Skip to main content

Access a multitude of neuroimaging data formats

Project description

https://codecov.io/gh/nipy/nibabel/branch/master/graph/badge.svg https://zenodo.org/badge/DOI/10.5281/zenodo.591597.svg

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, CIFTI-2, MINC1, MINC2, AFNI BRIK/HEAD, MGH and ECAT as well as Philips PAR/REC. We can read and write FreeSurfer geometry, annotation and morphometry files. There is some very limited support for DICOM. NiBabel is the successor of PyNIfTI.

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.

Mailing Lists

Please send any questions or suggestions to the neuroimaging mailing list.

Code

Install nibabel with:

pip install nibabel

You may also be interested in:

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.

Citing nibabel

Please see the available releases for the release of nibabel that you are using. Recent releases have a Zenodo Digital Object Identifier badge at the top of the release notes. Click on the badge for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nibabel-5.0.0.tar.gz (4.5 MB view details)

Uploaded Source

Built Distribution

nibabel-5.0.0-py3-none-any.whl (3.3 MB view details)

Uploaded Python 3

File details

Details for the file nibabel-5.0.0.tar.gz.

File metadata

  • Download URL: nibabel-5.0.0.tar.gz
  • Upload date:
  • Size: 4.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for nibabel-5.0.0.tar.gz
Algorithm Hash digest
SHA256 e910ce6f3374e79fa49847abfb9db99d435844ae7781375aa952d6a8bd047ade
MD5 ee6fb9a0aa846d1a1bbcd719cbafc6f0
BLAKE2b-256 5aebd73473f02b605223f63953e5d6eecb13c6bceb0a99a214830fc695cdbd3c

See more details on using hashes here.

File details

Details for the file nibabel-5.0.0-py3-none-any.whl.

File metadata

  • Download URL: nibabel-5.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for nibabel-5.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f8a4d08890cd95a7351c169e4ce69133b1292da24c6d0b42175c502f2534a21c
MD5 185818d910e29e21d975c406d80a4670
BLAKE2b-256 b6c7c5d94402bb32898af084df933adab8c3a2b35986382680aa8a6b1ccd18b7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page