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.. -- rest -- .. vim:syntax=rst
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.. Following contents should be copied from LONG_DESCRIPTION in nibabel/info.py
Read and write access to common neuroimaging file formats, including:
ANALYZE_ (plain, SPM99, SPM2 and later), GIFTI_, NIfTI1_, NIfTI2_, CIFTI-2
,
MINC1, MINC2_, AFNI BRIK/HEAD
, ECAT and Philips PAR/REC.
In addition, NiBabel also supports FreeSurfer_'s MGH_, geometry, annotation and
morphometry files, and provides some limited support for DICOM_.
NiBabel's API gives full or selective access to header information (metadata),
and image data is made available via NumPy arrays. For more information, see
NiBabel's documentation site
_ and API reference
_.
.. _API reference: https://nipy.org/nibabel/api.html .. _AFNI BRIK/HEAD: https://afni.nimh.nih.gov/pub/dist/src/README.attributes .. _ANALYZE: http://www.grahamwideman.com/gw/brain/analyze/formatdoc.htm .. _CIFTI-2: https://www.nitrc.org/projects/cifti/ .. _DICOM: http://medical.nema.org/ .. _documentation site: http://nipy.org/nibabel .. _ECAT: http://xmedcon.sourceforge.net/Docs/Ecat .. _Freesurfer: https://surfer.nmr.mgh.harvard.edu .. _GIFTI: https://www.nitrc.org/projects/gifti .. _MGH: https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/MghFormat .. _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 .. _NIfTI1: http://nifti.nimh.nih.gov/nifti-1/ .. _NIfTI2: http://nifti.nimh.nih.gov/nifti-2/
To install NiBabel's current release
_ with pip
, run::
pip install nibabel
To install the latest development version, run::
pip install git+https://github.com/nipy/nibabel
When working on NiBabel itself, it may be useful to install in "editable" mode::
git clone https://github.com/nipy/nibabel.git pip install -e ./nibabel
For more information on previous releases, see the release archive
_ or
development changelog
_.
.. _current release: https://pypi.python.org/pypi/NiBabel .. _release archive: https://github.com/nipy/NiBabel/releases .. _development changelog: https://nipy.org/nibabel/changelog.html
During development, we recommend using tox_ to run nibabel tests::
git clone https://github.com/nipy/nibabel.git
cd nibabel
tox
To test an installed version of nibabel, install the test dependencies and run pytest_::
pip install nibabel[test]
pytest --pyargs nibabel
For more information, consult the developer guidelines
_.
.. _tox: https://tox.wiki .. _pytest: https://docs.pytest.org .. _developer guidelines: https://nipy.org/nibabel/devel/devguide.html
Please send any questions or suggestions to the neuroimaging mailing list <https://mail.python.org/mailman/listinfo/neuroimaging>
_.
NiBabel is licensed under the terms of the MIT license <https://github.com/nipy/nibabel/blob/master/COPYING#nibabel>
__.
Some code included with NiBabel is licensed under the BSD license
.
For more information, please see the COPYING file.
.. _BSD license: https://opensource.org/licenses/BSD-3-Clause .. _COPYING: https://github.com/nipy/nibabel/blob/master/COPYING
NiBabel releases have a Zenodo_ Digital Object Identifier
_ (DOI) badge at
the top of the release notes. Click on the badge for more information.
.. _Digital Object Identifier: https://en.wikipedia.org/wiki/Digital_object_identifier .. _zenodo: https://zenodo.org
FAQs
Access a multitude of neuroimaging data formats
We found that nibabel demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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