{ "info": { "author": "The DataLad Team and Contributors", "author_email": "team@datalad.org", "bugtrack_url": null, "classifiers": [], "description": "Revolutionary DataLad extension\n===============================\n\n`Travis tests\nstatus `__ `Build\nstatus `__\n`codecov.io `__\n`GitHub\nrelease `__\n`PyPI version\nfury.io `__\n`Documentation `__\n\nThis software is a `DataLad `__ extension that\nequips DataLad with alternative and additional core commands that are\nleaner and written specifically with enhanced cross-platform\ncompatibility and speed in mind. Please see the `extension\ndocumentation `__ for a\ndescription on additional commands and functionality.\n\n**Note:** There is *no support* for `git-annex direct mode\nrepositories `__. Users\nthat previously relied on this mode, and Windows users in particular,\nare recommended to use `git-annex V7\nmode `__. DataLad can be\ninstructed to always use this mode by running:\n\n::\n\n git config --global --add datalad.repo.version 6\n\nCommand(s) currently provided by this extension\n\n- ``rev-extract-metadata`` \u2013 new and improved dedicated command to run\n any and all of DataLad\u2019s metadata extractors. Much improved versions\n of the core extractor implementations also ship with this extension.\n- ``rev-aggregate-metadata`` \u2013 complete reimplementation of metadata\n aggregation, with stellar performance benefits, in particular on\n large dataset hierarchies.\n- ``query-metadata`` \u2013 new command to specifically access the\n aggregated metadata present in a dataset, much faster and more\n predictable behavior than the ``metadata`` command in datalad-core.\n\nInstallation\n------------\n\nBefore you install this package, please make sure that you `install a\nrecent version of\ngit-annex `__. Afterwards,\ninstall the latest version of ``datalad-revolution`` from\n`PyPi `__. It is\nrecommended to use a dedicated\n`virtualenv `__:\n\n::\n\n # create and enter a new virtual environment (optional)\n virtualenv --system-site-packages --python=python3 ~/env/datalad\n . ~/env/datalad/bin/activate\n\n # install from PyPi\n pip install datalad_revolution\n\nSupport\n-------\n\nFor general information on how to use or contribute to DataLad (and this\nextension), please see the `DataLad website `__ or\nthe `main GitHub project page `__. The documentation\nis found here: http://docs.datalad.org/projects/revolution\n\nAll bugs, concerns and enhancement requests for this software can be\nsubmitted here: https://github.com/datalad/datalad-revolution/issues\n\nIf you have a problem or would like to ask a question about how to use\nDataLad, please `submit a question to\nNeuroStars.org `__ with a\n``datalad`` tag. NeuroStars.org is a platform similar to StackOverflow\nbut dedicated to neuroinformatics.\n\nAll previous DataLad questions are available here:\nhttp://neurostars.org/tags/datalad/\n\nAcknowledgements\n----------------\n\nDataLad development is supported by a US-German collaboration in\ncomputational neuroscience (CRCNS) project \u201cDataGit: converging\ncatalogues, warehouses, and deployment logistics into a federated \u2018data\ndistribution\u2019\u201d (Halchenko/Hanke), co-funded by the US National Science\nFoundation (NSF 1429999) and the German Federal Ministry of Education\nand Research (BMBF 01GQ1411). Additional support is provided by the\nGerman federal state of Saxony-Anhalt and the European Regional\nDevelopment Fund (ERDF), Project: Center for Behavioral Brain Sciences,\nImaging Platform. 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