93bad9db003c
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-joblib
Source: joblib
Version: 0.11-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 505
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~)
Recommends: python-numpy, python-pytest, python-simplejson
Homepage: http://packages.python.org/joblib/
Priority: optional
Section: python
Filename: pool/main/j/joblib/python-joblib_0.11-1~nd16.10+1_all.deb
Size: 120346
SHA256: 805aa4ac4b965bd48e92ce2301a67914eda8ed16ee15df501ff716dfec4ad37c
SHA1: df4323f3cde521ea9fdf4ec30c3ac61921d5ac65
MD5sum: 7470575d331f3f5de79e0eaf358efb4b
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 24524
SHA256: 69fc4d156e8b1681d8396bf3567d59b36ad4375135058b2d00730879fa177ef7
SHA1: 9d370224b5c2658ad78ff5bb5a048e0ca8955395
MD5sum: e2e27986106b246a7a85b89c00d0b1d7
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-mne
Version: 0.15.2+dfsg-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 11266
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib, xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui, libjs-d3
Recommends: python-nose, python-pytest, python-nibabel, mayavi2
Suggests: python-dap, python-pycuda, ipython
Provides: python2.7-mne
Homepage: http://martinos.org/mne
Priority: optional
Section: python
Filename: pool/main/p/python-mne/python-mne_0.15.2+dfsg-2~nd16.10+1_all.deb
Size: 4978730
SHA256: 72f052ab210147048f4611abb171e15f436ca1311e072d6a607ce1e87ddbfc7a
SHA1: 4601347fc9030d0d175dcd8e38e1f04b7f152a83
MD5sum: 8e822d5bf243988b13cf354ce8f28077
Description: Python modules for MEG and EEG data analysis
 This package is designed for sensor- and source-space analysis of MEG
 and EEG data, including frequency-domain and time-frequency analyses
 and non-parametric statistics.

Package: python-mvpa2
Source: pymvpa2
Version: 2.6.3-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 8572
Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.3-1~nd16.10+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_2.6.3-1~nd16.10+1_all.deb
Size: 5101838
SHA256: 8c1a86991ac8f075f6964254fa746a0cd67c570f96c0d7e8fa33003959dedb90
SHA1: 654ef0e0dda787815f4c15b943b05b695c8f3ca5
MD5sum: e5d48eefa6818d75ba7e336b1b93270c
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: 2.6.3-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 36370
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_2.6.3-1~nd16.10+1_all.deb
Size: 4652370
SHA256: 033a35f53d7d5334f4c41bd65eee6752008290b1c365e62efaffd4a9cc0a93cb
SHA1: 3a00aece3e7523d16c6af0763cdf2e462fe5bcb9
MD5sum: 12a1e5587507cb5cb3f47dbef0099da0
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: 2.2.1-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 64681
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy, python-scipy
Recommends: python-dicom, python-fuse, python-mock
Suggests: python-nibabel-doc
Homepage: http://nipy.sourceforge.net/nibabel
Priority: extra
Section: python
Filename: pool/main/n/nibabel/python-nibabel_2.2.1-1~nd16.10+1_all.deb
Size: 2201056
SHA256: 5dceb775e9220002da54bef6816b849a38d70a7517241dba2cc7e0afff1f0274
SHA1: 26655ea4ade247b960523b5c7d3fbf0c57595786
MD5sum: 20fb1392f489ed3086e50a41ab0a75f9
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: 2.2.1-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 20821
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_2.2.1-1~nd16.10+1_all.deb
Size: 3107376
SHA256: 4575497e3d58fa923acaf531e145e9187c27a5b82751f4652c2981ff3ed6b301
SHA1: c0def4b3c991216f538cf06e37c65d044096b776
MD5sum: f61021307bfa452dfdee87b6c85c9562
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: 0.4.1-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3545
Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.1-2~nd16.10+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_0.4.1-2~nd16.10+1_all.deb
Size: 781106
SHA256: d96e896a8ec4de767ba09de897b8bd29a73f19749766b1f4fb6f16e6dcac6073
SHA1: c50a9f10115b3ebdeef98482a18941882eeeba53
MD5sum: c1905b5353d97e2a93a41e10702d9062
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: 0.4.1-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 10719
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_0.4.1-2~nd16.10+1_all.deb
Size: 2859480
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MD5sum: bdc0421d342b54778ec6b98d9957ba1c
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: 0.14.0-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 10609
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-numpy, python-dateutil, python-scipy, python-traits, python-future, python-simplejson, python-prov, python-click, python-funcsigs, python-pytest, python-mock, python-pydotplus, python-pydot, python-packaging, python-configparser, python-traits (>= 4.0) | python-traits4, python-psutil
Recommends: ipython, graphviz, python-xvfbwrapper, mayavi2, python-cfflib
Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants
Provides: python2.7-nipype
Homepage: http://nipy.sourceforge.net/nipype/
Priority: optional
Section: python
Filename: pool/main/n/nipype/python-nipype_0.14.0-1~nd16.10+1_all.deb
Size: 1857550
SHA256: 97c82d92dd0e8802a2e3cd9ebe9ffa588d446865ff3d3b32695abbaaaa1ee0bd
SHA1: 03f7345d5cf680d776ad6a38fd5c62bc612c7e6a
MD5sum: 0d83213743c082e25b12e99a4f3af5ed
Description: Neuroimaging data analysis pipelines in Python
 Nipype interfaces Python to other neuroimaging packages and creates
 an API for specifying a full analysis pipeline in Python.  Currently,
 it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be
 extended for other packages (such as lipsia).

Package: python-nipype-doc
Source: nipype
Version: 0.14.0-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 43268
Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore
Suggests: python-nipype
Homepage: http://nipy.sourceforge.net/nipype/
Priority: optional
Section: doc
Filename: pool/main/n/nipype/python-nipype-doc_0.14.0-1~nd16.10+1_all.deb
Size: 19912946
SHA256: 92c18512af91bb3be5321a6f1c566f22a5d911276759096240c0884d5375b354
SHA1: 005c47bcb9b0dd3f91c743fdde85249f711f3bb5
MD5sum: 3764d675a444e8310ed4b2c2974e96d5
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-openpyxl
Source: openpyxl
Version: 2.4.9-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1525
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-jdcal, python-et-xmlfile, python-lxml (>= 3.3.4)
Recommends: python-pytest, python-pil
Homepage: http://bitbucket.org/openpyxl/openpyxl/
Priority: optional
Section: python
Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd16.10+1_all.deb
Size: 221716
SHA256: 19c394da68bedb6fc8e38c2e0f80a0fe952bb021cc3351333defa284dd59ac17
SHA1: 4f1f76f27b31be7af989dbbcc168519c1e874ece
MD5sum: fb3edf8e2597cf46713539f5120707ea
Description: Python module to read/write OpenXML xlsx/xlsm files
 Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML)
 xlsx/xlsm files.

Package: python-pprocess
Source: pprocess
Version: 0.5-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 83172
SHA256: c875c3e07f2204b4a22a426d7c8c89df415d797f23d2b8e6069545456dd527fd
SHA1: e2525465a40f3be802602cf0477c8f34a1cc7b32
MD5sum: 37e65fd749b7988bb8e0ebaa5aca3cd8
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-prov
Version: 1.5.0-1+nd1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1951
Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-rdflib, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~)
Suggests: python-prov-doc, python-pydotplus
Homepage: https://github.com/trungdong/prov
Priority: optional
Section: python
Filename: pool/main/p/python-prov/python-prov_1.5.0-1+nd1~nd16.10+1_all.deb
Size: 100618
SHA256: b8d985f4238ad8deaa139f3bcc9f0d08d3606e378bf62ef2177878651f5a18da
SHA1: 93238737516ecc64ecb95dc27680859712640de7
MD5sum: c99ea8d71581c47a6946e483160b8827
Description: W3C Provenance Data Model (Python 2)
 A library for W3C Provenance Data Model supporting PROV-JSON and PROV-
 XML import/export.
 .
 Features:
  - An implementation of the W3C PROV Data Model in Python.
  - In-memory classes for PROV assertions, which can then be output
    as PROV-N.
  - Serialization and deserializtion support: PROV-JSON and PROV-XML.
  - Exporting PROV documents into various graphical formats (e.g. PDF,
    PNG, SVG).
 .
 This package provides the prov library for Python 2.

Package: python-prov-doc
Source: python-prov
Version: 1.5.0-1+nd1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 958
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Homepage: https://github.com/trungdong/prov
Priority: optional
Section: doc
Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd16.10+1_all.deb
Size: 76636
SHA256: 2aeee990c70b45c5062f5033caa78bf32c908857a9d192822899e23d1bd1076c
SHA1: 99b6cafe7c834ccb945d62dfe899f8630f7a3a51
MD5sum: a4d76b310e84cda436af0dff14749942
Description: documentation for prov
 A library for W3C Provenance Data Model supporting PROV-JSON and PROV-
 XML import/export.
 .
 Features:
  - An implementation of the W3C PROV Data Model in Python.
  - In-memory classes for PROV assertions, which can then be output
    as PROV-N.
  - Serialization and deserializtion support: PROV-JSON and PROV-XML.
  - Exporting PROV documents into various graphical formats (e.g. PDF,
    PNG, SVG).
 .
 This package provides the documentation for the prov library.

Package: python-pydotplus
Version: 2.0.2-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 20322
SHA256: f0bcc06713e2224bc5df41330d7080f7cd30c2bfea27a900946a834529002562
SHA1: 0188b4080058fc2fac657702776fb15438857e8d
MD5sum: 3244608551cac07910f20069b088a5e2
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 533
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~nd16.10+1_all.deb
Size: 47682
SHA256: e652381942582d862b29b8c2c2599c11f6458ebf88efd8c750f4f5da2217b4ec
SHA1: 8b8e82888144d8d52a7cc68056af2ebc6a2bdacc
MD5sum: 23f2b5dd0d7141533ca3aca0f6ec9313
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 1423804
SHA256: 0711d6cac0b3413f8e5a9514059ba2bdafdf4ebfa3256a57d60e0e2933fe8b28
SHA1: eeca480dc6cb23c28f025a0d099fdd84eb4d05b7
MD5sum: 523e17b185872fd734a52eba29f100f9
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-rdflib
Source: rdflib
Version: 4.2.1-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1240
Depends: neurodebian-popularity-contest, python-isodate, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: python-sparqlwrapper (>= 1.7.6~), python-html5lib
Suggests: python-rdflib-doc, python-rdflib-tools
Provides: python2.7-rdflib
Homepage: https://github.com/RDFLib/rdflib
Priority: optional
Section: python
Filename: pool/main/r/rdflib/python-rdflib_4.2.1-2~nd16.10+1_all.deb
Size: 238040
SHA256: 7642c218dcfde52f7de9861becad685fcd9c6b61465d81ee700c34c8f36c96be
SHA1: 6d57a60c0ee0d52d5da134cd101a932d5a0728f9
MD5sum: 360f8c41818a3fb7d95d67042ac02699
Description: Python library containing an RDF triple store and RDF parsers/serializers
 RDFLib is a Python library for working with the RDF W3C standard. The
 library contains RDF parsers/serializers and both in-memory and
 persistent Graph backend.
 .
 This package contains the Python 2 version of RDFLib.

Package: python-rdflib-doc
Source: rdflib
Version: 4.2.1-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 8157
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Built-Using: sphinx (= 1.4.8-1)
Homepage: https://github.com/RDFLib/rdflib
Priority: optional
Section: doc
Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd16.10+1_all.deb
Size: 589198
SHA256: 57baa851a1099a6d7f9471dd2b8c5d19d2192f44c1d0b09cd8fef12c2e867c04
SHA1: 8bf933a8b919240764f16c6a371a1417d41f7a60
MD5sum: 871960e931c3879ad04040e95b7c3c41
Description: Python library containing an RDF triple store [...] (documentation)
 RDFLib is a Python library for working with the RDF W3C standard. The
 library contains RDF parsers/serializers and both in-memory and
 persistent Graph backend.
 .
 This is the common documentation package.

Package: python-rdflib-tools
Source: rdflib
Version: 4.2.1-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 38
Depends: neurodebian-popularity-contest, python, python-rdflib (>= 4.0.1-1)
Breaks: python-rdflib (<< 4.0.1-1)
Replaces: python-rdflib (<< 4.0.1-1)
Homepage: https://github.com/RDFLib/rdflib
Priority: optional
Section: python
Filename: pool/main/r/rdflib/python-rdflib-tools_4.2.1-2~nd16.10+1_all.deb
Size: 11846
SHA256: a27dc1fbc95fd66006da2c6d34ed25c29b1ec1205876a6d81eb04b25285182d1
SHA1: 07b79a3099d4f1f6954fc5c71b7300973b956579
MD5sum: f7fd79d5deafd8a2120fc2535b3a9307
Description: Python tools for converting to and from RDF
 RDFLib is a Python library for working with the RDF W3C standard. The
 library contains RDF parsers/serializers and both in-memory and
 persistent Graph backend.
 .
 This package contains some executable tools.

Package: python-rpaths-doc
Source: python-rpaths
Version: 0.13-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 127
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Built-Using: sphinx (= 1.4.8-1)
Homepage: https://github.com/remram44/rpaths/
Priority: optional
Section: doc
Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd16.10+1_all.deb
Size: 24354
SHA256: 03ece9d40d15573e765826a5e0cb2fede24aea6c32224f1b9d646150a1cc957b
SHA1: 6ded8d37eb1fb0a417b6287ae592be3d29ba58db
MD5sum: 2bdca8a7db016c8733c79c5f7faf30d4
Description: documentation for rpaths
 rpaths is another path manipulation library for Python. It is heavily inspired
 by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX
 compatibility.
 .
 This package provides the documentation.

Package: python-scikits-learn
Source: scikit-learn
Version: 0.19.1-3~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 85548
SHA256: 8a12568bfd682a5f701dc7b02e5e60d9a6648c1d4bf03823b572754dc391763c
SHA1: 525d4d1c66b6be9051f3596cebe4c2d94c553e9a
MD5sum: 384598b66d624b52ca5c53a146220c99
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 11738
SHA256: d7d0eaa92508856ae7188526eb4b26781759b8ef910a2a993524a6b475e2e254
SHA1: 207de16057a2c63a0eb0c1327f4bdd78c084d8b0
MD5sum: 65af7495f42b787aad734863659026ea
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: 0.19.1-3~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 7020
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.1-3~nd16.10+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_0.19.1-3~nd16.10+1_all.deb
Size: 1456578
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SHA1: e436473a58a17e9be0661d6a3de031aecc161aa0
MD5sum: 474dc36bf025a455fff9f0d8500c7ec2
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: 0.19.1-3~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 33145
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_0.19.1-3~nd16.10+1_all.deb
Size: 5047662
SHA256: d47ee217deab173cbcf58acf0a4a2cb27297c0b97b787636cb2b7779b347e685
SHA1: 15077df1848edd36fbac8ee68b27a73f545d67ac
MD5sum: 7da164a6c69e721f50cde0447635e896
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 22154
SHA256: f67e9698585def43ce0cb843da98688250bf4980813d56d5466d9a7a76ef9f2f
SHA1: eec079be52007a036e25b3b0a097610c776a29fa
MD5sum: 3c377e1fd34d8a0dbf14827d89241dc7
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-whoosh
Version: 2.7.4+git6-g9134ad92-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 290748
SHA256: 18a1aea1cc556dfcdc026d7dd3402d8a9da92accc80702b1b265dfbf07b78608
SHA1: 62cbe449395f35bc6d96c70c539a4d7c38713e3b
MD5sum: 8f1f1e8eb42f440e7c991560d6238178
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 2218
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~nd16.10+1_all.deb
Size: 242488
SHA256: 8a79e85853aef625e9c45e3585cf21569b4c9f6ba30d6b1993e1caa7a4074ef5
SHA1: d83c5d50324302ec657b6df5c0ff7197e8ed4eae
MD5sum: f585674764ee3426557485866d9dbf96
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 465
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~nd16.10+1_all.deb
Size: 51954
SHA256: 05dcf728c1a633f29072bced4962c9c546be594928b3c10c2a38824f6521d33f
SHA1: 411b680fbe227e0ea8ebe7f7bf984bbdb3b6f011
MD5sum: 73bf45d7d19f60f49809f451a5a88989
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-click
Source: python-click
Version: 6.6-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 56250
SHA256: 4447a544b603f966204d9e2fb175df83c81769c7f7fe3aa6de425fd9b66ed860
SHA1: 235894dc54c7fddd1c2696390855e99cecc3fcc2
MD5sum: 9003dbb977789a8ccef55badbe49b1de
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: 0.17.5-1~nd+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 4665
Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.10), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-chardet, python3-packaging, python3:any
Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh
Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy
Breaks: datalad-container (<< 1.1.2)
Homepage: https://datalad.org
Priority: optional
Section: python
Filename: pool/main/d/datalad/python3-datalad_0.17.5-1~nd+1_all.deb
Size: 958872
SHA256: 1f3e16c16863bab40ba92405109ab26c78f19e3e86e2b38733a035221c4e7744
SHA1: 873da190eb5ee83576ff519c2d564e1f841abe5b
MD5sum: 7a97a6f55929cc103dd60d7783a9565e
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-git
Source: python-git
Version: 2.1.8-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 303484
SHA256: 8460db66ce592c040070c6cfc873ee9cb74694a0b63262084ebaca8c737e70fd
SHA1: 8c2172b333ee9998359d67fe828f758b694442af
MD5sum: b44b99fd478801913798ddef14dc0181
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-joblib
Source: joblib
Version: 0.11-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 500
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Recommends: python3-numpy, python3-pytest, python3-simplejson
Homepage: http://packages.python.org/joblib/
Priority: optional
Section: python
Filename: pool/main/j/joblib/python3-joblib_0.11-1~nd16.10+1_all.deb
Size: 117594
SHA256: 93b1da97fd232ff29fa2949b66465c36e4ecaa0fd3fd9fbf6b79b9fe366a8a97
SHA1: 3601c89ddf2ab0121576210d8bc9a56b03a84db0
MD5sum: a4e099f2e14cc3ccc6eab0cbf1a13bba
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 18902
SHA256: 753b7c9f681e8b9adb8057b17720fefa8219008b2397a1d327890ad65e88a45f
SHA1: 076690823f1df6a21be098598c19ec6fcefc661f
MD5sum: 382d6deabffaa8303a77300a897b35ca
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-nibabel
Source: nibabel
Version: 2.2.1-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 64653
Depends: neurodebian-popularity-contest, python3-numpy, python3-scipy
Suggests: python-nibabel-doc, python3-dicom, python3-fuse, python3-mock
Homepage: http://nipy.sourceforge.net/nibabel
Priority: extra
Section: python
Filename: pool/main/n/nibabel/python3-nibabel_2.2.1-1~nd16.10+1_all.deb
Size: 2193262
SHA256: e223ce5894f08f916d87d9f7a98082dcdd94f2838a1850e7cfce7a3237fd51f2
SHA1: 67a27985a19bd8f666ce6e0bbf1d55722d0f76c4
MD5sum: fdc5dc56d1a80d5d26aa369d5e11548f
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-openpyxl
Source: openpyxl
Version: 2.4.9-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1521
Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4)
Recommends: python3-pytest, python3-pil
Homepage: http://bitbucket.org/openpyxl/openpyxl/
Priority: optional
Section: python
Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd16.10+1_all.deb
Size: 220768
SHA256: 030b9537e6f2a5ad06c5368b67424f8d83f71034f2574c138ddbb8803915eb0b
SHA1: 119963bfaa663eb9f6186a9c75c3b8c6be1fbbce
MD5sum: 97fba8914d237868b2f71dde2c535a3d
Description: Python 3 module to read/write OpenXML xlsx/xlsm files
 Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML)
 xlsx/xlsm files.

Package: python3-prov
Source: python-prov
Version: 1.5.0-1+nd1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1951
Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx, python3-rdflib (>= 4.2.1), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~)
Suggests: python-prov-doc, python3-pydotplus
Homepage: https://github.com/trungdong/prov
Priority: optional
Section: python
Filename: pool/main/p/python-prov/python3-prov_1.5.0-1+nd1~nd16.10+1_all.deb
Size: 100790
SHA256: eda116fc858ae257731653425cbc4fc70fb7315125715f84d5a2e9a15e5d35c9
SHA1: 655f5be48a6e1709b647bf7f49b6ffd768aef9c2
MD5sum: 8913f06d2daac4bde60b70f45c4079f7
Description: W3C Provenance Data Model (Python 3)
 A library for W3C Provenance Data Model supporting PROV-JSON and PROV-
 XML import/export.
 .
 Features:
  - An implementation of the W3C PROV Data Model in Python.
  - In-memory classes for PROV assertions, which can then be output
    as PROV-N.
  - Serialization and deserializtion support: PROV-JSON and PROV-XML.
  - Exporting PROV documents into various graphical formats (e.g. PDF,
    PNG, SVG).
 .
 This package provides the prov library for Python 3.

Package: python3-pydotplus
Source: python-pydotplus
Version: 2.0.2-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 20402
SHA256: 109cf12269bab55a82c280b1d922ab95cf47ead0951e7483d2e87d6db6fbe4ae
SHA1: 31fdf098923e50a5690db9d29506c819a86e463a
MD5sum: f83f3759a21211f2c396b30e3a4168bf
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-rdflib
Source: rdflib
Version: 4.2.1-2~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1237
Depends: neurodebian-popularity-contest, python3-isodate, python3-pyparsing, python3:any (>= 3.3.2-2~)
Recommends: python3-sparqlwrapper (>= 1.7.6~), python3-html5lib
Suggests: python-rdflib-doc
Homepage: https://github.com/RDFLib/rdflib
Priority: optional
Section: python
Filename: pool/main/r/rdflib/python3-rdflib_4.2.1-2~nd16.10+1_all.deb
Size: 236730
SHA256: db9dec2d407ae2787996462c3fd775921bf5c1b21ea7746868075533a7fc0cc7
SHA1: 4f827c396ac390ce7218da712f2e693f236d59b5
MD5sum: 50d98931750dae9df2dc7de136c0c92e
Description: Python 3 library containing an RDF triple store and RDF parsers/serializers
 RDFLib is a Python library for working with the RDF W3C standard. The
 library contains RDF parsers/serializers and both in-memory and
 persistent Graph backend.
 .
 This package contains the Python 3 version of RDFLib.

Package: python3-rpaths
Source: python-rpaths
Version: 0.13-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 59
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Suggests: python-rpaths-doc
Homepage: https://github.com/remram44/rpaths/
Priority: optional
Section: python
Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd16.10+1_all.deb
Size: 12866
SHA256: 903d6e377acfa41416c78861f37347f27787709a15b98f24cbea63fdb0d17d09
SHA1: f9ab8c5a2871155718a6cec6d93f82ebfdb23220
MD5sum: d8d631ca51b3db9d2234ad5edcff0aca
Description: cross-platform path manipulation library for Python
 rpaths is another path manipulation library for Python. It is heavily inspired
 by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX
 compatibility.
 .
 This package provides the modules for Python 3.

Package: python3-six
Source: six
Version: 1.10.0-3~bpo8+1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 11806
SHA256: cd3f5393d91d7a1fa195de718d5dc3864b177911a192735db50fdc2c5f246b42
SHA1: 24cd769f947d17d22686059430a1e24f9d4caca1
MD5sum: 903de41fa224b9cce6e216852c4c73c3
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: 0.19.1-3~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 7019
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.1-3~nd16.10+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_0.19.1-3~nd16.10+1_all.deb
Size: 1456490
SHA256: be69b02da447fa4b4064646fd2b1a70aef9584f2f3638fc8e807a15590a608c2
SHA1: 56a9e4fbb55dc55a8715eb4e47ed10dd80adba9b
MD5sum: b6c4392ecbc6f0a17c9c921521109160
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~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 20738
SHA256: 36093261a89c7467e3f6df6c0920f811d6e51217fa075f50ae9f42587aadfcef
SHA1: b3ebc2410d20b5f1471823943b8bdb992154fd62
MD5sum: aae68947aa38773bbbd5768019a15e77
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-whoosh
Source: python-whoosh
Version: 2.7.4+git6-g9134ad92-1~nd16.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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~nd16.10+1_all.deb
Size: 290750
SHA256: 60f0a9643a3807a1bea26c95d1a1ab571a7515ebe35ae83ad234094bea59580b
SHA1: 3fa40ccf4905753d5c92011ac0a6355af2378a6d
MD5sum: 11749974bf698038ea19d654b4540b4d
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: youtube-dl
Version: 2021.12.17-1~nd110+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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