Public | Automated Build

Last pushed: a year ago
Short Description
Docker images for continuous integration services
Full Description

========================================================

NIPYPE: Neuroimaging in Python: Pipelines and Interfaces

.. 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:

  • 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

Documentation

Please see the doc/README.txt document for information on our
documentation.

Website

Information specific to Nipype is located here::

http://nipy.org/nipype

Support and Communication

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.

Nipype structure

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.

License information

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.

Docker Pull Command
Owner
nipype
Source Repository