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Current neuroimaging software offer users an incredible opportunity toanalyze data using a variety of different algorithms. However, this hasresulted in a heterogeneous collection of specialized applicationswithout transparent interoperability or a uniform operating interface.

Nipype, an open-source, community-developed initiative under theumbrella of NiPy, is a Python project that provides a uniform interfaceto existing neuroimaging software and facilitates interaction betweenthese packages within a single workflow. Nipype provides an environmentthat encourages interactive exploration of algorithms from differentpackages (e.g., SPM, FSL, FreeSurfer, AFNI, Slicer, ANTS), eases thedesign of workflows within and between packages, and reduces thelearning curve necessary to use different packages. Nipype is creating acollaborative platform for neuroimaging software development in ahigh-level language and addressing limitations of existing pipelinesystems.

Nipype allows you to:

• easily interact with tools from different software packages
• combine processing steps from different software packages
• develop new workflows faster by reusing common steps from old ones
• process data faster by running it in parallel on many cores/machines
• make your research easily reproducible
• share your processing workflows with the community

Please see thedoc/README.txt document for information on ourdocumentation.

Information specific to Nipype is located here:

http://nipy.org/nipype

Python 2.7 reaches its end-of-life in January 2020, which means it willno longer be maintained by Python developers.Many projects are removing support in advance of thisdeadline, which will make it increasingly untenable to try to supportPython 2, even if we wanted to.

The final series with 2.7 support is 1.3.x. If you have a package usingPython 2 and are unable or unwilling to upgrade to Python 3, then youshould use the followingdependency forNipype:

nipype<1.4

Bug fixes will be accepted against themaint/1.3.x branch.

If you have a problem or would like to ask a question about how to do something in Nipype please open an issue toNeuroStars.org with anipype tag.NeuroStars.org is aplatform similar to StackOverflow but dedicated to neuroinformatics.

To participate in the Nipype development related discussions please use the following mailing list:

http://mail.python.org/mailman/listinfo/neuroimaging

Please add[nipype] to the subject line when posting on the mailing list.

You can even hangout with the Nipype developers in theirGitter channel or in the BrainHackSlack channel. (Clickhere to join the Slack workspace.)

If you'd like to contribute to the project please read ourguidelines. Please also read through ourcode of conduct.