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ml-dtypes vulnerabilities

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.
Licenses: Apache-2.0
Published: 2 years ago Last updated: 11 days ago Latest version: 0.5.4 Latest non-vulnerable version: 0.5.4
pip
GitHub

Package Health Score

88/100
  • securityNo known security issues
  • popularityInfluential project
  • maintenanceHealthy
  • communitySustainable

Maintenance

HEALTHY

Commit Frequency

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Open Issues
29
Open PR
6
New PRS
1
Last Release
11 days ago
Last Commit
3 days ago
Maintainers
2

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

We found that ml-dtypes 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

INFLUENTIAL PROJECT
GitHub Stars
312
Forks
50
Contributors
0

Based on project statistics from the GitHub repository for the PyPI package ml-dtypes, we found that it has been starred 312 times.

Community

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

This project has seen only 10 or less contributors.

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

License

Apache-2.0[0,);
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Direct Vulnerabilities

No direct vulnerabilities have been found for this package in Snyk’s vulnerability database. This does not include vulnerabilities belonging to this package’s dependencies.

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Security

NO KNOWN SECURITY ISSUES
Show only direct vulnerabilities in latest version

No vulnerabilities found in the latest version

No vulnerabilities found

Package versions

18 VERSIONS IN TOTAL See all versions
versionpublisheddirect vulnerabilities
0.5.417 Nov, 2025
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0.5.329 Jul, 2025
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0.5.17 Jan, 2025
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0.5.013 Sep, 2024
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0.4.113 Sep, 2024
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0.4.01 Apr, 2024
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0.4.0b112 Mar, 2024
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0.3.23 Jan, 2024
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0.3.122 Sep, 2023
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0.3.019 Sep, 2023
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