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#causal-models (3 Repositories)

Ranked open-source repositories tagged with #causal-models, scored by pull request acceptance likelihood and maintainer engagement velocity.

Topic Avg Merge Rate

51.6%

Avg Review Latency

136.1h

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3 repositories tagged #causal-models

B TierPython 3.3k 16 GFIs

pgmpy/pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

85.7%
Merge Rate
11d
First Review
50%
1st-Timers
1
Maintainers
B TierPython 8.3k

py-why/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

69.0%
Merge Rate
6d
First Review
86%
1st-Timers
9
Maintainers
D TierJUJupyter Notebook 642

erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
Best Causal-models Open Source Repositories & C-Rank™ | GetMerged