bigdl-orca-spark3

v2.4.0

Seamlessly scale out TensorFlow and PyTorch for Big Data (using Spark & Ray) For more information about how to use this package see README

Latest version published 12 months ago
License: Apache-2.0

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Package Health Score

68 / 100

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Popularity

Recognized
GitHub Stars
6.5K
Forks
1.24K
Contributors
110

Direct Usage Popularity


Based on project statistics from the GitHub repository for the PyPI package bigdl-orca-spark3, we found that it has been starred 6,505 times.

Security

Security review needed
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2.4.0 (Latest)

Security and license risk for latest version

Release Date
Nov 9, 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

Sustainable

Commit Frequency

Open Issues
961
Open PR
262
Last Release
12 months ago
Last Commit
2 months ago

Further analysis of the maintenance status of bigdl-orca-spark3 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

An important project maintenance signal to consider for bigdl-orca-spark3 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

Active
Readme
Yes
Contributing.md
No
Code of Conduct
No
Contributors
110
Funding
No

A good and healthy external contribution signal for bigdl-orca-spark3 project, which invites more than one hundred open source maintainers to collaborate on the repository.

We found a way for you to contribute to the project! Looks like bigdl-orca-spark3 is missing a Code of Conduct.


Embed Package Health Score Badge

package health: 68/100 package health 68/100

Package

Python Versions Compatibility
==3.6.*, ==3.7.*

Age
3 years
Latest Release
8 months ago
Dependencies
6 Direct / 13 Total
Versions
91
Maintainers
1
Wheels
Linux, macOS