Package Health Score

88 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Active

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Popularity

Popular

GitHub Stars: 276
Forks: 150
Contributors: 90

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package numpydoc, we found that it has been starred 276 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Mar 28, 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

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Maintenance

Healthy

Commit Frequency

Open Issues: 80
Open PR: 14
Last Release: 29 days ago
Last Commit: 25 days ago

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

We found that numpydoc 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: No
Code of Conduct: Yes
Contributors: 90
Funding: Yes

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

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Package

Python Versions Compatibility: >=3.8

Age: 15 years
Latest Release: 29 days ago
Dependencies: 0 Direct
Versions: 29
Maintainers: 5
Wheels: OS Independent

Readme

numpydoc -- Numpy's Sphinx extensions

This package provides the numpydoc Sphinx extension for handling docstrings formatted according to the NumPy documentation format. The extension also adds the code description directives np:function, np-c:function, etc.

numpydoc requires Python 3.8+ and sphinx 5+.

For usage information, please refer to the documentation.

The numpydoc docstring guide explains how to write docs formatted for this extension, and the user guide explains how to use it with Sphinx.

FAQs

What is numpydoc?

Sphinx extension to support docstrings in Numpy format. Visit Snyk Advisor to see a full health score report for numpydoc, including popularity, security, maintenance & community analysis.

Is numpydoc popular?

The python package numpydoc receives a total of 197,367 weekly downloads. As such, numpydoc popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is numpydoc well maintained?

We found that numpydoc demonstrated a healthy version release cadence and project activity. It has a community of 90 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is numpydoc safe to use?

The python package numpydoc 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 26 April-2024, at 01:45 (UTC).

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numpydoc

Sphinx extension to support docstrings in Numpy format For more information about how to use this package see README

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Readme

numpydoc -- Numpy's Sphinx extensions

FAQs

What is numpydoc?

Is numpydoc popular?

Is numpydoc well maintained?

Is numpydoc safe to use?

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Package Health Score

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Readme

numpydoc -- Numpy's Sphinx extensions

FAQs

What is numpydoc?

Is numpydoc popular?

Is numpydoc well maintained?

Is numpydoc safe to use?

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Source Code

Open Source

Container

Config

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