nipype 0.5.1

filo@www.nitrc.org (Chris Gorgolewski) — Wed, 14 Mar 2012 14:43:00 GMT

Nipype has enabled users to efficiently process and analyze large and diverse neuroimaging data using a combination of tools from several sophisticated software packages (e.g., AFNI, FSL, FreeSurfer, NiPy, SPM). This Python-based neuroimaging framework allows replicable, efficient and optimal use of neuroimaging tools. It provides semantically uniform access to underlying software (whether written in C/C++, Matlab, Python or Java) and a scriptable workflow creation and execution engine that supports local or distributed computation. Nipype has grown in terms of features, developers, and users. We outline recent developments and describe upcoming features.

Nipype addresses the problem of interacting with neuroimaging software in a sustainable and open manner. All source code and the complete history are accessible to everyone. Code modifications are reviewed and tested before merging. Discussions and design decisions are done on an open access mailing list, encouraging a broader community of developers to join and allows sharing of the development resources (effort, money, information and time). Since the last release (version 0.4.1) 13 contributors sent 65 pull requests which resulted in 335 commits.

For more information see our website: http://nipy.org/nipype and recently published paper: http://www.frontiersin.org/neuroinformatics/10.3389/fninf.2011.00013/abstract

Grab it from https://github.com/nipy/nipype/tarball/0.5.1, through PyPi using easy_install/pip or from a NeuroDebian repositoryhttp://neuro.debian.net/.

For support please use our mailing list: nipy-users@googlegroups.com

Nipype: NIPY Pipeline and Interfaces Releases

nipype 0.5.1