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Workflows and interfaces for neuroimaging packages
Python Tcl HTML Matlab KiCad Makefile

Merge pull request #1110 from oesteban/fix/FUGUEOutputs

Revert #978 adding tests (see also #977)
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@satra satra authored
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bin A tool to export Nipype interfaces in the Boutiques JSON format (http…
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examples fix: remove pe, clean doc and add sbatch args
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nipype Merge pull request #1110 from oesteban/fix/FUGUEOutputs
tools OPEN - task 788: Add support for running interface from commandline
.coveragerc enh: added coveralls support
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.mailmap Updating my (MLW) info in .mailmap
.travis.yml fix: removed use-mirrors option for pip in travis
CHANGES Merge pull request #1088 from satra/fix/rsfmritsnr Create
INSTALL fix: docs build without any sphinx errors or warnings
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requirements.txt Revert "added argparse as a dependency" fix: switch setup to numpy sty: removed trailing spaces (thanks alex)


NIPYPE: Neuroimaging in Python: Pipelines and Interfaces Latest Version Downloads Supported Python versions Development Status License

Current neuroimaging software offer users an incredible opportunity to analyze data using a variety of different algorithms. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface.

Nipype, an open-source, community-developed initiative under the umbrella of NiPy, is a Python project that provides a uniform interface to existing neuroimaging software and facilitates interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages (e.g., SPM, FSL, FreeSurfer, AFNI, Slicer, ANTS), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems.

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 the doc/README.txt document for information on our documentation.


Information specific to Nipype is located here:

Support and Communication

If you have a problem or would like to ask a question about how to do something in Nipype please submit a question to with a nipype tag. is a platform similar to StackOverflow but dedicated to neuroinformatics. All previous Nipype questions are available here:

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

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

Nipype structure

Currently Nipype consists of the following files and directories:

NIPYPE prerequisites, installation, development, testing, and troubleshooting.
This document.
NIPYPE developers and contributors. Please keep it up to date!!
NIPYPE license terms.
Sphinx/reST documentation


Contains the source code.
Script for building and installing NIPYPE.

License information

We use the 3-clause BSD license; the full license is in the file LICENSE in the nipype distribution.

There are interfaces to some GNU code but these are entirely optional.

All trademarks referenced herein are property of their respective holders.

Copyright (c) 2009-2014, NIPY Developers All rights reserved.

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