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.. list-table::
* - .. image:: images/nipype_architecture_overview2.png
:width: 100 %
- .. container::
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., ANTS_, SPM_, FSL_, FreeSurfer_, Camino_, MRtrix_, MNE_, AFNI_,
Slicer_, DIPY_), 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
.. admonition:: Reference
Gorgolewski K, Burns CD, Madison C, Clark D, Halchenko YO, Waskom ML, Ghosh SS.
(2011). Nipype: a flexible, lightweight and extensible neuroimaging data
processing framework in Python. Front. Neuroinform. 5:13. `Download`__
__ paper_
.. tip::
To get started, click Quickstart above. The Links box on the right is
available on any page of this website.
.. include:: links_names.txt
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