Package: datalad Version: 0.7.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.7.0-2~nd100+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.7.0-2~nd100+1_all.deb Size: 66286 SHA256: 4b5babb074a4688a19c483255b2bca4655041c7097037f865b1faa051a36fe85 SHA1: 6c9587036437c32d1d64d04025cfe0045b1d0830 MD5sum: 6b8979d628b568fdcbb1f17a8d9f49ea 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: git-annex-standalone Source: git-annex Version: 6.20170525+gitge1cf095ae-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 159988 Depends: git, openssh-client Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_6.20170525+gitge1cf095ae-1~ndall+1_i386.deb Size: 35943850 SHA256: a1e2eaa16d65474c269cc0d2c47d687ae18e528d643eeaeacb68581ce6b8cc81 SHA1: 7d4d4ab7628a59788382f0a0a3b0b717ecbd9406 MD5sum: c8a3d044737c9d19ba115954472a41ff Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: nuitka Version: 0.5.26.4+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3461 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~nd100+1_all.deb Size: 683878 SHA256: 975a385b58daec07bee9c2782221b94a245474647ea72a763999ff36e54f5e2d SHA1: 7f68313131ebb516d9814a69c7046a77bca1cc76 MD5sum: 4c75d70c942c58d3092c74e2b515881b 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: python-datalad Source: datalad Version: 0.7.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3650 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: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_0.7.0-2~nd100+1_all.deb Size: 707520 SHA256: afc01141c5d52675a8e324df201745562f90a7c0bc60d06b06ef90346638491b SHA1: 5e5d058b091b8324853ff26f630f8a31b31b4393 MD5sum: 9135212fc9154b6cf61180b027419ae6 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6929 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.12.0-1~nd100+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~nd100+1_all.deb Size: 3014488 SHA256: f5a083cc63eff24a2be6a46b7d8f5ffb731dfcdf2cc4443b9d0b6ba5495a2e2f SHA1: 3f073f686180dd8865046ffb8c3e80c20b944a3d MD5sum: 0363ce5e7c8d159445e068f372cdde01 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14215 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~nd100+1_all.deb Size: 10551850 SHA256: e422a518abf56346508fd94e8e0df481b9c7926aa6a8fbafcf9a54f6104fc61d SHA1: 16254163533e3554b325fd17c03563aa8c1952d4 MD5sum: 51b3af04733fb250180ae23bd4f4a4cb 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: singularity-container Version: 2.3.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2356 Depends: neurodebian-popularity-contest, libc6 (>= 2.16), python Homepage: http://gmkurtzer.github.io/singularity Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.3.1-1~nd100+1_i386.deb Size: 265518 SHA256: 92348ff353220494219579e57398557eec726e51122c1d00587cbd5e01d06a8b SHA1: 4685b19eee4cf7e6d69cc85102b3a9a54976d791 MD5sum: 3ecbd705fd7a5332f0debff0b8877ba9 Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.3.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1002 Depends: singularity-container (= 2.3.1-1~nd100+1) Homepage: http://gmkurtzer.github.io/singularity Priority: extra Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.3.1-1~nd100+1_i386.deb Size: 756930 SHA256: 345c971e7c7ffdabbc08c208257672cd474b6bce7c62ad845bde0c9d49e9e47a SHA1: 282682d80b34e647c508414b311203da96ccf439 MD5sum: f0b10cc0e1e406c92681f7bd0798d734 Description: Debug symbols for singularity-container Build-Ids: 05e8c04400a1dd56c861026f0aa201cff5a21901 23843d443d6a32e09bababe9946797c5e878ae39 2411a65c9eb6bba244a475bbda80c8297f6968dc 39bff230b5b1c7576035a9ce4da675bc03cbc11d 4160f20a189116161f9de1280bb3673f1e013c5b 437a141aa8d309d8611fc2d553373bb67e10b42b 5fc906432c205da00ae655186b9c1bafaa9e82c9 66e76576ae703b2ab3f53dea1cdba9aa389ca6d2 71bb65df74583452ef566bb547e2290b33058a70 87a14fbee1b4dd6718a9c65f5522c773c71fd041 89692bee48e5d73e0859798396ed171093216966 9a9e09b1d1ed14e5e3753f23035361af03b2b848 a2da4182e9009bc78f5cac777d9a284cd448fa09 cacc50c59caa6739627013788beeff927e8d9138 d4c449d1ce64224d2f04060594686c1c4b032a96 d6691390e28f24a4826eba9fbe736ca54c509aaf e744c92f035ab837a92528d010646e696fb18202 ec0bcccfab679bd15bf9c9771ef7b9d13ab29509