causalml

v0.15.1

Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms For more information about how to use this package see README

Latest version published 1 month ago
License: Apache-2.0

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Package Health Score

90 / 100

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Popularity

Popular
GitHub Stars
4.81K
Forks
752
Contributors
60

Direct Usage Popularity

Occasionally

Based on project statistics from the GitHub repository for the PyPI package causalml, we found that it has been starred 4,811 times.

Security

No known security issues
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0.15.1 (Latest)

Security and license risk for latest version

Release Date
Apr 19, 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
Yes

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Maintenance

Healthy

Commit Frequency

Open Issues
54
Open PR
2
Last Release
1 month ago
Last Commit
17 days ago

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

We found that causalml 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
60
Funding
No

With more than 10 contributors for the causalml repository, this is possibly a sign for a growing and inviting community.


Embed Package Health Score Badge

package health: 90/100 package health 90/100

Package

Python Versions Compatibility
>=3.7

Age
5 years
Latest Release
1 month ago
Dependencies
13 Direct
Versions
24
Maintainers
4
Wheels
Linux, macOS, Windows