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nlsq vulnerabilities

GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
Licenses: MIT | (BSD-3-Clause OR MIT)
Published: 2 months ago Last updated: 2 days ago Latest version: 0.6.2 Latest non-vulnerable version: 0.6.2
pip
GitHub

Package Health Score

64/100
  • securityNo known security issues
  • popularityLimited
  • maintenanceHealthy
  • communityLimited

Maintenance

HEALTHY

Commit Frequency

No commits over the last 6 months

Open Issues
0
Open PR
0
New PRS
0
Last Release
2 days ago
Last Commit
2 days ago
Maintainers
3

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

We found that nlsq 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.

Popularity

LIMITED
GitHub Stars
1
Forks
0
Contributors
3

Based on project statistics from the GitHub repository for the PyPI package nlsq, we found that it has been starred 1 times.

Community

LIMITED
Readme
Yes
Contributing.md
Yes
Code of Conduct
No
Contributors
3
Funding
No
LICENSE
Unrecognized

This project has seen only 10 or less contributors.

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

License

MIT[0.1.6,0.6.0);
(BSD-3-Clause OR MIT)[0.6.0,);
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Direct Vulnerabilities

Known vulnerabilities in the nlsq package. 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

No vulnerabilities found in the latest version

There are 1 total vulnerabilities, but none affect the latest version (0.6.2)

Package versions

18 VERSIONS IN TOTAL See all versions
versionpublisheddirect vulnerabilities
0.6.29 Jan, 2026
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0.6.19 Jan, 2026
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0.6.07 Jan, 2026
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0.5.45 Jan, 2026
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0.4.230 Dec, 2025
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0.4.125 Dec, 2025
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0.4.024 Dec, 2025
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0.3.924 Dec, 2025
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0.3.824 Dec, 2025
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0.3.723 Dec, 2025
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