Access a multitude of neuroimaging data formats

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for cjmarkie from gravatar.com cjmarkie Avatar for matthew.brett from gravatar.com matthew.brett

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: NiBabel developers
  • Maintainer: Christopher Markiewicz
  • Requires: Python >=3.9
  • Provides-Extra: all, dev, dicom, dicomfs, doc, doctest, minc2, spm, style, test, typing, zstd
Classifiers

Project description

NiBabel logo

Code

 PyPI - Python Version code style: blue imports: isort pre-commit

Tests

 stable tests codecov badge

PyPI

 PyPI version PyPI - Downloads

Packages

 Conda package Debian Unstable package Arch (AUR) Gentoo (::science) nixpkgs unstable

License & DOI

 License Zenodo DOI

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.

Installation

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.

Testing

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.

Mailing List

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

License

NiBabel is licensed under the terms of the MIT license. Some code included with NiBabel is licensed under the BSD license. For more information, please see the COPYING file.

Citation

NiBabel releases have a Zenodo Digital Object Identifier (DOI) badge at the top of the release notes. Click on the badge for more information.

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for cjmarkie from gravatar.com cjmarkie Avatar for matthew.brett from gravatar.com matthew.brett

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: NiBabel developers
  • Maintainer: Christopher Markiewicz
  • Requires: Python >=3.9
  • Provides-Extra: all, dev, dicom, dicomfs, doc, doctest, minc2, spm, style, test, typing, zstd
Classifiers

Release history Release notifications | RSS feed

5.3.2

This version

5.3.1

5.3.0

5.2.1

5.2.0

5.1.0

5.0.1

5.0.0

4.0.2

4.0.1

4.0.0

4.0.0rc0 pre-release

3.2.2

3.2.1

3.2.0

3.1.1

3.1.0

3.0.2

3.0.1

3.0.0

3.0.0rc2 pre-release

3.0.0rc1 pre-release

2.5.2

2.5.1

2.5.0

2.4.1

2.4.0

2.3.3

2.3.2

2.3.1

2.3.0

2.2.1

2.2.0

2.1.0

2.0.2

2.0.1

2.0.0

1.3.0

1.2.2

1.2.1

1.2.0

1.1.0

1.0.2

1.0.1

1.0.0

Download files

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

Source Distribution

nibabel-5.3.1.tar.gz (4.5 MB view details)

Uploaded Source

Built Distribution

nibabel-5.3.1-py3-none-any.whl (3.3 MB view details)

Uploaded Python 3

File details

Details for the file nibabel-5.3.1.tar.gz.

File metadata

  • Download URL: nibabel-5.3.1.tar.gz
  • Upload date:
  • Size: 4.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for nibabel-5.3.1.tar.gz
Algorithm Hash digest
SHA256 aec1b75dcf6bd9595a9196ff341b87957c69fb21bc5e38719463478dad83000a
MD5 fa5233039ff3957bb3b66fad7eb72a02
BLAKE2b-256 ae7bcef34cc5adb9e9e1a1ba5026c1ef6770b807277acd4e2097f9f69c945b2b

See more details on using hashes here.

File details

Details for the file nibabel-5.3.1-py3-none-any.whl.

File metadata

  • Download URL: nibabel-5.3.1-py3-none-any.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for nibabel-5.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5c04c7139d41a59ef92839f1cabbe73061edd5787340bf2c9a34ed71f0db9d07
MD5 97319a2bc42b37b2ee3699b220663d67
BLAKE2b-256 8f523057e5b0dcb88f472594c314201172f1c8386eace3255944096784a3d9dc

See more details on using hashes here.

Supported by

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