bigdl-orca

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

Popularity

Recognized
GitHub Stars
6.66K
Forks
1.26K
Contributors
110

Direct Usage Popularity


Based on project statistics from the GitHub repository for the PyPI package bigdl-orca, we found that it has been starred 6,659 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
993
Open PR
278
Last Release
12 months ago
Last Commit
7 days ago

Further analysis of the maintenance status of bigdl-orca 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 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.

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
No
Code of Conduct
No
Contributors
110
Funding
No

A good and healthy external contribution signal for bigdl-orca 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 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
121
Maintainers
1
Wheels
Linux, macOS