View tensorflow-cpu on Snyk Open Source Advisor

Package Health Score

97 / 100

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

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Popularity

Influential project

GitHub Stars: 186.82K
Forks: 74.37K
Contributors: 410

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tensorflow-cpu, we found that it has been starred 186,823 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 25, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 996
Open PR: 5.08K
Last Release: 2 months ago
Last Commit: 13 days ago

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

We found that tensorflow-cpu 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 410
Funding: No

A good and healthy external contribution signal for tensorflow-cpu project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.9

Age: 5 years
Latest Release: 2 months ago
Dependencies: 2 Direct
Versions: 87
Maintainers: 3
Wheels: Linux, Windows

Readme

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. TensorFlow is licensed under Apache 2.0.

tensorflow-cpu dependencies

packaging setuptools

FAQs

What is tensorflow-cpu?

TensorFlow is an open source machine learning framework for everyone. Visit Snyk Advisor to see a full health score report for tensorflow-cpu, including popularity, security, maintenance & community analysis.

Is tensorflow-cpu popular?

The python package tensorflow-cpu receives a total of 349,840 weekly downloads. As such, tensorflow-cpu popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tensorflow-cpu well maintained?

We found that tensorflow-cpu demonstrated a healthy version release cadence and project activity. It has a community of 410 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tensorflow-cpu safe to use?

The python package tensorflow-cpu 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 27 December-2024, at 01:08 (UTC).

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tensorflow-cpu

TensorFlow is an open source machine learning framework for everyone. For more information about how to use this package see README

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tensorflow-cpu dependencies

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Readme

tensorflow-cpu dependencies

FAQs

What is tensorflow-cpu?

Is tensorflow-cpu popular?

Is tensorflow-cpu well maintained?

Is tensorflow-cpu safe to use?

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Source Code

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