Package Health Score

64 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

Popularity

Small

GitHub Stars: 13.1K
Forks: 823
Contributors: 130

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package scikit-rough, we found that it has been starred 13,098 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 28, 2023
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

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

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Maintenance

Inactive

Commit Frequency

Open Issues: 19
Open PR: 9
Last Release: 1 year ago
Last Commit: 1 month ago

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

An important project maintenance signal to consider for scikit-rough is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: No
Contributors: 130
Funding: Yes

A good and healthy external contribution signal for scikit-rough project, which invites more than one hundred open source maintainers to collaborate on the repository.

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

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Package

Python Versions Compatibility: >=3.9,<4.0

Age: 2 years
Latest Release: 1 year ago
Dependencies: 8 Direct
Versions: 5
Maintainers: 0
Wheels: OS Independent

Readme

scikit-rough

scikit-rough is a Python package/toolbox of algorithms and functions for data analysis based on the rough set theory

Read scikit-rough documentation.

scikit-rough dependencies

attrs docstring-parser joblib more-itertools numba numpy pandas scikit-learn

FAQs

What is scikit-rough?

. Visit Snyk Advisor to see a full health score report for scikit-rough, including popularity, security, maintenance & community analysis.

Is scikit-rough popular?

The python package scikit-rough receives a total of 70 weekly downloads. As such, scikit-rough popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is scikit-rough well maintained?

We found indications that scikit-rough is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is scikit-rough safe to use?

The python package scikit-rough 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 24 December-2024, at 11:03 (UTC).

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scikit-rough

For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

scikit-rough

scikit-rough dependencies

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Package Health Score

Direct Usage Popularity

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Commit Frequency

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Snyk Vulnerability Scanner

Readme

scikit-rough

scikit-rough dependencies

FAQs

What is scikit-rough?

Is scikit-rough popular?

Is scikit-rough well maintained?

Is scikit-rough safe to use?

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Source Code

Open Source

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Config

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