CA
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
5.8k 856 +1/wk
GitHub
causal-inference incubation machine-learning uplift-modeling
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
uber/causalml has +1 stars this period . 7-day velocity: 0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | causalml | river | projectlearn-project-based-learning | t81_558_deep_learning |
|---|---|---|---|---|
| Stars | 5.8k | 5.8k | 5.7k | 5.7k |
| Forks | 856 | 614 | 516 | 3.0k |
| Weekly Growth | +1 | +0 | +1 | +0 |
| Language | Python | Python | TypeScript | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | BSD-3-Clause | MIT | NOASSERTION |
Capability Radar vs river
causalml
river
Maintenance Activity 93
Last code push 19 days ago.
Community Engagement 74
Fork-to-star ratio: 14.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 41
+1 stars this period — 0.02% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.