Package Health Score

73 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Sustainable

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Popularity

Small

GitHub Stars: 53
Forks: 34
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyAFQ, we found that it has been starred 53 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 10, 2024
Direct Vulnerabilities: 0
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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

BSD-2-Clause

Security Policy

We found a way for you to contribute to the project! Looks like pyAFQ is missing a security policy.

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Maintenance

Healthy

Commit Frequency

Open Issues: 101
Open PR: 16
Last Release: 28 days ago
Last Commit: 5 months ago

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

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

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

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

We found a way for you to contribute to the project! Looks like pyAFQ is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 5 years
Latest Release: 28 days ago
Dependencies: 6 Direct
Versions: 30
Maintainers: 1
Wheels: OS Independent

Readme

pyAFQ

Automated Fiber Quantification ... in Python.

For details, see Documentation

For further analysis of results, see AFQ-Insight

Citing pyAFQ

If you use pyAFQ in a scientific publication, please cite our paper:

Kruper, J., Yeatman, J. D., Richie-Halford, A., Bloom, D., Grotheer, M., Caffarra, S., Kiar, G., Karipidis, I. I., Roy, E., Chandio, B. Q., Garyfallidis, E., & Rokem, A. Evaluating the Reliability of Human Brain White Matter Tractometry. DOI:10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669

@article {Kruper2021-xb,
  title     = "Evaluating the reliability of human brain white matter
               tractometry",
  author    = "Kruper, John and Yeatman, Jason D and Richie-Halford, Adam and
               Bloom, David and Grotheer, Mareike and Caffarra, Sendy and Kiar,
               Gregory and Karipidis, Iliana I and Roy, Ethan and Chandio,
               Bramsh Q and Garyfallidis, Eleftherios and Rokem, Ariel",
  journal   = "Apert Neuro",
  publisher = "Organization for Human Brain Mapping",
  volume    =  1,
  number    =  1,
  month     =  nov,
  year      =  2021,
  doi       =  10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669,
}

pyAFQ dependencies

altair matplotlib pandas pillow pimms pydra

FAQs

What is pyAFQ?

pyAFQ: Automated Fiber Quantification ... in Python. Visit Snyk Advisor to see a full health score report for pyAFQ, including popularity, security, maintenance & community analysis.

Is pyAFQ popular?

The python package pyAFQ receives a total of 1,931 weekly downloads. As such, pyAFQ popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyAFQ well maintained?

We found that pyAFQ demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pyAFQ safe to use?

The python package pyAFQ 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 1 November-2024, at 03:15 (UTC).

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pyAFQ

pyAFQ: Automated Fiber Quantification ... in Python For more information about how to use this package see README

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pyAFQ

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pyAFQ dependencies

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Readme

pyAFQ

Citing pyAFQ

pyAFQ dependencies

FAQs

What is pyAFQ?

Is pyAFQ popular?

Is pyAFQ well maintained?

Is pyAFQ safe to use?

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Source Code

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