Metadata-Version: 2.0
Name: nibabel
Version: 2.0.0
Summary: Access a multitude of neuroimaging data formats
Home-page: http://nipy.org/nibabel
Author: Matthew Brett, Michael Hanke and Eric Larson
Author-email: nipy-devel@neuroimaging.scipy.org
License: MIT license
Download-URL: http://github.com/nipy/nibabel
Platform: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires: numpy (>=1.5)
Provides: nibabel
Provides: nisext
Provides-Extra: test
Requires-Dist: nose (>=0.10.1); extra == 'test'
Provides-Extra: doc
Requires-Dist: Sphinx (>=0.3); extra == 'doc'

=======
NiBabel
=======

Read / write access to some common neuroimaging file formats

This package provides read +/- write access to some common medical and
neuroimaging file formats, including: ANALYZE_ (plain, SPM99, SPM2 and later),
GIFTI_, NIfTI1_, NIfTI2_, MINC1_, MINC2_, MGH_ and ECAT_ as well as Philips
PAR/REC.  We can read and write Freesurfer_ geometry, and read Freesurfer
morphometry and annotation files.  There is some very limited support for
DICOM_.  NiBabel is the successor of PyNIfTI_.

.. _ANALYZE: http://www.grahamwideman.com/gw/brain/analyze/formatdoc.htm
.. _NIfTI1: http://nifti.nimh.nih.gov/nifti-1/
.. _NIfTI2: http://nifti.nimh.nih.gov/nifti-2/
.. _MINC1:
    https://en.wikibooks.org/wiki/MINC/Reference/MINC1_File_Format_Reference
.. _MINC2:
    https://en.wikibooks.org/wiki/MINC/Reference/MINC2.0_File_Format_Reference
.. _PyNIfTI: http://niftilib.sourceforge.net/pynifti/
.. _GIFTI: http://www.nitrc.org/projects/gifti
.. _MGH: http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/MghFormat
.. _ECAT: http://xmedcon.sourceforge.net/Docs/Ecat
.. _Freesurfer: http://surfer.nmr.mgh.harvard.edu
.. _DICOM: http://medical.nema.org/

The various image format classes give full or selective access to header (meta)
information and access to the image data is made available via NumPy arrays.

Website
=======

Current documentation on nibabel can always be found at the `NIPY nibabel
website <http://nipy.org/nibabel>`_.

Mailing Lists
=============

Please see the `nipy devel list
<http://mail.scipy.org/mailman/listinfo/nipy-devel>`_. The nipy devel list is
fine for user and developer questions about nibabel.

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 release`_ from pypi;
* Download `current development version`_ as a zip file;
* Downloads of all `available releases`_.

.. _main repository: http://github.com/nipy/nibabel
.. _Documentation: http://nipy.org/nibabel
.. _current release: https://pypi.python.org/pypi/nibabel
.. _current development version: https://github.com/nipy/nibabel/archive/master.zip
.. _available releases: https://github.com/nipy/nibabel/releases

License
=======

Nibabel is licensed under the terms of the MIT license. Some code included with
nibabel is licensed under the BSD license.  Please see the COPYING file in the
nibabel distribution.


