NIPYPE: Workflows and Interfaces for Neuroimaging Packages

NIPYPE: Neuroimaging in Python: Pipelines and Interfaces

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:

Python 2 Statement

Python 2.7 reaches its end-of-life in January 2020, which means it will no longer be maintained by Python developers. Many projects are removing support in advance of this deadline, which will make it increasingly untenable to try to support Python 2, even if we wanted to.

The final series with 2.7 support is 1.3.x. If you have a package using Python 2 and are unable or unwilling to upgrade to Python 3, then you should use the following dependency for Nipype:


Bug fixes will be accepted against the maint/1.3.x branch.

Support and Communication

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

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

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

You can even hangout with the Nipype developers in their Gitter channel or in the BrainHack Slack channel. (Click here to join the Slack workspace.)

Contributing to the project

If you'd like to contribute to the project please read our guidelines. Please also read through our code of conduct.

Download Details:

Author: nipy
Source Code: 
License: View license

#machinelearning #python #datascience 

NIPYPE: Workflows and Interfaces for Neuroimaging Packages
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