View tensorflow-privacy on Snyk Open Source Advisor

Package Health Score

77 / 100

security
No known security issues
popularity
Recognized
maintenance
Sustainable
community
Active

Popularity

Recognized

GitHub Stars: 1.94K
Forks: 453
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tensorflow-privacy, we found that it has been starred 1,943 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Feb 14, 2024
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

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 89
Open PR: 36
Last Release: 9 months ago
Last Commit: 28 days ago

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

We found that tensorflow-privacy demonstrates a positive version release cadence with at least one new version released in the past 12 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: Yes
Code of Conduct: No
Contributors: 60
Funding: No

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

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

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Package

Python Versions Compatibility: >=3.9.0,<3.12

Age: 5 years
Latest Release: 9 months ago
Dependencies: 10 Direct
Versions: 31
Maintainers: 6
Wheels: OS Independent

Readme

A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy.

tensorflow-privacy dependencies

absl-py dm-tree dp-accounting numpy packaging scikit-learn scipy tensorflow tensorflow-estimator tensorflow-probability

FAQs

What is tensorflow-privacy?

A privacy-focused machine learning framework. Visit Snyk Advisor to see a full health score report for tensorflow-privacy, including popularity, security, maintenance & community analysis.

Is tensorflow-privacy popular?

The python package tensorflow-privacy receives a total of 5,132 weekly downloads. As such, tensorflow-privacy popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tensorflow-privacy well maintained?

We found indications that tensorflow-privacy maintenance is sustainable demonstrating some project activity. We saw a total of 60 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tensorflow-privacy safe to use?

The python package tensorflow-privacy 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 22 November-2024, at 12:09 (UTC).

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tensorflow-privacy

A privacy-focused machine learning framework For more information about how to use this package see README

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Package Health Score

Popularity

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Security

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Maintenance

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Community

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Package

Readme

tensorflow-privacy dependencies

FAQs

What is tensorflow-privacy?

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Is tensorflow-privacy well maintained?

Is tensorflow-privacy safe to use?

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Package Health Score

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Readme

tensorflow-privacy dependencies

FAQs

What is tensorflow-privacy?

Is tensorflow-privacy popular?

Is tensorflow-privacy well maintained?

Is tensorflow-privacy safe to use?

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Source Code

Open Source

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