Package Health Score

91 / 100

security
No known security issues
popularity
Influential project
maintenance
Healthy
community
Active

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Popularity

Influential project

GitHub Stars: 658
Forks: 259
Contributors: 100

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nibabel, we found that it has been starred 658 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 23, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 108
Open PR: 27
Last Release: 2 months ago
Last Commit: 15 days ago

Further analysis of the maintenance status of nibabel based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that nibabel demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 100
Funding: No

With more than 10 contributors for the nibabel repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.9

Age: 14 years
Latest Release: 2 months ago
Dependencies: 0 Direct
Versions: 45
Maintainers: 0
Wheels: OS Independent

Not sure how to use nibabel?

To help you get started, we've collected the most common ways that nibabel is being used within popular public projects.

nipy / dipy / 1.0.0 / _downloads / e9d79d89e545a2e65e6b29151ae27c1e / snr_in_cc.py View on Github

mins = np.array(mins)
maxs = np.array(maxs)
diff = (maxs - mins) // 4
bounds_min = mins + diff
bounds_max = maxs - diff

CC_box[bounds_min[0]:bounds_max[0],
       bounds_min[1]:bounds_max[1],
       bounds_min[2]:bounds_max[2]] = 1

mask_cc_part, cfa = segment_from_cfa(tensorfit, CC_box, threshold,
                                     return_cfa=True)

cfa_img = nib.Nifti1Image((cfa*255).astype(np.uint8), affine)
mask_cc_part_img = nib.Nifti1Image(mask_cc_part.astype(np.uint8), affine)
nib.save(mask_cc_part_img, 'mask_CC_part.nii.gz')

import matplotlib.pyplot as plt
region = 40
fig = plt.figure('Corpus callosum segmentation')
plt.subplot(1, 2, 1)
plt.title("Corpus callosum (CC)")
plt.axis('off')
red = cfa[..., 0]
plt.imshow(np.rot90(red[region, ...]))

plt.subplot(1, 2, 2)
plt.title("CC mask used for SNR computation")
plt.axis('off')
plt.imshow(np.rot90(mask_cc_part[region, ...]))
fig.savefig("CC_segmentation.png", bbox_inches='tight')

View more ways to use nibabel

Code	.. image:: https://img.shields.io/pypi/pyversions/nibabel.svg :target: https://pypi.python.org/pypi/nibabel/ :alt: PyPI - Python Version .. image:: https://img.shields.io/badge/code%20style-blue-blue.svg :target: https://blue.readthedocs.io/en/latest/ :alt: code style: blue .. image:: https://img.shields.io/badge/imports-isort-1674b1 :target: https://pycqa.github.io/isort/ :alt: imports: isort .. image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white :target: https://github.com/pre-commit/pre-commit :alt: pre-commit
Tests	.. image:: https://github.com/nipy/NiBabel/actions/workflows/stable.yml/badge.svg :target: https://github.com/nipy/NiBabel/actions/workflows/stable.yml :alt: stable tests .. image:: https://codecov.io/gh/nipy/NiBabel/branch/master/graph/badge.svg :target: https://codecov.io/gh/nipy/NiBabel :alt: codecov badge
PyPI	.. image:: https://img.shields.io/pypi/v/nibabel.svg :target: https://pypi.python.org/pypi/nibabel/ :alt: PyPI version .. image:: https://img.shields.io/pypi/dm/nibabel.svg :target: https://pypistats.org/packages/nibabel :alt: PyPI - Downloads
Packages	.. image:: https://img.shields.io/conda/vn/conda-forge/nibabel :target: https://anaconda.org/conda-forge/nibabel :alt: Conda package .. image:: https://repology.org/badge/version-for-repo/debian_unstable/nibabel.svg?header=Debian%20Unstable :target: https://repology.org/project/nibabel/versions :alt: Debian Unstable package .. image:: https://repology.org/badge/version-for-repo/aur/python:nibabel.svg?header=Arch%20%28%41%55%52%29 :target: https://repology.org/project/python:nibabel/versions :alt: Arch (AUR) .. image:: https://repology.org/badge/version-for-repo/gentoo_ovl_science/nibabel.svg?header=Gentoo%20%28%3A%3Ascience%29 :target: https://repology.org/project/nibabel/versions :alt: Gentoo (::science) .. image:: https://repology.org/badge/version-for-repo/nix_unstable/python:nibabel.svg?header=nixpkgs%20unstable :target: https://repology.org/project/python:nibabel/versions :alt: nixpkgs unstable
License & DOI	.. image:: https://img.shields.io/pypi/l/nibabel.svg :target: https://github.com/nipy/nibabel/blob/master/COPYING :alt: License .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.591597.svg :target: https://doi.org/10.5281/zenodo.591597 :alt: 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.

FAQs

What is nibabel?

Access a multitude of neuroimaging data formats. Visit Snyk Advisor to see a full health score report for nibabel, including popularity, security, maintenance & community analysis.

Is nibabel popular?

The python package nibabel receives a total of 181,905 weekly downloads. As such, nibabel popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nibabel well maintained?

We found that nibabel demonstrated a healthy version release cadence and project activity. It has a community of 100 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is nibabel safe to use?

The python package nibabel was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 December-2024, at 11:04 (UTC).

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nibabel

Access a multitude of neuroimaging data formats For more information about how to use this package see README

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Package

Not sure how to use nibabel?

Installation

Testing

Mailing List

License

Citation

FAQs

What is nibabel?

Is nibabel popular?

Is nibabel well maintained?

Is nibabel safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Not sure how to use nibabel?

Installation

Testing

Mailing List

License

Citation

FAQs

What is nibabel?

Is nibabel popular?

Is nibabel well maintained?

Is nibabel safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues