nipype

Name	nipype JSON
Version	1.8.6 JSON
	download
home_page	http://nipy.org/nipype
Summary	Neuroimaging in Python: Pipelines and Interfaces
upload_time	2023-04-06 12:54:33
maintainer	nipype developers
docs_url	https://pythonhosted.org/nipype/
author	nipype developers
requires_python	>= 3.7
license	Apache License, 2.0
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            ========================================================
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 <http://nipy.org>`_, 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., AFNI, ANTS, BRAINS, BrainSuite, Camino, FreeSurfer, FSL, MNE,
MRtrix, MNE, Nipy, Slicer, SPM), 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

            

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