tensorflow-metal

v1.1.0

TensorFlow acceleration for Mac GPUs. For more information about how to use this package see README

Latest version published 1 year ago
License: Apache-2.0

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Package Health Score

63 / 100

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Popularity

Recognized
GitHub Stars
186.19K
Forks
74.28K
Contributors
-

Direct Usage Popularity

TOP 30%

Based on project statistics from the GitHub repository for the PyPI package tensorflow-metal, we found that it has been starred 186,187 times.

Security

No known security issues
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1.1.0 (Latest)

Security and license risk for latest version

Release Date
Sep 29, 2023
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
Yes

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Maintenance

Inactive

Commit Frequency

Open Issues
1.47K
Open PR
4.07K
Last Release
1 year ago
Last Commit
2 months ago

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

An important project maintenance signal to consider for tensorflow-metal is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable
Readme
Yes
Contributing.md
Yes
Code of Conduct
Yes
Contributors
0
Funding
No

This project has seen only 10 or less contributors.


Embed Package Health Score Badge

package health: 63/100 package health 63/100

Package

Python Versions Compatibility
Unspecified

Age
4 years
Latest Release
1 year ago
Dependencies
2 Direct
Versions
15
Maintainers
4
Wheels
macOS