Metadata-Version: 2.1
Name: datalad
Version: 0.14.8
Summary: data distribution geared toward scientific datasets
Home-page: UNKNOWN
Author: The DataLad Team and Contributors
Author-email: team@datalad.org
License: UNKNOWN
Project-URL: Homepage, https://www.datalad.org
Project-URL: Developer docs, https://docs.datalad.org/en/stable
Project-URL: User handbook, https://handbook.datalad.org
Project-URL: Source, https://github.com/datalad/datalad
Project-URL: Bug Tracker, https://github.com/datalad/datalad/issues
Description:      ____            _             _                   _ 
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                                                          Read me
        
        [![Travis tests status](https://travis-ci.com/datalad/datalad.png?branch=master)](https://travis-ci.com/datalad/datalad)
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        [![Testimonials 4](https://img.shields.io/badge/testimonials-4-brightgreen.svg)](https://github.com/datalad/datalad/wiki/Testimonials)
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        <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
        <!-- ALL-CONTRIBUTORS-BADGE:END -->
        
        
        # 10000-ft. overview
        
        DataLad makes data management and data distribution more accessible.
        To do that, it stands on the shoulders of [Git] and [Git-annex] to deliver a
        decentralized system for data exchange. This includes automated ingestion of
        data from online portals and exposing it in readily usable form as Git(-annex)
        repositories, so-called datasets. The actual data storage and permission
        management, however, remains with the original data providers.
        
        The full documentation is available at http://docs.datalad.org and
        http://handbook.datalad.org provides a hands-on crash-course on DataLad.
        
        # Extensions
        
        A number of extensions are available that provide additional functionality for
        DataLad. Extensions are separate packages that are to be installed in addition
        to DataLad. In order to install DataLad customized for a particular domain, one
        can simply install an extension directly, and DataLad itself will be
        automatically installed with it. An [annotated list of
        extensions](http://handbook.datalad.org/extension_pkgs.html) is available in
        the [DataLad handbook](http://handbook.datalad.org).
        
        
        # Support
        
        The documentation for this project is found here:
        http://docs.datalad.org
        
        All bugs, concerns, and enhancement requests for this software can be submitted here:
        https://github.com/datalad/datalad/issues
        
        If you have a problem or would like to ask a question about how to use DataLad,
        please [submit a question to
        NeuroStars.org](https://neurostars.org/new-topic?body=-%20Please%20describe%20the%20problem.%0A-%20What%20steps%20will%20reproduce%20the%20problem%3F%0A-%20What%20version%20of%20DataLad%20are%20you%20using%20%28run%20%60datalad%20--version%60%29%3F%20On%20what%20operating%20system%20%28consider%20running%20%60datalad%20plugin%20wtf%60%29%3F%0A-%20Please%20provide%20any%20additional%20information%20below.%0A-%20Have%20you%20had%20any%20luck%20using%20DataLad%20before%3F%20%28Sometimes%20we%20get%20tired%20of%20reading%20bug%20reports%20all%20day%20and%20a%20lil'%20positive%20end%20note%20does%20wonders%29&tags=datalad)
        with a `datalad` tag.  NeuroStars.org is a platform similar to StackOverflow
        but dedicated to neuroinformatics.
        
        All previous DataLad questions are available here:
        http://neurostars.org/tags/datalad/
        
        
        # Installation
        
        ## Debian-based systems
        
        On Debian-based systems, we recommend enabling [NeuroDebian], via which we
        provide recent releases of DataLad. Once enabled, just do:
        
            apt-get install datalad
        
        ## Other Linux'es via conda
        
            conda install -c conda-forge datalad
        
        will install the most recently released version, and release candidates are
        available via
        
            conda install -c conda-forge/label/rc datalad
        
        ## Other Linux'es, macOS via pip
        
        Before you install this package, please make sure that you [install a recent
        version of git-annex](https://git-annex.branchable.com/install).  Afterwards,
        install the latest version of `datalad` from
        [PyPI](https://pypi.org/project/datalad). It is recommended to use
        a dedicated [virtualenv](https://virtualenv.pypa.io):
        
            # Create and enter a new virtual environment (optional)
            virtualenv --python=python3 ~/env/datalad
            . ~/env/datalad/bin/activate
        
            # Install from PyPI
            pip install datalad
        
        By default, installation via pip installs the core functionality of DataLad,
        allowing for managing datasets etc.  Additional installation schemes
        are available, so you can request enhanced installation via
        `pip install datalad[SCHEME]`, where `SCHEME` could be:
        
        - `tests`
             to also install dependencies used by DataLad's battery of unit tests
        - `full`
             to install all dependencies.
        
        More details on installation and initial configuration can be found in the
        [DataLad Handbook: Installation].
        
        # License
        
        MIT/Expat
        
        
        # Contributing
        
        See [CONTRIBUTING.md](CONTRIBUTING.md) if you are interested in internals or
        contributing to the project. 
        
        ## Acknowledgements
        
        DataLad development is supported by a US-German collaboration in computational
        neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and
        deployment logistics into a federated 'data distribution'" (Halchenko/Hanke),
        co-funded by the US National Science Foundation (NSF 1429999) and the German
        Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support
        is provided by the German federal state of Saxony-Anhalt and the European
        Regional Development Fund (ERDF), Project: Center for Behavioral Brain
        Sciences, Imaging Platform.  This work is further facilitated by the ReproNim
        project (NIH 1P41EB019936-01A1).
        
        <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
        <!-- ALL-CONTRIBUTORS-LIST:END -->
        
        
        [Git]: https://git-scm.com
        [Git-annex]: http://git-annex.branchable.com
        [setup.py]: https://github.com/datalad/datalad/blob/master/setup.py
        [NeuroDebian]: http://neuro.debian.net
        
        [DataLad Handbook: Installation]: http://handbook.datalad.org/en/latest/intro/installation.html
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: DFSG approved
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Unix Shell
Classifier: Topic :: Communications :: File Sharing
Classifier: Topic :: Education
Classifier: Topic :: Internet
Classifier: Topic :: Other/Nonlisted Topic
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Version Control :: Git
Classifier: Topic :: Utilities
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: core
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Provides-Extra: devel-docs
Provides-Extra: devel-utils
Provides-Extra: downloaders
Provides-Extra: downloaders-extra
Provides-Extra: duecredit
Provides-Extra: full
Provides-Extra: metadata
Provides-Extra: metadata-extra
Provides-Extra: misc
Provides-Extra: publish
Provides-Extra: tests
