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        "description": "=========================================\nDataFS Data Management System\n=========================================\n\n.. image:: https://img.shields.io/pypi/v/datafs.svg\n        :target: https://pypi.python.org/pypi/datafs\n\n.. image:: https://travis-ci.org/ClimateImpactLab/DataFS.svg?branch=master\n        :target: https://travis-ci.org/ClimateImpactLab/DataFS?branch=master\n\n.. image:: https://coveralls.io/repos/github/ClimateImpactLab/DataFS/badge.svg?branch=master\n        :target: https://coveralls.io/github/ClimateImpactLab/DataFS?branch=master\n\n.. image:: https://readthedocs.org/projects/datafs/badge/?version=latest\n        :target: https://datafs.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/ClimateImpactLab/DataFS/shield.svg\n        :target: https://pyup.io/repos/github/ClimateImpactLab/DataFS/\n        :alt: Updates\n\n.. image:: https://api.codacy.com/project/badge/Grade/5e095453424840e092e71c42b8ad8b52\n        :alt: Codacy Badge\n        :target: https://www.codacy.com/app/delgadom/DataFS?utm_source=github.com&utm_medium=referral&utm_content=ClimateImpactLab/DataFS&utm_campaign=badger\n\n.. image:: https://badges.gitter.im/DataFS/Lobby.svg\n   :alt: Join the chat at https://gitter.im/DataFS/Lobby\n   :target: https://gitter.im/DataFS/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge\n\n\nDataFS is a package manager for data. It manages file versions, dependencies, and metadata for individual use or large organizations.\n\nConfigure and connect to a metadata `Manager <http://datafs.readthedocs.io/en/latest/configure.manager.html>`_ and multiple data `Services <http://datafs.readthedocs.io/en/latest/configure.authorities.html>`_ using a specification file and you'll be sharing, tracking, and using your data in seconds.\n\n\n* Free software: MIT license\n* Documentation: https://datafs.readthedocs.io.\n\n\nFeatures\n--------\n\n* Explicit version and metadata management for teams\n* Unified read/write interface across file systems\n* Easily create out-of-the-box configuration files for users\n* Track data dependencies and usage logs\n* Use datafs from python or from the command line\n* Permissions handled by managers & services, giving you control over user access\n\n\nUsage\n-----\n\nFirst, `configure an API <http://datafs.readthedocs.io/en/latest/configure.html>`_. Don't worry. It's not too bad. Check out the `quickstart <http://datafs.readthedocs.io/en/latest/quickstart.yml>`_ to follow along.\n\nWe'll assume we already have an API object created and attached to a service called \"local\". Once you have this, you can start using DataFS to create and use archives.\n\n.. code-block:: bash\n\n    $ datafs create my_new_data_archive --description \"a test archive\"\n    created versioned archive <DataArchive local://my_new_data_archive>\n    \n    $ echo \"initial file contents\" > my_file.txt\n    \n    $ datafs update my_new_data_archive my_file.txt\n    \n    $ datafs cat my_new_data_archive\n    initial file contents\n\nVersions are tracked explicitly. Bump versions on write, and read old versions \nif desired.\n\n.. code-block:: bash\n\n    $ echo \"updated contents\" > my_file.txt\n    \n    $ datafs update my_new_data_archive my_file.txt --bumpversion minor\n    uploaded data to <DataArchive local://my_new_data_archive>. version bumped 0.0.1 --> 0.1.\n    \n    $ datafs cat my_new_data_archive\n    updated contents\n    \n    $ datafs cat my_new_data_archive --version 0.0.1\n    initial file contents\n\nPin versions using a requirements file to set the default version\n\n.. code-block:: bash\n\n    $ echo \"my_new_data_archive==0.0.1\" > requirements_data.txt\n    \n    $ datafs cat my_new_data_archive\n    initial file contents\n\nAll of these features are available from (and faster in) python:\n\n.. code-block:: python\n\n    >>> import datafs\n    >>> api = datafs.get_api()\n    >>> archive = api.get_archive('my_new_data_archive')\n    >>> with archive.open('r', version='latest') as f:\n    ...     print(f.read())\n    ...\n    updated contents\n\n\nIf you have permission to delete archives, it's easy to do. See `administrative tools <http://datafs.readthedocs.io/en/latest/admin.html>`_ for tips on setting permissions.\n\n.. code-block:: bash\n\n    $ datafs delete my_new_data_archive\n    deleted archive <DataArchive local://my_new_data_archive>\n\nSee `examples <http://datafs.readthedocs.io/en/latest/examples.html>`_ for more extensive use cases.\n\n\n\nInstallation\n------------\n\n``pip install datafs``\n\n\nAdditionally, you'll need a manager and services:\n\nManagers:\n\n* MongoDB: ``pip install pymongo``\n* DynamoDB: ``pip install boto3``\n\nServices:\n\n* Ready out-of-the-box:\n\n  - local\n  - shared\n  - mounted\n  - zip\n  - ftp\n  - http/https\n  - in-memory\n\n* Requiring additional packages:\n\n  - AWS/S3: ``pip install boto``\n  - SFTP: ``pip install paramiko``\n  - XMLRPC: ``pip install xmlrpclib``\n\n\nRequirements\n------------\n\nFor now, DataFS requires python 2.7. 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