Package: datalad Version: 0.8.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.8.0-1~nd16.04+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.8.0-1~nd16.04+1_all.deb Size: 67664 SHA256: beb7665c49c767429cb5927fb919796403312dabfb5bbdd5bb20217135f930ab SHA1: 26b69ffc5dad258428a358279cb51304a2a10297 MD5sum: 0f9bee00b76eaff70b7a06c8c9a934ef 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 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: 0.10.1-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 119988 Depends: neurodebian-popularity-contest, python-fsl, python-props, python-wxgtk3.0, python-six, python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.10.1-2~nd16.04+1_all.deb Size: 13080378 SHA256: 9a0a8443b72288773127a42de703b41fd54e55da118c455ef74fdf35e99efe3c SHA1: 20c58a18264ddb07773e0a2e0161a304a1c2cca2 MD5sum: f8c4bc29a4acbedb874ec27eb258706b Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: git-annex-metadata-gui Version: 0.0.0~pre1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 60 Depends: neurodebian-popularity-contest, python3-git-annex-adapter, python3-pyqt5, python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-metadata-gui Priority: optional Section: python Filename: pool/main/g/git-annex-metadata-gui/git-annex-metadata-gui_0.0.0~pre1-1~nd16.04+1_all.deb Size: 10326 SHA256: 84eae851a9a3219b0ed7e22c062b2c05f6fd614b11748324e085f8f96b0a76ef SHA1: 8aed7cf7c1092d4fe898927457e13bdc512a9176 MD5sum: 36389572dc0866a39d5897d8d1b275d3 Description: graphical interface to the metadata functionality of git-annex Flexible graphical user interface to view and manipulate metadata of git-annex repositories. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.36-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team 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 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: 0.5.27+ds-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3568 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_0.5.27+ds-1~nd16.04+1_all.deb Size: 702520 SHA256: 742ebc282de7535a74e7d787fd0e107da41b0e7881d9c40cafafb2643b8084a2 SHA1: 7fb0dd9ef3f84d2d367163d9ceaa0576ee5fb18b MD5sum: 940943a9bb929b8ba71132a49555e0b3 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: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.14.20170611.dfsg1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers 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: python-click Version: 6.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd16.04+1_all.deb Size: 56088 SHA256: 8dbc2f7d83fba1a437e4994369a3cdec2731e30b4de83b946abb57a5919aa8fe SHA1: f57be90c0bd4e0725b96ad25cb2c86e437b2b156 MD5sum: 9d9ea017b2cf4674ee2df5dfe4617743 Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7 Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 2 compatible package. Package: python-datalad Source: datalad Version: 0.8.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3700 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160808~) | git-annex-standalone (>= 6.20160808~), patool, python-appdirs, python-git (>= 2.1~), 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_0.8.0-1~nd16.04+1_all.deb Size: 718764 SHA256: a02d93f8620e1dde07fd4da9d8e17630a55a24cd2034dd75a4a939e3f3c14001 SHA1: 7094a77953f014dc86ee49f4f352a2d98087954f MD5sum: 65b08e23c660453522798e598b9d1c0e 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-dipy Source: dipy Version: 0.12.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers 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 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 SHA256: 38635a4f7523bfb2b54a44935949b1399ae96bb91a6d5e332ee729c7381e1f89 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: 0.11.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 467 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-indexed-gzip, python-matplotlib, python-numpy, python-six (>= 1.10.0), 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_0.11.0-1~nd16.04+1_all.deb Size: 96802 SHA256: 9d0dc46c855c2ab828feca334bd12560c9092622e4f5491779a4c54323bde32e SHA1: f14a921c9f71a5b8f61ca3608c34d34c9be6f48c MD5sum: 4b1169619f1f77565002c1f642c8344a Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-git Version: 2.1.3-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1629 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_2.1.3-1~nd16.04+1_all.deb Size: 300458 SHA256: c9323cb6fc035b2eb6fbac4ddaea4ebc90c983dd408cb8ef015bb2ccc0ecf673 SHA1: af6dbe1121a8063a81ad756915c906900bd4a53d MD5sum: dfc0a3d83e4eb3a3f7c62876ff5a3513 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: 2.1.3-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 979 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_2.1.3-1~nd16.04+1_all.deb Size: 126168 SHA256: 3759ef70d91c2a9a89b9de6dc98ef0000f86046021b14df489df8e77b42cbc53 SHA1: c3f5c062fb7f519106c5871d0f3ff77122cd820b MD5sum: d5b2fc3e86a3b2302f083d7b02ebb53e 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: 2.6.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8560 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-mvpa2-lib (>= 2.6.1-1~nd16.04+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.1-1~nd16.04+1_all.deb Size: 5101034 SHA256: 18927a3db579dcc461e507705b152cc183d57e595a4b405560a784a1baa28378 SHA1: a7b1abb6a0a907f8e8510ec1a72a6ef210fc0892 MD5sum: 205f79a00fd5c7898f4001e9f65ad675 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: 2.6.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36253 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_2.6.1-1~nd16.04+1_all.deb Size: 4648838 SHA256: 70e1af36e47816135b87bb22080a204ff1399f6557b4ee0fdcbe2ebc64f7b2d0 SHA1: e1794ad10ee26b1dc1544e9a7875818016b6917c MD5sum: 324b15487e159732a0a8d623356e4eee 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-nipy Source: nipy Version: 0.4.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers 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 SHA256: 33d2482335b24f2d7011e778dcd02d55fdae909063434d5ffe8083e11a70743a 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 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 SHA256: 3a0f0cc4036630a705f075663548767f72e30366e01df9d00525ccbe6bcbdaa2 SHA1: 59ea62c2b3928698e65bc0ba3549f235c3c8d1d7 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 Installed-Size: 5289 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-ctypes, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, freeglut3 Suggests: python-tk, python-numpy, libgle3 Homepage: http://pyopengl.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pyopengl/python-opengl_3.1.0+dfsg-1~nd16.04+1_all.deb Size: 502206 SHA256: c6f1c589672c7853ad0315795a69f847ff136d7f62bf0d193fd5a15700fa613c SHA1: fdb313a3f7f8856deb626df2e2a8138a19616ca2 MD5sum: 6d3d2268519ba7f557ba1fa1584dd9a0 Description: Python bindings to OpenGL (Python 2) PyOpenGL is a cross-platform open source Python binding to the standard OpenGL API providing 2D and 3D graphic drawing. PyOpenGL supports the GL, GLU, GLE, and GLUT libraries. The library can be used with the Tkinter, wxPython, FxPy, and Win32GUI windowing libraries (or almost any Python windowing library which can provide an OpenGL context). . This is the Python 2 version of the package. Package: python-props Source: props Version: 0.10.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd16.04+1_all.deb Size: 117640 SHA256: cb58c06763b1e763bfbdd1b04229f28b1e95757eb762ba26fd58c5b32805592e SHA1: 635cd8386e5cc0ab283ae447bedfe816ee30e0ad MD5sum: 0496927a902b3f920142edcd38033201 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-pydotplus Version: 2.0.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd16.04+1_all.deb Size: 20380 SHA256: 39b27d471418f9c81855a45f723d39844052c83c40a1ff1806f2f54989a74216 SHA1: 6067dfa2d60382ae0aeeb5f41423cef6de4b4e18 MD5sum: e1ff9119f7ae7fba92f3bea83f89dca1 Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 525 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd16.04+1_all.deb Size: 46822 SHA256: 80ee04b3206e1e638271ad5b870381128b38b12aa995c7d9237e4b38f672877b SHA1: 1680d00bc567d8e115bb693994cbad1f516aa426 MD5sum: 31848087f24154136a4c430e3106e491 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pytest-runner Source: pytest-runner Version: 2.7.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 31 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pytest-dev/pytest-runner Priority: optional Section: python Filename: pool/main/p/pytest-runner/python-pytest-runner_2.7.1-1~nd16.04+1_all.deb Size: 6122 SHA256: e32cbbf3bfb304bbc9c6a901571198457ff968fe74650c9d97a25b9b969dc6a7 SHA1: 60c152dafcd3f7e359e2e038625702c9a6d370c4 MD5sum: 1e5ed45580cfbf12d31130fb71e84b67 Description: Invoke py.test as distutils command with dependency resolution Setup scripts can use pytest-runner to add setup.py test support for pytest runner. . This package contains the Python 2 module. Package: python-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-rdflib, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd16.04+1_all.deb Size: 22216 SHA256: ad338cb0ae4f323328124cc0ca75e8822622784570375fe07a2fa7686a26b2b6 SHA1: ca5fdf127bd16ad4a221f1e1bcdd9b772900d65b MD5sum: d074d7f980f64501cf433356823d0482 Description: SPARQL endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 2 version of the package. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd16.04+1_all.deb Size: 290732 SHA256: 92a0eff9fdbfe4291844dee3e6df991f8cadf8d7f68390e6a786313f5a3c8989 SHA1: 88ad692740ab3d4e9b9aad304fb0cd2f88e11535 MD5sum: 170a5563e901639348a65d7259b85b66 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2191 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd16.04+1_all.deb Size: 241712 SHA256: 12cb58145bf1ba52365ea308a7b0bb46a8af3daec44854cd63d9b711a33fbe7b SHA1: 59ddf9d1da701463188f7758ae1fd38ffcad4181 MD5sum: 885d8520f29c0118144c74e090dfd792 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python3-click Source: python-click Version: 6.6-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python3-click_6.6-1~nd16.04+1_all.deb Size: 56188 SHA256: cab0774b5e1413895b98a43ddb9aae5501b7d16cdbd4920e32364e920e6ce317 SHA1: 6ce3f2b88b4cdaeb7215da4bc6bdf6a6c44310c4 MD5sum: b10ccf20cad45fd576a95f98d438079f Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 3 compatible package. Package: python3-fsl Source: fslpy Version: 0.11.0-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 464 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-indexed-gzip, python3-matplotlib, python3-numpy, python3-six (>= 1.10.0), python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_0.11.0-1~nd16.04+1_all.deb Size: 96574 SHA256: 0a2884dd6399c971f41221c7e4228afa837e4c7b55e26bc36ff2b3bd12da4a50 SHA1: 7e9ebe9160177ee123816ff16ac86f4030b9e027 MD5sum: 353347bee1274811d87479cf200ad655 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 2.1.3-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1626 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_2.1.3-1~nd16.04+1_all.deb Size: 300296 SHA256: 012f50cea7de4300759d4533fab885990fbc27e888f7fa27a9667a8eabc65481 SHA1: e0e0cf5d99b162ea095fd9e21b279edaf826e2d3 MD5sum: a1325de170fb21421b388d0174296519 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-git-annex-adapter Source: git-annex-adapter Version: 0.0.0~pre1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 33 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160726~) | git-annex-standalone (>= 6.20160726~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-adapter Priority: optional Section: python Filename: pool/main/g/git-annex-adapter/python3-git-annex-adapter_0.0.0~pre1-1~nd16.04+1_all.deb Size: 6812 SHA256: 1e263dca528e4bc3acc21ff5dbc30e5a42e8dad2c24cd6367c6005a02ff2f51f SHA1: cdb7531fe99462f3ee622889e496f7ef3088f98f MD5sum: 00c952ca16a9f427762477c0fde1eab4 Description: call git-annex commands from within Python This is a minimalistic interface to git-annex. Commands are executed using subprocess and use their batch versions whenever possible. Package: python3-opengl Source: pyopengl Version: 3.1.0+dfsg-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 5289 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, freeglut3 Suggests: python3-tk, python3-numpy, libgle3 Homepage: http://pyopengl.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pyopengl/python3-opengl_3.1.0+dfsg-1~nd16.04+1_all.deb Size: 502442 SHA256: 70d36f1d4930e6b529dc5e338a93b80c397b5c2e18702b7aaeb652473865c9c3 SHA1: 04fcb1dfc2af7e36e299d3367512cea231f9ab32 MD5sum: 152c0535f97dee9f6fac13ab6ff1487d Description: Python bindings to OpenGL (Python 3) PyOpenGL is a cross-platform open source Python binding to the standard OpenGL API providing 2D and 3D graphic drawing. PyOpenGL supports the GL, GLU, GLE, and GLUT libraries. The library can be used with the Tkinter, wxPython, FxPy, and Win32GUI windowing libraries (or almost any Python windowing library which can provide an OpenGL context). . This is the Python 3 version of the package. Package: python3-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd16.04+1_all.deb Size: 20456 SHA256: 42d5c7c970226e81b0f17ae4652ff648d7383cf9e8808de91edf38e7cf2757fb SHA1: ab2277f582dc53d8671d48f1a223e9c5b5e58912 MD5sum: 641530aaadacf9937216ef63e4f45625 Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-pytest-runner Source: pytest-runner Version: 2.7.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/pytest-dev/pytest-runner Priority: optional Section: python Filename: pool/main/p/pytest-runner/python3-pytest-runner_2.7.1-1~nd16.04+1_all.deb Size: 6138 SHA256: c0d765fdbc263503b35ddaf7b5542aa5d96478d9454452d5562da8153342fc98 SHA1: f336e89023459de8693b4a12cfb7203559adc7c0 MD5sum: 761f7237281476ff3a8c53174cec36dd Description: Invoke py.test as distutils command with dependency resolution Setup scripts can use pytest-runner to add setup.py test support for pytest runner. . This package contains the Python 3 module. Package: python3-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest, python3-rdflib, python3:any (>= 3.3.2-2~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd16.04+1_all.deb Size: 20736 SHA256: 00f1f4dccddb10c7dc20864c2c1f3d1dd5d28e4f8a6688d64d0369c660546a81 SHA1: 7cee8efdc2c8913ab01e21b747340d64bc510998 MD5sum: 7fccb9cc5ce739fda709fe4a13a62dbb Description: SPARQL endpoint interface to Python3 This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 3 version of the package. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd16.04+1_all.deb Size: 290836 SHA256: cc05e669b1140db18ec728f1d3660733d90e5169fe036d0a383b7b2e9dfbb844 SHA1: 64faab26c358bac01ecf9851b4106ec0b8fbf220 MD5sum: 3656d0b3d443816dd647213af474dd04 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library