Package Health Score

85 / 100

security
No known security issues
popularity
Influential project
maintenance
Healthy
community
Sustainable

Popularity

Influential project

GitHub Stars: 107
Forks: 50
Contributors: 2

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tensorflow-metadata, we found that it has been starred 107 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 9, 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

Healthy

Commit Frequency

No Recent Commits

Open Issues: 8
Open PR: 1
Last Release: 1 month ago
Last Commit: 1 month ago

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

We found that tensorflow-metadata 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.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 2
Funding: No

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: <4,>=3.9

Age: 7 years
Latest Release: 1 month ago
Dependencies: 0 Direct
Versions: 41
Maintainers: 2
Wheels: OS Independent

Readme

TensorFlow Metadata

TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow.

The metadata serialization formats include:

A schema describing tabular data (e.g., tf.Examples).
A collection of summary statistics over such datasets.
A problem statement quantifying the objectives of a model.

The metadata may be produced by hand or automatically during input data analysis, and may be consumed for data validation, exploration, and transformation.

FAQs

What is tensorflow-metadata?

Library and standards for schema and statistics. Visit Snyk Advisor to see a full health score report for tensorflow-metadata, including popularity, security, maintenance & community analysis.

Is tensorflow-metadata popular?

The python package tensorflow-metadata receives a total of 1,214,973 weekly downloads. As such, tensorflow-metadata popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tensorflow-metadata well maintained?

We found that tensorflow-metadata demonstrated a healthy version release cadence and project activity. It has a community of 2 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tensorflow-metadata safe to use?

The python package tensorflow-metadata 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 13 November-2024, at 13:44 (UTC).

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tensorflow-metadata

Library and standards for schema and statistics. 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

Commit Frequency

Community

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Package

Readme

TensorFlow Metadata

FAQs

What is tensorflow-metadata?

Is tensorflow-metadata popular?

Is tensorflow-metadata well maintained?

Is tensorflow-metadata safe to use?

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Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

TensorFlow Metadata

FAQs

What is tensorflow-metadata?

Is tensorflow-metadata popular?

Is tensorflow-metadata well maintained?

Is tensorflow-metadata safe to use?

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Source Code

Open Source

Container

Config

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