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mlflow-skinny

MLflow is an open source platform for the complete machine learning lifecycle
Licenses: Apache-2.0
Published: 5 years ago Last updated: 15 days ago Latest version: 3.12.0
pip
GitHub

Package Health Score

67/100
  • securitySecurity issues found
  • popularityKey ecosystem project
  • maintenanceSustainable
  • communityActive

Maintenance

SUSTAINABLE

Commit Frequency

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Open Issues
1516
Open PR
561
New PRS
1
Last Release
15 days ago
Last Commit
13 hours ago
Maintainers
1

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

We found that mlflow-skinny 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.

Popularity

KEY ECOSYSTEM PROJECT
GitHub Stars
26.0k
Forks
5.8k
Contributors
0

Based on project statistics from the GitHub repository for the PyPI package mlflow-skinny, we found that it has been starred 26,018 times.

Community

ACTIVE
Readme
Yes
Contributing.md
Yes
Code of Conduct
Yes
Contributors
0
Funding
No
LICENSE
Apache-2.0

This project has seen only 10 or less contributors.

License

Apache-2.0[0,);
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Direct Vulnerabilities

Known vulnerabilities in the mlflow-skinny package. This does not include vulnerabilities belonging to this package’s dependencies.

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Security

SECURITY ISSUES FOUND
Show only direct vulnerabilities in latest version
VulnerabilityVulnerable Version
  • C
Use of Default Credentials

[2.3.2,)
  • C
Missing Authentication for Critical Function

[0,)

Package versions

139 VERSIONS IN TOTAL See all versions
versionpublisheddirect vulnerabilities
3.12.05 May, 2026
  • 2
    C
  • 0
    H
  • 0
    M
  • 0
    L
3.11.17 Apr, 2026
  • 2
    C
  • 0
    H
  • 0
    M
  • 0
    L
3.11.07 Apr, 2026
  • 2
    C
  • 0
    H
  • 0
    M
  • 0
    L
3.11.0rc11 Apr, 2026
  • 2
    C
  • 0
    H
  • 0
    M
  • 0
    L
3.11.0rc016 Mar, 2026
  • 2
    C
  • 2
    H
  • 3
    M
  • 0
    L
3.10.15 Mar, 2026
  • 2
    C
  • 2
    H
  • 3
    M
  • 0
    L
3.10.020 Feb, 2026
  • 2
    C
  • 2
    H
  • 3
    M
  • 0
    L
3.10.0rc012 Feb, 2026
  • 2
    C
  • 5
    H
  • 3
    M
  • 0
    L
3.9.029 Jan, 2026
  • 2
    C
  • 5
    H
  • 3
    M
  • 0
    L
3.9.0rc016 Jan, 2026
  • 2
    C
  • 5
    H
  • 2
    M
  • 0
    L