Package: datalad Version: 0.7.0-2~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 117 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.7.0-2~nd14.04+1), python Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.7.0-2~nd14.04+1_all.deb Size: 66254 SHA256: b32c2cba7581634b44f577c4e54c362dbce57813de90e92b5059d66f139672db SHA1: 6b408eb65489fbc42125c927be965f4278966ac8 MD5sum: 6d42b55ebb12e982141eda17eec0bc21 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1253 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python, python:any (>= 2.7.5-5~), lsb-base (>= 2.0-7) Recommends: iptables, whois, python-pyinotify Suggests: mailx, system-log-daemon, monit, python-systemd Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd14.04+1_all.deb Size: 263184 SHA256: 1845d2b63439b839dd22c15acae7ed222a540a69b7e51e770cdc2c20c5bc3c35 SHA1: d80487781cb7548b2ecf033cbc8f2bf76eee298e MD5sum: 9065582859bbeec8910489a8a66df202 Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: git-annex-metadata-gui Version: 0.0.0~pre1-1~nd14.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 87 Depends: neurodebian-popularity-contest, python3-git-annex-adapter, python3-pyqt5, python3:any (>= 3.3.2-2~), python3 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~nd14.04+1_all.deb Size: 10318 SHA256: 203ec15728c35e9495f6d0abc1a3d2e564ebb35a3b6ab6708f65af00b85f4a13 SHA1: c4ac625231e4edc2c62601ebad30aafaf6816276 MD5sum: 83cbc57483f8cee3cb9902f093a27fb0 Description: graphical interface to the metadata functionality of git-annex Flexible graphical user interface to view and manipulate metadata of git-annex repositories. Package: heudiconv Version: 0.1+git94-g85a2afb-1~nd14.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 128 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~nd14.04+1_all.deb Size: 19564 SHA256: 94332ef1669da38c6f1f1e4d476b90274003985d8458b80a82ad8a8957fbf341 SHA1: 15a3d7abf9daf2c575f93b58039fc186d899d779 MD5sum: 0f513364573256843bd79dc3d31fc22a 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: 0.5.26.4+ds-1~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3472 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), 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_0.5.26.4+ds-1~nd14.04+1_all.deb Size: 685986 SHA256: 8abff0a1111ea901e2e267d49c6ec1377345692752ddecd74861a19ab43dacb7 SHA1: 67b687a413e9902c4eeb99017a476ed1de20e524 MD5sum: b53a1c6585d44236737d7be74c349402 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 221247 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~nd14.04+1_all.deb Size: 24438458 SHA256: 0634cbd85707a1dcf822c38c864799466e218b265c8df3c04c480b57d6c8a35e SHA1: 67c7815dd4d0d656a16489e48df4f9fe5b6564af MD5sum: 11d2ddf6be5b538d32fa45838b7d6749 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 278 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python:any (<< 2.8), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd14.04+1_all.deb Size: 56098 SHA256: adcaa21cc21f1669088c365e4785f139090c2a9b07ca486bc606883e26999b5e SHA1: 970bdc07b050871f4e08dfc01056ead038e35b46 MD5sum: 84b4bbc574f864f57fd71ce71bbfcaeb 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: 0.7.0-2~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3663 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:any (>= 2.7.5-5~), python:any (<< 2.8), python-jsmin, python-boto 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_0.7.0-2~nd14.04+1_all.deb Size: 709310 SHA256: 7d17329afd660876d5844bcf4beee42611a26d7b9e04ef1c37e19cec03e8160f SHA1: d1af9ee167d03664345d259b2cc35b1fe5d71fbb MD5sum: ee7942142c432b33420eab190e99c8a2 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6890 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.12.0-1~nd14.04+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~nd14.04+1_all.deb Size: 3019816 SHA256: 5f9ca94b1a4dbf06b085c888d6aa8ffd3f10b74d33cefe9c6e1ba97399542ca2 SHA1: 9832d9481262e70ab242c336198debe05388464a MD5sum: 57f4b98658f0b9a609cd0bc527e77308 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13946 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~nd14.04+1_all.deb Size: 10511706 SHA256: 329db668133c9c300074474792a39a258073fae091a102cd6d25ec0f7f1629c9 SHA1: 3293a7831cf0dd033d24b4aabd2b6683bf34f5b6 MD5sum: 93f2f28dfadf0335ed8d6dd29a57444b Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-git Version: 2.1.3-1~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1614 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~nd14.04+1_all.deb Size: 300298 SHA256: 0c5cd50146f29138b3c175c7695670820a460c4abc344e716d8c0834caae508c SHA1: f6ea593ed738a17ec63e13427ad06436a3185704 MD5sum: bf882391fa6481f15ee22788d9579805 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 965 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~nd14.04+1_all.deb Size: 128542 SHA256: 29618bbe0317f24ba80056d98c27d758ee9f23ea49d39f099f7d7aaaa6c7dde5 SHA1: 4e29d3c00d8ebb2c562ead683810e48f1c36ecfb MD5sum: 62c1c600cd9c600169d77bffad5b9b32 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8479 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python:any (>= 2.7.1-0ubuntu2), python-mvpa2-lib (>= 2.6.1-1~nd14.04+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~nd14.04+1_all.deb Size: 5100910 SHA256: 063242a9b16f7500133f38449a03b47e814fe85266c33cbe64295afdd9b22d4b SHA1: 1fd566c2df77e14a226678af9a2026d104e5118c MD5sum: 33879e03e7691a79570bff05251c4e45 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31561 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~nd14.04+1_all.deb Size: 4735044 SHA256: 189d254392be454fd1b328b32ed3e24fd1c88156d8ae15634f43353d2ec39316 SHA1: 425e4fe1b116298b3ec074929e6ec0cd69ca5b40 MD5sum: ad2d5b46a9bfe9ff6210f6b5ed817797 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-pydotplus Version: 2.0.2-2~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 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~nd14.04+1_all.deb Size: 20388 SHA256: 5f88819d07201421714fcab105d3a6b51ad225054df0b13106c87365bdeab728 SHA1: 865976a4379048ce069808ad030eb95bac49c25b MD5sum: fd875b3f9f2ebf748766f0041697709c 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 755 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd14.04+1_all.deb Size: 178594 SHA256: d41e0215066c4186949c7d75481e9679cc1b7776d784447b012e4f18b8b9a7b5 SHA1: 0b9e64843059d34f8a55edbfe71baeb50818cc9f MD5sum: 0ac2d05c292d25fe59cb5a9574efe10a 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-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python-rdflib, python:any (<< 2.8) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd14.04+1_all.deb Size: 22226 SHA256: 6365bf27cdddeb0dc5a835b486e3f95f6aeeef02411a1f1ed21fae48e8d90988 SHA1: c422fe5f0dff84d91d4d9675861590804335009e MD5sum: d806c9c5c61ccbf16dba02aeecf150f6 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-wrapt-doc Source: python-wrapt Version: 1.9.0-2~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 717 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-2~nd14.04+1_all.deb Size: 183744 SHA256: cb2cd78b58134348eb3ac1024dd5dba2904f19b634d0d68fbc9dc34365114ec8 SHA1: 90844ae5e6d4aece943e72d07c3a4989e29f6993 MD5sum: a5288bb8193039042cbca636c7b89fb2 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 278 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~nd14.04+1_all.deb Size: 56188 SHA256: d05d135eb817cf33d2ccb3db9d41d481409848fe1c68d7e66eceb3b7a6525762 SHA1: 10fa4456113bfe8fb91fad9c45705f9145226b3f MD5sum: 2ca90cebb8a23c7374d69a7914107cd0 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-git Source: python-git Version: 2.1.3-1~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1610 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~nd14.04+1_all.deb Size: 300190 SHA256: 054bc8606515fab16791e7eaa9645ef31f674e4ddf381cec04ab3b92a17270d2 SHA1: 61de7c9b917360d3ba5c907d7d7077352fc8f8bd MD5sum: 9a9913c2d46398c76f403f9adb0fbf25 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~nd14.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 58 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~nd14.04+1_all.deb Size: 6812 SHA256: 873fa20a8eb97911cdeb8370e14ee2c873c48b12bd050f5bcdc210b358e7b431 SHA1: 92507e496b6bb639fcf72998104d9ce5e594840b MD5sum: 0f451ba440628e74f2c2289e04a97742 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-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 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~nd14.04+1_all.deb Size: 20474 SHA256: 557b0e8db1ac1df57386c22b1351d758a700ed8f783aa27e786e4a2419401715 SHA1: f6b548427b39a7dce36c0401e9cfe8dec184459b MD5sum: a4ecd6b7ce3510c2da1d83c6a2296efe 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-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-rdflib Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd14.04+1_all.deb Size: 20756 SHA256: eb86395372282db3feb488093bf428a5a3b41e4f9891ef12e34ec3cda710fb4c SHA1: be589fcf0f0f2831fdd6efbcad11ba38d2775c78 MD5sum: a5919efd227c3c93cd2bf552861ec768 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.