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Neuroimaging in Python: Pipelines and Interfaces\n========================================================\n\n.. image:: https://travis-ci.org/nipy/nipype.svg?branch=master\n  :target: https://travis-ci.org/nipy/nipype\n\n.. image:: https://circleci.com/gh/nipy/nipype/tree/master.svg?style=svg\n  :target: https://circleci.com/gh/nipy/nipype/tree/master\n\n.. image:: https://codecov.io/gh/nipy/nipype/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/nipy/nipype\n\n.. image:: https://api.codacy.com/project/badge/Grade/452bfc0d4de342c99b177d2c29abda7b\n  :target: https://www.codacy.com/app/nipype/nipype?utm_source=github.com\u0026amp;utm_medium=referral\u0026amp;utm_content=nipy/nipype\u0026amp;utm_campaign=Badge_Grade\n\n.. image:: https://img.shields.io/pypi/v/nipype.svg\n    :target: https://pypi.python.org/pypi/nipype/\n    :alt: Latest Version\n\n.. image:: https://img.shields.io/pypi/pyversions/nipype.svg\n    :target: https://pypi.python.org/pypi/nipype/\n    :alt: Supported Python versions\n\n.. image:: https://img.shields.io/pypi/status/nipype.svg\n    :target: https://pypi.python.org/pypi/nipype/\n    :alt: Development Status\n\n.. image:: https://img.shields.io/pypi/l/nipype.svg\n    :target: https://pypi.python.org/pypi/nipype/\n    :alt: License\n\n.. image:: https://img.shields.io/badge/gitter-join%20chat%20%E2%86%92-brightgreen.svg?style=flat\n    :target: http://gitter.im/nipy/nipype\n    :alt: Chat\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.596855.svg\n   :target: https://doi.org/10.5281/zenodo.596855\n   :alt: Citable DOI\n\nCurrent neuroimaging software offer users an incredible opportunity to\nanalyze data using a variety of different algorithms. However, this has\nresulted in a heterogeneous collection of specialized applications\nwithout transparent interoperability or a uniform operating interface.\n\n*Nipype*, an open-source, community-developed initiative under the\numbrella of NiPy, is a Python project that provides a uniform interface\nto existing neuroimaging software and facilitates interaction between\nthese packages within a single workflow. Nipype provides an environment\nthat encourages interactive exploration of algorithms from different\npackages (e.g., SPM, FSL, FreeSurfer, AFNI, Slicer, ANTS), eases the\ndesign of workflows within and between packages, and reduces the\nlearning curve necessary to use different packages. Nipype is creating a\ncollaborative platform for neuroimaging software development in a\nhigh-level language and addressing limitations of existing pipeline\nsystems.\n\n*Nipype* allows you to:\n\n* easily interact with tools from different software packages\n* combine processing steps from different software packages\n* develop new workflows faster by reusing common steps from old ones\n* process data faster by running it in parallel on many cores/machines\n* make your research easily reproducible\n* share your processing workflows with the community\n\nDocumentation\n-------------\n\nPlease see the ``doc/README.txt`` document for information on our\ndocumentation.\n\nWebsite\n-------\n\nInformation specific to Nipype is located here::\n\n    http://nipy.org/nipype\n\nPython 2 Statement\n------------------\n\nPython 2.7 reaches its end-of-life in January 2020, which means it will\n*no longer be maintained* by Python developers. `Many projects\n\u003chttps://python3statement.org/\u003e`__ are removing support in advance of this\ndeadline, which will make it increasingly untenable to try to support\nPython 2, even if we wanted to.\n\nThe final series with 2.7 support is 1.3.x. If you have a package using\nPython 2 and are unable or unwilling to upgrade to Python 3, then you\nshould use the following `dependency\n\u003chttps://www.python.org/dev/peps/pep-0440/#version-specifiers\u003e`__ for\nNipype::\n\n    nipype\u003c1.4\n\nBug fixes will be accepted against the ``maint/1.3.x`` branch.\n\nSupport and Communication\n-------------------------\n\nIf you have a problem or would like to ask a question about how to do something in Nipype please open an issue to\n`NeuroStars.org \u003chttp://neurostars.org\u003e`_ with a *nipype* tag. `NeuroStars.org \u003chttp://neurostars.org\u003e`_  is a\nplatform similar to StackOverflow but dedicated to neuroinformatics.\n\nTo participate in the Nipype development related discussions please use the following mailing list::\n\n       http://mail.python.org/mailman/listinfo/neuroimaging\n\nPlease add *[nipype]* to the subject line when posting on the mailing list.\n\nYou can even hangout with the Nipype developers in their\n`Gitter \u003chttps://gitter.im/nipy/nipype\u003e`_ channel or in the BrainHack `Slack \u003chttps://brainhack.slack.com/messages/C1FR76RAL\u003e`_ channel. (Click `here \u003chttps://brainhack-slack-invite.herokuapp.com\u003e`_ to join the Slack workspace.)\n\n\nContributing to the project\n---------------------------\n\nIf you'd like to contribute to the project please read our `guidelines \u003chttps://github.com/nipy/nipype/blob/master/CONTRIBUTING.md\u003e`_. Please also read through our `code of conduct \u003chttps://github.com/nipy/nipype/blob/master/CODE_OF_CONDUCT.md\u003e`_.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnipy%2Fnipype","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnipy%2Fnipype","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnipy%2Fnipype/lists"}