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Name: nipy
Version: 0.4.2
Summary: A python package for analysis of neuroimaging data
Home-page: http://nipy.org/nipy
Author: nipy developers
Author-email: neuroimaging@python.org
License: BSD license
Download-URL: http://github.com/nipy/nipy/archives/master
Description:
====
NIPY
====
Neuroimaging tools for Python.
The aim of NIPY is to produce a platform-independent Python environment for
the 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 environment
suitable for rapid development.
2. Create software components in this environment to make it easy to develop
tools for MRI, EEG, PET and other modalities.
3. Create and maintain a wide base of developers to contribute to this
platform.
4. To maintain and develop this framework as a single, easily installable
bundle.
NIPY is the work of many people. We list the main authors in the file
``AUTHOR`` in the NIPY distribution, and other contributions in ``THANKS``.
Website
=======
Current information can always be found at the `NIPY project website
<http://nipy.org/nipy>`_.
Mailing Lists
=============
For questions on how to use nipy or on making code contributions, please see
the ``neuroimaging`` 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
Code
====
You can find our sources and single-click downloads:
* `Main repository`_ on Github;
* Documentation_ for all releases and current development tree;
* Download the `current development version`_ as a tar/zip file;
* Downloads of all `available releases`_.
.. _main repository: https://github.com/nipy/nipy
.. _Documentation: http://nipy.org/nipy
.. _current development version: https://github.com/nipy/nipy/archive/master.zip
.. _available releases: http://pypi.python.org/pypi/nipy
Tests
=====
To run nipy's tests, you will need to install the nose_ Python testing
package. If you are using Python 2.7, you will also need to install the mock_
testing package - e.g.::
pip install nose mock
Then::
python -c "import nipy; nipy.test()"
You can also run nipy's tests with the ``nipnost`` script in the ``tools``
directory of the nipy distribution::
./tools/nipnost nipy
``nipnost`` is a thin wrapper around the standard ``nosetests`` program that
is part of the nose package. Try ``nipnost --help`` to see a large number of
command-line options.
Installation
============
See the latest `installation instructions`_.
License
=======
We use the 3-clause BSD license; the full license is in the file ``LICENSE`` in
the nipy distribution.
.. links:
.. _python: http://python.org
.. _numpy: http://numpy.scipy.org
.. _scipy: http://www.scipy.org
.. _sympy: http://sympy.org
.. _nibabel: http://nipy.org/nibabel
.. _ipython: http://ipython.org
.. _matplotlib: http://matplotlib.org
.. _nose: http://nose.readthedocs.org/en/latest
.. _mock: https://pypi.python.org/pypi/mock
.. _installation instructions: http://nipy.org/nipy/users/installation.html
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires: numpy
Requires: scipy
Requires: sympy
Requires: nibabel
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