Docker images for continuous integration services
4.8K
.. image:: https://travis-ci.org/nipy/nipype.png?branch=master :target: https://travis-ci.org/nipy/nipype
.. image:: https://circleci.com/gh/nipy/nipype/tree/master.svg?style=svg :target: https://circleci.com/gh/nipy/nipype/tree/master
.. image:: https://codecov.io/gh/nipy/nipype/branch/master/graph/badge.svg :target: https://codecov.io/gh/nipy/nipype
.. image:: https://www.codacy.com/project/badge/182f27944c51474490b369d0a23e2f32 :target: https://www.codacy.com/app/krzysztof-gorgolewski/nipy_nipype
.. image:: https://img.shields.io/pypi/v/nipype.svg :target: https://pypi.python.org/pypi/nipype/ :alt: Latest Version
.. image:: https://img.shields.io/pypi/pyversions/nipype.svg :target: https://pypi.python.org/pypi/nipype/ :alt: Supported Python versions
.. image:: https://img.shields.io/pypi/status/nipype.svg :target: https://pypi.python.org/pypi/nipype/ :alt: Development Status
.. image:: https://img.shields.io/pypi/l/nipype.svg :target: https://pypi.python.org/pypi/nipype/ :alt: License
.. image:: https://img.shields.io/badge/gitter-join%20chat%20%E2%86%92-brightgreen.svg?style=flat :target: http://gitter.im/nipy/nipype :alt: Chat
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:
Please see the doc/README.txt document for information on our
documentation.
Information specific to Nipype is located here::
http://nipy.org/nipype
If you have a problem or would like to ask a question about how to do something in Nipype please open an issue to
NeuroStars.org <http://neurostars.org>_ with a nipype tag. NeuroStars.org <http://neurostars.org>_ is a
platform similar to StackOverflow but dedicated to neuroinformatics.
To participate in the Nipype development related discussions please use the following mailing list::
http://mail.python.org/mailman/listinfo/neuroimaging
Please add [nipype] to the subject line when posting on the mailing list.
Currently Nipype consists of the following files and directories:
INSTALL NIPYPE prerequisites, installation, development, testing, and troubleshooting.
README This document.
THANKS NIPYPE developers and contributors. Please keep it up to date!!
LICENSE NIPYPE license terms.
doc/ Sphinx/reST documentation
examples/
nipype/ Contains the source code.
setup.py Script for building and installing NIPYPE.
We use the 3-clause BSD license; the full license is in the file LICENSE in
the nipype distribution.
There are interfaces to some GNU code but these are entirely optional.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2009-2015, NIPY Developers All rights reserved.
Content type
Image
Digest
Size
1.8 GB
Last updated
about 10 years ago
docker pull nipype/nipype_test