Dear members of the neuroimaging community,
We are pleased to announce release 0.3.2 of NiPyPe [nai-pipe]: Neuroimaging in Python Pipelines and Interfaces (http://nipy.org/nipype).
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), 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 * quickly develop new workflows by reusing common steps from existing workflows * process data faster by running it in parallel on many cores/machines * make your research easily reproducible * share your processing workflows with the community
For example workflows see: http://nipy.sourceforge.net/nipype/users/pipeline_tutorial.html
Nipype is a young community-based project and we welcome your inputs, contributions and criticisms. Release Notes
Please see: http://nipy.org/nipype/changes.html Where to go for help
* the user mailing list: nipy-user@googlegroups.com [subscribe]: http://groups.google.com/group/nipy-user * the developer mailing list: nipy-devel@neuroimaging.scipy.org [subscribe]: http://mail.scipy.org/mailman/listinfo/nipy-devel
on both of these lists please prefix the subject heading with [nipype] to indicate a nipype relevant post.
--- The NiPy Community