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Metadata-Version: 1.1
Name: nibabel
Version: 1.2.2
Summary: Access a multitude of neuroimaging data formats
Home-page: http://nipy.org/nibabel
Author: Matthew Brett and Michael Hanke
Author-email: nipy-devel@neuroimaging.scipy.org
License: MIT license
Download-URL: http://github.com/nipy/nibabel/archives/master
Description: 
        =======
        NiBabel
        =======
        
        This package provides read and write access to some common medical and
        neuroimaging file formats, including: ANALYZE_ (plain, SPM99, SPM2),
        GIFTI_, NIfTI1_, MINC_, MGH_ and ECAT_ as well as PAR/REC. 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/
        .. _MINC: http://wiki.bic.mni.mcgill.ca/index.php/MINC
        .. _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
        .. _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 information can always be found at the NIPY nibabel website::
        
            http://nipy.org/nibabel
        
        Mailing Lists
        =============
        
        Please see the developer's list here::
        
            http://mail.scipy.org/mailman/listinfo/nipy-devel
        
        Code
        ====
        
        You can find our sources and single-click downloads:
        
        * `Main repository`_ on Github.
        * Documentation_ for all releases and current development tree.
        * Download as a tar/zip file the `current trunk`_.
        * Downloads of all `available releases`_.
        
        .. _main repository: http://github.com/nipy/nibabel
        .. _Documentation: http://nipy.org/nibabel
        .. _current trunk: http://github.com/nipy/nibabel/archives/master
        .. _available releases: http://github.com/nipy/nibabel/downloads
        
        License
        =======
        
        Nibabel is licensed under the terms of the MIT license. Some code included with
        nibabel is licensed under the BSD license.  Please the COPYING file in the
        nibabel distribution.
        
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
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 (>=1.2)
Provides: nibabel

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