Package: datalad
Version: 0.9.1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 104
Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.9.1-1~nd16.04+1), python:any
Homepage: http://datalad.org
Priority: optional
Section: science
Filename: pool/main/d/datalad/datalad_0.9.1-1~nd16.04+1_all.deb
Size: 72374
SHA256: eeac105644ac6d9c94f175326d3a72e22700d63bdd98f0300c290a02087f0893
SHA1: 6a38e56a97aff81ae1fc3e34e5cbbef2a78efd43
MD5sum: d0f66484621b2fd5f5835d3d4d0bfb65
Description: data files crawler and data distribution
 DataLad is a data distribution providing access to a wide range of
 data resources already available online (initially aiming at
 neuroscience domain). Using git-annex as its backend for data
 logistics it provides following facilities
 .
  - crawling of web sites to automatically prepare and update git-annex
    repositories with content from online websites, S3, etc
  - command line interface for manipulation of collections of datasets
    (install, uninstall, update, publish, save, etc.) and
 separate files/directories (add, get), as well as search within
 aggregated meta-data
 .
 This package provides the command line tool.  Install without
 Recommends if you need only core functionality.

Package: fail2ban
Version: 0.9.7-1~nd16.04+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~nd16.04+1_all.deb
Size: 263620
SHA256: b03d502cda5aa71922761c1df64c50cd71e07b59c6aca7556718d7ec6bc1cd80
SHA1: 8d69c55f37571cb94facc41de4d5d7385c5c6729
MD5sum: 8e61ce74c577ebf7d0af2a971ca61d7c
Description: ban hosts that cause multiple authentication errors
 Fail2ban monitors log files (e.g. /var/log/auth.log,
 /var/log/apache/access.log) and temporarily or persistently bans
 failure-prone addresses by updating existing firewall rules.  Fail2ban
 allows easy specification of different actions to be taken such as to ban
 an IP using iptables or hostsdeny rules, or simply to send a notification
 email.
 .
 By default, it comes with filter expressions for various services
 (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be
 easily extended for monitoring any other text file.  All filters and
 actions are given in the config files, thus fail2ban can be adopted
 to be used with a variety of files and firewalls.  Following recommends
 are listed:
 .
  - iptables -- default installation uses iptables for banning. You most
    probably need it
  - whois -- used by a number of *mail-whois* actions to send notification
    emails with whois information about attacker hosts. Unless you will use
    those you don't need whois
  - python3-pyinotify -- unless you monitor services logs via systemd, you
    need pyinotify for efficient monitoring for log files changes

Package: fsleyes
Version: 0.15.1-2~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 239480
Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Priority: optional
Section: science
Filename: pool/main/f/fsleyes/fsleyes_0.15.1-2~nd16.04+1_all.deb
Size: 33200182
SHA256: 4c3e8ca647dc8f0fc28b0e143861bccdef60709a3ecf0ce91c9582f5383d4c82
SHA1: 142d9154407af64cac2affddba814d89edda29af
MD5sum: 5d1da84a2444088f1bca4ea784d9fc38
Description: FSL image viewer
 Feature-rich viewer for volumetric (medical) images.

Package: git-annex-metadata-gui
Version: 0.0.0~pre1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 60
Depends: neurodebian-popularity-contest, python3-git-annex-adapter, python3-pyqt5, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/alpernebbi/git-annex-metadata-gui
Priority: optional
Section: python
Filename: pool/main/g/git-annex-metadata-gui/git-annex-metadata-gui_0.0.0~pre1-1~nd16.04+1_all.deb
Size: 10326
SHA256: 84eae851a9a3219b0ed7e22c062b2c05f6fd614b11748324e085f8f96b0a76ef
SHA1: 8aed7cf7c1092d4fe898927457e13bdc512a9176
MD5sum: 36389572dc0866a39d5897d8d1b275d3
Description: graphical interface to the metadata functionality of git-annex
 Flexible graphical user interface to view and manipulate metadata
 of git-annex repositories.

Package: git-annex-remote-rclone
Version: 0.5-1~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: 1.36-1~ndall0
Architecture: all
Maintainer: Debian Go Packaging Team <pkg-go-maintainers@lists.alioth.debian.org>
Installed-Size: 1198
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-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
Built-Using: go-md2man (= 1.0.6+ds-1), golang-1.7 (= 1.7.4-2), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-blackfriday (= 1.4+git20161003.40.5f33e7b-1), golang-github-aws-aws-sdk-go (= 1.1.14+dfsg-2), golang-github-davecgh-go-spew (= 1.1.0-1), golang-github-go-ini-ini (= 1.8.6-2), golang-github-google-go-querystring (= 0.0~git20151028.0.2a60fc2-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-ncw-go-acd (= 0.0~git20161119.0.7954f1f-1), golang-github-ncw-swift (= 0.0~git20160617.0.b964f2c-2), golang-github-pkg-errors (= 0.8.0-1), golang-github-pkg-sftp (= 0.0~git20160930.0.4d0e916-1), golang-github-pmezard-go-difflib (= 1.0.0-1), golang-github-rfjakob-eme (= 1.0-2), golang-github-shurcool-sanitized-anchor-name (= 0.0~git20160918.0.1dba4b3-1), golang-github-skratchdot-open-golang (= 0.0~git20160302.0.75fb7ed-2), golang-github-spf13-cobra (= 0.0~git20161229.0.1dd5ff2-1), golang-github-spf13-pflag (= 0.0~git20161024.0.5ccb023-1), golang-github-stacktic-dropbox (= 0.0~git20160424.0.58f839b-2), golang-github-tsenart-tb (= 0.0~git20151208.0.19f4c3d-2), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-go.crypto (= 1:0.0~git20170407.0.55a552f+REALLY.0.0~git20161012.0.5f31782-1), golang-golang-x-net-dev (= 1:0.0+git20161013.8b4af36+dfsg-3), golang-golang-x-oauth2 (= 0.0~git20161103.0.36bc617-4), golang-golang-x-sys (= 0.0~git20161122.0.30237cf-1), golang-google-api (= 0.0~git20161128.3cc2e59-2), golang-google-cloud (= 0.5.0-2), golang-testify (= 1.1.4+ds-1), golang-x-text (= 0.0~git20161013.0.c745997-2)
Homepage: https://github.com/ncw/rclone
Priority: extra
Section: devel
Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.36-1~ndall0_all.deb
Size: 201776
SHA256: 88274c394a26a9f8f5f4766873acde54192537112e0f0e24ddfff1b9a5361f7c
SHA1: fb44d37c3df4bdf641c85720b35bbfd835870a05
MD5sum: fdc9cfc7b0a9e18cdc83ed2fbce61433
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: 0.1+git94-g85a2afb-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 91
Depends: neurodebian-popularity-contest, python, python-dcmstack, python-dicom, python-nibabel, python-numpy, python-nipype
Recommends: mricron, dcm2niix
Homepage: https://github.com/nipy/heudiconv
Priority: optional
Section: science
Filename: pool/main/h/heudiconv/heudiconv_0.1+git94-g85a2afb-1~nd16.04+1_all.deb
Size: 19482
SHA256: 9b80115f5bfc054e8bca6757b9aa6bc87037a5b09925657342d1ea8990d40795
SHA1: ef3b88e3339c47789c9809cad2818b2c72219304
MD5sum: 5a292432de6b1d070ce7b11ecf5e3004
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: nuitka
Version: 0.5.28+ds-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3543
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+ds-1~nd16.04+1_all.deb
Size: 706966
SHA256: 3ed50cb7a0611a5b30c6fab16c0e7aaac76c0ec070e701aa5544a4240cdbca37
SHA1: 88222e6a119ae008c86bd4f5590143de9e069550
MD5sum: d8af402ba5a1917f11b01e512648e2b0
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: psychopy
Version: 1.85.3.dfsg-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 15994
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj
Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future
Suggests: python-iolabs, python-pyxid, libavbin0
Conflicts: libavbin0 (= 7-4+b1)
Homepage: http://www.psychopy.org
Priority: optional
Section: science
Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd16.04+1_all.deb
Size: 6618940
SHA256: 27c6237091516aa46f7ff786230efdd638bcdb0007a16e4139bfbb69ce7b1b7e
SHA1: bb3a846e10fafc823913898101b51e7badcbff64
MD5sum: f88081f84ee6557285239f39cfd17883
Description: environment for creating psychology stimuli in Python
 PsychoPy provides an environment for creating psychology stimuli
 using Python scripting language.  It combines the graphical
 strengths of OpenGL with easy Python syntax to give psychophysics
 a free and simple stimulus presentation and control package.
 .
 The goal is to provide, for the busy scientist, tools to control
 timing and windowing and a simple set of pre-packaged stimuli and
 methods.  PsychoPy features
 .
  - IDE GUI for coding in a powerful scripting language (Python)
  - Builder GUI for rapid development of stimulation sequences
  - Use of hardware-accelerated graphics (OpenGL)
  - Integration with Spectrascan PR650 for easy monitor calibration
  - Simple routines for staircase and constant stimuli experimental
    methods as well as curve-fitting and bootstrapping
  - Simple (or complex) GUIs via wxPython
  - Easy interfaces to joysticks, mice, sound cards etc. via PyGame
  - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli
Python-Version: 2.7

Package: psychtoolbox-3-common
Source: psychtoolbox-3
Version: 3.0.14.20170611.dfsg1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 254124
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_3.0.14.20170611.dfsg1-1~nd16.04+1_all.deb
Size: 24439218
SHA256: 66f79c0bb1eeb4d02c190a72f52ed0d0a492d2d8ea1f7ceffe4de0959827205c
SHA1: a57290547c39e911b2cce861dcb0ce0ce87ac720
MD5sum: 6b44b6da8f60fa70c20f96943c45434d
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-six
Source: six
Version: 1.10.0-3~bpo8+1~nd16.04+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~nd16.04+1_all.deb
Size: 11734
SHA256: c6109c0e56ee0185b0c2b2048d80d4dfca1e54794fed44cdea78cdbe50421e43
SHA1: 8474dde97e39637f12c220ea65ebe06ea9b2cdc3
MD5sum: 374add4c5e6975ab260bb266f76abaaf
Description: Python 2 and 3 compatibility library (PyPy interface)
 Six is a Python 2 and 3 compatibility library. It provides utility
 functions for smoothing over the differences between the Python versions
 with the goal of writing Python code that is compatible on both Python
 versions.
 .
 This package provides Six on the PyPy module path. It is complemented
 by python-six and python3-six.

Package: python-click
Version: 6.6-1~nd16.04+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~nd16.04+1_all.deb
Size: 56088
SHA256: 8dbc2f7d83fba1a437e4994369a3cdec2731e30b4de83b946abb57a5919aa8fe
SHA1: f57be90c0bd4e0725b96ad25cb2c86e437b2b156
MD5sum: 9d9ea017b2cf4674ee2df5dfe4617743
Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7
 Click is a Python package for creating beautiful command line interfaces
 in a composable way with as little code as necessary.  It's the "Command
 Line Interface Creation Kit".  It's highly configurable but comes with
 sensible defaults out of the box.
 .
 It aims to make the process of writing command line tools quick and fun
 while also preventing any frustration caused by the inability to implement
 an intended CLI API.
 .
 This is the Python 2 compatible package.

Package: python-datalad
Source: datalad
Version: 0.9.1-1~nd16.04+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-pygithub, 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~nd16.04+1_all.deb
Size: 743314
SHA256: a0e0b6c0b0345f118c17404c630648e8d4d045cb7fc4bcd5955ef12a2d0a058e
SHA1: d3cbd6a3e5426560b4758073c2bfc474285cc875
MD5sum: ca9871a04610527be51b08c53e576527
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-deprecation
Version: 1.0.1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 34
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Homepage: https://github.com/briancurtin/deprecation
Priority: optional
Section: python
Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd16.04+1_all.deb
Size: 8514
SHA256: 533809c12c01b5986512d84309b9dcfeec32aab1050c6881b7d1ee5c7c42b390
SHA1: eb558ba35152aae8a02d39eab361a38921fa1bf4
MD5sum: 9f0a1abc412cc817bfc33cfabf8b644b
Description: Library to handle automated deprecations - Python 2.x
 Deprecation is a library that enables automated deprecations.
 .
 It offers the deprecated() decorator to wrap functions, providing proper
 warnings both in documentation and via Python’s warnings system, as well as
 the deprecation.fail_if_not_removed() decorator for test methods to ensure
 that deprecated code is eventually removed.
 .
 This package contains the Python 2.x module.

Package: python-dipy
Source: dipy
Version: 0.12.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 6926
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.12.0-1~nd16.04+1)
Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables
Suggests: ipython
Provides: python2.7-dipy
Homepage: http://dipy.org
Priority: extra
Section: python
Filename: pool/main/d/dipy/python-dipy_0.12.0-1~nd16.04+1_all.deb
Size: 3019600
SHA256: 37582de0ab2094ec94f9f2422d805259eff4b038b9d92d78d498e27493d0dedb
SHA1: 385aa2f1b34f6fa45962a396814ad1f9b4c6e05d
MD5sum: 519ef78f80c4d03e85ef664e1b86f192
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: 0.12.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 14106
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_0.12.0-1~nd16.04+1_all.deb
Size: 10507060
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SHA1: 8e6362f2d7c70d33b43476f8ace3c9be491a7a18
MD5sum: e7555c627a7a23b4bbe8a067e1a31019
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-fsl
Source: fslpy
Version: 1.2.2-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 404
Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: python-wxgtk3.0
Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1)
Provides: python2.7-fsl
Priority: optional
Section: python
Filename: pool/main/f/fslpy/python-fsl_1.2.2-1~nd16.04+1_all.deb
Size: 84224
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MD5sum: 47dbdba99774bc867cbcb95fc8bf02e8
Description: FSL Python library
 Support library for FSL.
 .
 This package provides the Python 2 module.

Package: python-fsleyes-props
Source: fsleyes-props
Version: 1.2.1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 404
Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Conflicts: python-props (<= 1.0~)
Replaces: python-props
Provides: python-props, python2.7-fsleyes-props
Priority: optional
Section: python
Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-1~nd16.04+1_all.deb
Size: 75340
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MD5sum: ddef6f23fe9eed13067a8c12901651ee
Description: Python descriptor framework
 Event programming framework with the ability for automatic CLI generation,
 and automatic GUI generation (with wxPython).
 .
 This package provides the Python 2 module.

Package: python-fsleyes-widgets
Source: fsleyes-widgets
Version: 0.1.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 370
Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-fsleyes-widgets
Priority: optional
Section: python
Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.1.0-1~nd16.04+1_all.deb
Size: 68020
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MD5sum: 9d989ed077daebce2c5c6b9197819c6a
Description: Python descriptor framework
 A collection of GUI widgets and utilities, based on wxPython.
 .
 This package provides the Python 2 module.

Package: python-git
Version: 2.1.6-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1635
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_2.1.6-1~nd16.04+1_all.deb
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SHA1: 2cb9ebb3d64701afc2954b8fb43cb9e0b11e8811
MD5sum: 5de176f7379ac5a1525e38108908f32f
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: 2.1.6-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 980
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_2.1.6-1~nd16.04+1_all.deb
Size: 126330
SHA256: e30a72a84e951674da919a41ec2c5638d2617ec8e681e2b02b5633ca6e43cf4a
SHA1: 0bb7aa91540489c38f1555761fa5bf9cc0bbc687
MD5sum: 2607b085d1f23fea0cfcc24e4de5ec2a
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-mvpa2
Source: pymvpa2
Version: 2.6.1-2~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 8560
Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.1-2~nd16.04+1)
Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock
Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2
Provides: python2.7-mvpa2
Homepage: http://www.pymvpa.org
Priority: optional
Section: python
Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.1-2~nd16.04+1_all.deb
Size: 5100660
SHA256: f089539d3f343b102b30e857237bc208bcef56eb446163b3347a10f30d52f298
SHA1: 4583494f937ad3bdc97c0de0a14a3e28529bb7f6
MD5sum: 52e95f77d8963115e16053511babfece
Description: multivariate pattern analysis with Python v. 2
 PyMVPA eases pattern classification analyses of large datasets, with an
 accent on neuroimaging. It provides high-level abstraction of typical
 processing steps (e.g. data preparation, classification, feature selection,
 generalization testing), a number of implementations of some popular
 algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic
 Regression), and bindings to external machine learning libraries (libsvm,
 shogun).
 .
 While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
 is eminently suited for such datasets.
 .
 This is a package of PyMVPA v.2.  Previously released stable version
 is provided by the python-mvpa package.
Python-Version: 2.7

Package: python-mvpa2-doc
Source: pymvpa2
Version: 2.6.1-2~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 36238
Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore
Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook
Homepage: http://www.pymvpa.org
Priority: optional
Section: doc
Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.1-2~nd16.04+1_all.deb
Size: 4648020
SHA256: bf46a498b88e431e083b66e3107d979c4e5091bc4e44e6e7ff9a14b10e4b890b
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MD5sum: 79896f1bb2768bc3b7cfe815fbedf6d2
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: 2.2.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 64679
Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), 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_2.2.0-1~nd16.04+1_all.deb
Size: 2201944
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SHA1: 778fe5945fc19a57295f6e40c2f717b64138bebd
MD5sum: e64dc8495b4d67d5c9547417df80eab9
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: 2.2.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 20650
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_2.2.0-1~nd16.04+1_all.deb
Size: 3061114
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SHA1: c3fffc45f84ab475b17e55132f10fec3e678adb6
MD5sum: de102bbe53a4c118e463ed3c149db144
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: 0.4.1-1~nd16.04+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-scipy, python-nibabel, python-nipy-lib (>= 0.4.1-1~nd16.04+1)
Recommends: python-matplotlib, mayavi2, python-sympy
Suggests: python-mvpa
Provides: python2.7-nipy
Homepage: http://neuroimaging.scipy.org
Priority: extra
Section: python
Filename: pool/main/n/nipy/python-nipy_0.4.1-1~nd16.04+1_all.deb
Size: 781470
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SHA1: 49ddb079f28d33163d83b84f438e1b6d71f59ea8
MD5sum: bc7ceb7f5fc4d49c39910264c8f217c0
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: 0.4.1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 10732
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_0.4.1-1~nd16.04+1_all.deb
Size: 2629682
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MD5sum: 748e2f23df7737789c6552468c6c40c7
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-opengl
Source: pyopengl
Version: 3.1.0+dfsg-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 5289
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-ctypes, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, freeglut3
Suggests: python-tk, python-numpy, libgle3
Homepage: http://pyopengl.sourceforge.net
Priority: optional
Section: python
Filename: pool/main/p/pyopengl/python-opengl_3.1.0+dfsg-1~nd16.04+1_all.deb
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MD5sum: 6d3d2268519ba7f557ba1fa1584dd9a0
Description: Python bindings to OpenGL (Python 2)
 PyOpenGL is a cross-platform open source Python binding to the standard
 OpenGL API providing 2D and 3D graphic drawing. PyOpenGL supports the
 GL, GLU, GLE, and GLUT libraries. The library can be used with the Tkinter,
 wxPython, FxPy, and Win32GUI windowing libraries (or almost any Python
 windowing library which can provide an OpenGL context).
 .
 This is the Python 2 version of the package.

Package: python-pprocess
Source: pprocess
Version: 0.5-2~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <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~nd16.04+1_all.deb
Size: 83788
SHA256: 259c9557b6779afe5e30bf55c78aec59c98f3ef76f69ddede48dc801ac23fb43
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MD5sum: 70a87e18f8de21a567685badd18d2b2d
Description: elementary parallel programming for Python
 The pprocess module provides elementary support for parallel programming in
 Python using a fork-based process creation model in conjunction with a
 channel-based communications model implemented using socketpair and poll. On
 systems with multiple CPUs or multicore CPUs, processes should take advantage
 of as many CPUs or cores as the operating system permits.

Package: python-props
Source: props
Version: 0.10.1-1~nd16.04+1
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Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 651
Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-props
Priority: optional
Section: python
Filename: pool/main/p/props/python-props_0.10.1-1~nd16.04+1_all.deb
Size: 117640
SHA256: cb58c06763b1e763bfbdd1b04229f28b1e95757eb762ba26fd58c5b32805592e
SHA1: 635cd8386e5cc0ab283ae447bedfe816ee30e0ad
MD5sum: 0496927a902b3f920142edcd38033201
Description: Python descriptor framework
 Event programming framework with the ability for automatic CLI generation,
 and automatic GUI generation (with wxPython).
 .
 This package provides the Python 2 module.

Package: python-pydotplus
Version: 2.0.2-2~nd16.04+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~nd16.04+1_all.deb
Size: 20380
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MD5sum: e1ff9119f7ae7fba92f3bea83f89dca1
Description: interface to Graphviz's Dot language - Python 2.7
 PyDotPlus is an improved version of the old pydot project that provides a
 Python Interface to Graphviz's Dot language.
 .
 Differences with pydot:
  * Compatible with PyParsing 2.0+.
  * Python 2.7 - Python 3 compatible.
  * Well documented.
  * CI Tested.
 .
 This package contains the Python 2.7 module.

Package: python-pydotplus-doc
Source: python-pydotplus
Version: 2.0.2-2~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 525
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common
Homepage: http://pydotplus.readthedocs.org/
Priority: optional
Section: doc
Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd16.04+1_all.deb
Size: 46822
SHA256: 80ee04b3206e1e638271ad5b870381128b38b12aa995c7d9237e4b38f672877b
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MD5sum: 31848087f24154136a4c430e3106e491
Description: interface to Graphviz's Dot language - doc
 PyDotPlus is an improved version of the old pydot project that provides a
 Python Interface to Graphviz's Dot language.
 .
 Differences with pydot:
  * Compatible with PyParsing 2.0+.
  * Python 2.7 - Python 3 compatible.
  * Well documented.
  * CI Tested.
 .
 This package contains the documentation.

Package: python-pyglet
Source: pyglet
Version: 1.3.0~rc1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 5414
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-ctypes | python (>= 2.5), libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa
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~rc1-1~nd16.04+1_all.deb
Size: 1124270
SHA256: 8255c905daf70d3107acab04cd8a7f54cec31888cedbef2e851863412908285d
SHA1: b60a711b5846c46d3c0ef37a976850adafad4ac3
MD5sum: 39a0f8c4f6f30757e9192c960d5352d5
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-pytest-runner
Source: pytest-runner
Version: 2.7.1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 31
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Homepage: https://github.com/pytest-dev/pytest-runner
Priority: optional
Section: python
Filename: pool/main/p/pytest-runner/python-pytest-runner_2.7.1-1~nd16.04+1_all.deb
Size: 6122
SHA256: e32cbbf3bfb304bbc9c6a901571198457ff968fe74650c9d97a25b9b969dc6a7
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MD5sum: 1e5ed45580cfbf12d31130fb71e84b67
Description: Invoke py.test as distutils command with dependency resolution
 Setup scripts can use pytest-runner to add setup.py test support for pytest
 runner.
 .
 This package contains the Python 2 module.

Package: python-scikits-learn
Source: scikit-learn
Version: 0.19.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 93
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_0.19.0-1~nd16.04+1_all.deb
Size: 83678
SHA256: c3360b4e17e2eb084f89a8dd6da890038469c0dde1422e6122ffd41fdd0a9238
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MD5sum: e5c816d4f7d7b4cdbed259d99b827cd1
Description: transitional compatibility package for scikits.learn -> sklearn migration
 Provides old namespace (scikits.learn) and could be removed if
 dependent code migrated to use sklearn for clarity of the namespace.

Package: python-six
Source: six
Version: 1.10.0-3~bpo8+1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <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~nd16.04+1_all.deb
Size: 11738
SHA256: a16ef0744fa9490e2476f1744dcf0cba5a143f14f68cb4cdb64e7749bb0bb2aa
SHA1: bfe91fb94d1d1bf0e3375ec11613cac158c49b13
MD5sum: 468a2063df5cea55065b488ba520cbca
Description: Python 2 and 3 compatibility library (Python 2 interface)
 Six is a Python 2 and 3 compatibility library. It provides utility
 functions for smoothing over the differences between the Python versions
 with the goal of writing Python code that is compatible on both Python
 versions.
 .
 This package provides Six on the Python 2 module path. It is complemented
 by python3-six and pypy-six.

Package: python-sklearn
Source: scikit-learn
Version: 0.19.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 6995
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.0-1~nd16.04+1), python-joblib (>= 0.9.2)
Recommends: python-nose, python-pytest, python-matplotlib
Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython
Enhances: python-mdp, python-mvpa2
Breaks: python-scikits-learn (<< 0.9~)
Replaces: python-scikits-learn (<< 0.9~)
Provides: python2.7-sklearn
Homepage: http://scikit-learn.sourceforge.net
Priority: optional
Section: python
Filename: pool/main/s/scikit-learn/python-sklearn_0.19.0-1~nd16.04+1_all.deb
Size: 1450060
SHA256: c172dfe7e176cd7da4b65ac1f7f8cac95d361a916791f4541be4cbdec65d1c59
SHA1: 8689ede1f31234a9aa3257f77e173dfb9972a683
MD5sum: 57520eee7d43b453f81a092b41e59e2b
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: 0.19.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 32862
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_0.19.0-1~nd16.04+1_all.deb
Size: 5262564
SHA256: 289acddb1ee1cfde93a3bacd947c25ac05a230403943f45b5e0e030cbaf9a48e
SHA1: e85c3bcb1f0de47ec966e7a1011b26ea0abaa31b
MD5sum: e9f111520f8fe598ed796329fefbe8ff
Description: documentation and examples for scikit-learn
 This package contains documentation and example scripts for
 python-sklearn.

Package: python-sparqlwrapper
Source: sparql-wrapper-python
Version: 1.7.6-3~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <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~nd16.04+1_all.deb
Size: 22216
SHA256: ad338cb0ae4f323328124cc0ca75e8822622784570375fe07a2fa7686a26b2b6
SHA1: ca5fdf127bd16ad4a221f1e1bcdd9b772900d65b
MD5sum: d074d7f980f64501cf433356823d0482
Description: SPARQL endpoint interface to Python
 This is a wrapper around a SPARQL service. It helps in
 creating the query URI and, possibly, convert the
 result into a more manageable format.
 .
 This is the Python 2 version of the package.

Package: python-whoosh
Version: 2.7.4+git6-g9134ad92-1~nd16.04+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~nd16.04+1_all.deb
Size: 290732
SHA256: 92a0eff9fdbfe4291844dee3e6df991f8cadf8d7f68390e6a786313f5a3c8989
SHA1: 88ad692740ab3d4e9b9aad304fb0cd2f88e11535
MD5sum: 170a5563e901639348a65d7259b85b66
Description: pure-Python full-text indexing, search, and spell checking library (Python 2)
 Whoosh is a fast, pure-Python indexing and search library. Programmers
 can use it to easily add search functionality to their applications and
 websites. As Whoosh is pure Python, you don't have to compile or
 install a binary support library and/or make Python work with a JVM, yet
 indexing and searching is still very fast. Whoosh is designed to be
 modular, so every part can be extended or replaced to meet your needs
 exactly.
 .
 This package contains the python2 library

Package: python-whoosh-doc
Source: python-whoosh
Version: 2.7.4+git6-g9134ad92-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 2191
Pre-Depends: dpkg (>= 1.17.14)
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Replaces: python-whoosh (<< 2.1.0)
Homepage: http://bitbucket.org/mchaput/whoosh/
Priority: extra
Section: doc
Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd16.04+1_all.deb
Size: 241712
SHA256: 12cb58145bf1ba52365ea308a7b0bb46a8af3daec44854cd63d9b711a33fbe7b
SHA1: 59ddf9d1da701463188f7758ae1fd38ffcad4181
MD5sum: 885d8520f29c0118144c74e090dfd792
Description: full-text indexing, search, and spell checking library (doc)
 Whoosh is a fast, pure-Python indexing and search library. Programmers
 can use it to easily add search functionality to their applications and
 websites. As Whoosh is pure Python, you don't have to compile or
 install a binary support library and/or make Python work with a JVM, yet
 indexing and searching is still very fast. Whoosh is designed to be
 modular, so every part can be extended or replaced to meet your needs
 exactly.
 .
 This package contains the library documentation for python-whoosh.

Package: python-wrapt-doc
Source: python-wrapt
Version: 1.9.0-4~nd0~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 439
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common
Homepage: https://github.com/GrahamDumpleton/wrapt
Priority: optional
Section: doc
Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd16.04+1_all.deb
Size: 51402
SHA256: e707a7be420ef988e9faecf26c18534cf3d9e7a38ac0aea5a4553e47868045aa
SHA1: ff328304d41bd1a2e74ca45a5ff9ff8c0f5a3d20
MD5sum: 6db6b288710374dc0d4ed655d4d3ff11
Description: decorators, wrappers and monkey patching. - doc
 The aim of the wrapt module is to provide a transparent object proxy for
 Python, which can be used as the basis for the construction of function
 wrappers and decorator functions.
 .
 The wrapt module focuses very much on correctness. It therefore goes way
 beyond existing mechanisms such as functools.wraps() to ensure that decorators
 preserve introspectability, signatures, type checking abilities etc. The
 decorators that can be constructed using this module will work in far more
 scenarios than typical decorators and provide more predictable and consistent
 behaviour.
 .
 To ensure that the overhead is as minimal as possible, a C extension module is
 used for performance critical components. An automatic fallback to a pure
 Python implementation is also provided where a target system does not have a
 compiler to allow the C extension to be compiled.
 .
 This package contains the documentation.

Package: python3-click
Source: python-click
Version: 6.6-1~nd16.04+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~nd16.04+1_all.deb
Size: 56188
SHA256: cab0774b5e1413895b98a43ddb9aae5501b7d16cdbd4920e32364e920e6ce317
SHA1: 6ce3f2b88b4cdaeb7215da4bc6bdf6a6c44310c4
MD5sum: b10ccf20cad45fd576a95f98d438079f
Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x
 Click is a Python package for creating beautiful command line interfaces
 in a composable way with as little code as necessary.  It's the "Command
 Line Interface Creation Kit".  It's highly configurable but comes with
 sensible defaults out of the box.
 .
 It aims to make the process of writing command line tools quick and fun
 while also preventing any frustration caused by the inability to implement
 an intended CLI API.
 .
 This is the Python 3 compatible package.

Package: python3-deprecation
Source: python-deprecation
Version: 1.0.1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 34
Depends: neurodebian-popularity-contest, python3:any (>= 3.4~)
Homepage: https://github.com/briancurtin/deprecation
Priority: optional
Section: python
Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd16.04+1_all.deb
Size: 8596
SHA256: 7c4ce0e2a898f02430b72da190b1a1f2e974ee85d02e47e0d623dffb2c4a957e
SHA1: aac1d0abc0b0d6efec934783cf40a591ab5a3678
MD5sum: 9ce1d906c604b7f6969d2faa5f47f07e
Description: Library to handle automated deprecations - Python 3.x
 Deprecation is a library that enables automated deprecations.
 .
 It offers the deprecated() decorator to wrap functions, providing proper
 warnings both in documentation and via Python’s warnings system, as well as
 the deprecation.fail_if_not_removed() decorator for test methods to ensure
 that deprecated code is eventually removed.
 .
 This package contains the Python 3.x module.

Package: python3-fsl
Source: fslpy
Version: 1.2.2-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 404
Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-indexed-gzip, python3-numpy, python3:any (>= 3.3.2-2~)
Priority: optional
Section: python
Filename: pool/main/f/fslpy/python3-fsl_1.2.2-1~nd16.04+1_all.deb
Size: 84240
SHA256: a7167205a5ca6eb8874f5e6ed7bcb713825e2d06beabf56708a89b4d61a6f9b4
SHA1: 271459c9da5ee1eb42e54bce3b7cc7d8289dd60f
MD5sum: 0a70d9bdde20e949509218a421c56118
Description: FSL Python library
 Support library for FSL.
 .
 This package provides the Python 3 module.

Package: python3-git
Source: python-git
Version: 2.1.6-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1632
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_2.1.6-1~nd16.04+1_all.deb
Size: 301030
SHA256: ca2a4419b153ca27a2b18f0434712a465f5e08a6ad7969b61dbb63008d46d5c2
SHA1: 61091aef5480edffb83ba47db8e7962415f4146f
MD5sum: 6f5dfa56b05fd95112191296eb58f54c
Description: Python library to interact with Git repositories - Python 3.x
 python-git provides object model access to a Git repository, so Python can be
 used to manipulate it. Repository objects can be opened or created, which can
 then be traversed to find parent commit(s), trees, blobs, etc.
 .
 This package provides the Python 3.x module.

Package: python3-git-annex-adapter
Source: git-annex-adapter
Version: 0.0.0~pre1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 33
Depends: neurodebian-popularity-contest, git-annex (>= 6.20160726~) | git-annex-standalone (>= 6.20160726~), python3:any (>= 3.3.2-2~)
Homepage: https://github.com/alpernebbi/git-annex-adapter
Priority: optional
Section: python
Filename: pool/main/g/git-annex-adapter/python3-git-annex-adapter_0.0.0~pre1-1~nd16.04+1_all.deb
Size: 6812
SHA256: 1e263dca528e4bc3acc21ff5dbc30e5a42e8dad2c24cd6367c6005a02ff2f51f
SHA1: cdb7531fe99462f3ee622889e496f7ef3088f98f
MD5sum: 00c952ca16a9f427762477c0fde1eab4
Description: call git-annex commands from within Python
 This is a minimalistic interface to git-annex. Commands are executed using
 subprocess and use their batch versions whenever possible.

Package: python3-nibabel
Source: nibabel
Version: 2.2.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 64651
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_2.2.0-1~nd16.04+1_all.deb
Size: 2194026
SHA256: 971edd3d529c384ca10c143f6b3a197d4e9100cc28d20814f40589fc8b2acde8
SHA1: 05651fd11889fa8fd99a31fcc4fccaffacdf4ef2
MD5sum: e183e3269b8a6e2008758c1690a35ca8
Description: Python3 bindings to various neuroimaging data formats
 NiBabel provides read and write access to some common medical and
 neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI,
 NIfTI1, MINC, as well as PAR/REC. The various image format classes give full
 or selective access to header (meta) information and access to the image data
 is made available via NumPy arrays.  NiBabel is the successor of PyNIfTI.

Package: python3-opengl
Source: pyopengl
Version: 3.1.0+dfsg-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 5289
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, freeglut3
Suggests: python3-tk, python3-numpy, libgle3
Homepage: http://pyopengl.sourceforge.net
Priority: optional
Section: python
Filename: pool/main/p/pyopengl/python3-opengl_3.1.0+dfsg-1~nd16.04+1_all.deb
Size: 502442
SHA256: 70d36f1d4930e6b529dc5e338a93b80c397b5c2e18702b7aaeb652473865c9c3
SHA1: 04fcb1dfc2af7e36e299d3367512cea231f9ab32
MD5sum: 152c0535f97dee9f6fac13ab6ff1487d
Description: Python bindings to OpenGL (Python 3)
 PyOpenGL is a cross-platform open source Python binding to the standard
 OpenGL API providing 2D and 3D graphic drawing. PyOpenGL supports the
 GL, GLU, GLE, and GLUT libraries. The library can be used with the Tkinter,
 wxPython, FxPy, and Win32GUI windowing libraries (or almost any Python
 windowing library which can provide an OpenGL context).
 .
 This is the Python 3 version of the package.

Package: python3-pydotplus
Source: python-pydotplus
Version: 2.0.2-2~nd16.04+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~nd16.04+1_all.deb
Size: 20456
SHA256: 42d5c7c970226e81b0f17ae4652ff648d7383cf9e8808de91edf38e7cf2757fb
SHA1: ab2277f582dc53d8671d48f1a223e9c5b5e58912
MD5sum: 641530aaadacf9937216ef63e4f45625
Description: interface to Graphviz's Dot language - Python 3.x
 PyDotPlus is an improved version of the old pydot project that provides a
 Python Interface to Graphviz's Dot language.
 .
 Differences with pydot:
  * Compatible with PyParsing 2.0+.
  * Python 2.7 - Python 3 compatible.
  * Well documented.
  * CI Tested.
 .
 This package contains the Python 3.x module.

Package: python3-pytest-runner
Source: pytest-runner
Version: 2.7.1-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 28
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/pytest-dev/pytest-runner
Priority: optional
Section: python
Filename: pool/main/p/pytest-runner/python3-pytest-runner_2.7.1-1~nd16.04+1_all.deb
Size: 6138
SHA256: c0d765fdbc263503b35ddaf7b5542aa5d96478d9454452d5562da8153342fc98
SHA1: f336e89023459de8693b4a12cfb7203559adc7c0
MD5sum: 761f7237281476ff3a8c53174cec36dd
Description: Invoke py.test as distutils command with dependency resolution
 Setup scripts can use pytest-runner to add setup.py test support for pytest
 runner.
 .
 This package contains the Python 3 module.

Package: python3-six
Source: six
Version: 1.10.0-3~bpo8+1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <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~nd16.04+1_all.deb
Size: 11806
SHA256: da2c97c0ec6c668ab58dca583dc734673a2080d8ab71f6332b39bb4158ea31bd
SHA1: e37946ce2c3203629370872514a485b92009df80
MD5sum: 1eecca62d1b45557f19e4e7ca8ceb295
Description: Python 2 and 3 compatibility library (Python 3 interface)
 Six is a Python 2 and 3 compatibility library. It provides utility
 functions for smoothing over the differences between the Python versions
 with the goal of writing Python code that is compatible on both Python
 versions.
 .
 This package provides Six on the Python 3 module path. It is complemented
 by python-six and pypy-six.

Package: python3-sklearn
Source: scikit-learn
Version: 0.19.0-1~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 6994
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.0-1~nd16.04+1), python3-joblib (>= 0.9.2)
Recommends: python3-nose, python-pytest, python3-matplotlib
Suggests: python3-dap, python-sklearn-doc, ipython3
Enhances: python3-mdp, python3-mvpa2
Homepage: http://scikit-learn.sourceforge.net
Priority: optional
Section: python
Filename: pool/main/s/scikit-learn/python3-sklearn_0.19.0-1~nd16.04+1_all.deb
Size: 1449806
SHA256: dc59b6251bab62a74e0e965cdbd7db69079bef9bcfdc1d388068b2da3932d465
SHA1: 2aca43381d24b1ef3be00688d52a03af4b1eee56
MD5sum: edf6f6978c6fa00bdf9a9f75af32d53e
Description: Python modules for machine learning and data mining
 scikit-learn is a collection of Python modules relevant to
 machine/statistical learning and data mining.  Non-exhaustive list of
 included functionality:
  - Gaussian Mixture Models
  - Manifold learning
  - kNN
  - SVM (via LIBSVM)
 .
 This package contains the Python 3 version.

Package: python3-sparqlwrapper
Source: sparql-wrapper-python
Version: 1.7.6-3~nd16.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <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~nd16.04+1_all.deb
Size: 20736
SHA256: 00f1f4dccddb10c7dc20864c2c1f3d1dd5d28e4f8a6688d64d0369c660546a81
SHA1: 7cee8efdc2c8913ab01e21b747340d64bc510998
MD5sum: 7fccb9cc5ce739fda709fe4a13a62dbb
Description: SPARQL endpoint interface to Python3
 This is a wrapper around a SPARQL service. It helps in
 creating the query URI and, possibly, convert the
 result into a more manageable format.
 .
 This is the Python 3 version of the package.

Package: python3-whoosh
Source: python-whoosh
Version: 2.7.4+git6-g9134ad92-1~nd16.04+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~nd16.04+1_all.deb
Size: 290836
SHA256: cc05e669b1140db18ec728f1d3660733d90e5169fe036d0a383b7b2e9dfbb844
SHA1: 64faab26c358bac01ecf9851b4106ec0b8fbf220
MD5sum: 3656d0b3d443816dd647213af474dd04
Description: pure-Python full-text indexing, search, and spell checking library (Python 3)
 Whoosh is a fast, pure-Python indexing and search library. Programmers
 can use it to easily add search functionality to their applications and
 websites. As Whoosh is pure Python, you don't have to compile or
 install a binary support library and/or make Python work with a JVM, yet
 indexing and searching is still very fast. Whoosh is designed to be
 modular, so every part can be extended or replaced to meet your needs
 exactly.
 .
 This package contains the python3 library