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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.
8.0k 1.0k +1/wk
GitHub
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects
Trend
3
Star & Fork Trend (24 data points)
Stars
Forks
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Growth Velocity
py-why/dowhy has +1 stars this period . 7-day velocity: 0.1%.
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| Metric | dowhy | cortex | Machine-Learning-Interviews | boxmot |
|---|---|---|---|---|
| Stars | 8.0k | 8.0k | 8.0k | 8.1k |
| Forks | 1.0k | 596 | 1.4k | 1.9k |
| Weekly Growth | +1 | -1 | +1 | +4 |
| Language | Python | Go | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | AGPL-3.0 |
Capability Radar vs cortex
dowhy
cortex
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 63
Fork-to-star ratio: 12.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 41
+1 stars this period — 0.01% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.