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Neuroimaging tools for Python.

The aim of NIPY is to produce a platform-independent Python environment forthe analysis of functional brain imaging data using an open development model.

In NIPY we aim to:

1. Provide an open source, mixed language scientific programming environmentsuitable for rapid development.
2. Create software components in this environment to make it easy to developtools for MRI, EEG, PET and other modalities.
3. Create and maintain a wide base of developers to contribute to thisplatform.
4. To maintain and develop this framework as a single, easily installablebundle.

NIPY is the work of many people. We list the main authors in the fileAUTHOR in the NIPY distribution, and other contributions inTHANKS.

Current information can always be found at theNIPY project website.

For questions on how to use nipy or on making code contributions, please seetheneuroimaging mailing list:

https://mail.python.org/mailman/listinfo/neuroimaging

Please report bugs at github issues:

https://github.com/nipy/nipy/issues

You can see the list of current proposed changes at:

https://github.com/nipy/nipy/pulls

You can find our sources and single-click downloads:

• Main repository on Github;
• Documentation for all releases and current development tree;
• Download thecurrent development version as a tar/zip file;
• Downloads of allavailable releases.

To run nipy's tests, you will need to install thenose Python testingpackage. If you are using Python 2.7, you will also need to install themocktesting package - e.g.:

pip install nose mock

Then:

python -c "import nipy; nipy.test()"

You can also run nipy's tests with thenipnost script in thetoolsdirectory of the nipy distribution:

./tools/nipnost nipy

nipnost is a thin wrapper around the standardnosetests program thatis part of the nose package. Trynipnost --help to see a large number ofcommand-line options.

See the latestinstallation instructions.

We use the 3-clause BSD license; the full license is in the fileLICENSE inthe nipy distribution.