SU

maks-sh/scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

802 104 +0/wk
GitHub
causal-inference causality individual-treatment-effects machine-learning net-lift true-lift uplift uplift-modeling uplift-modelling
Trend 0

Star & Fork Trend (18 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

maks-sh/scikit-uplift has +0 stars this period . Velocity data will be available after more historical data is collected.

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Signal-backed technical analysis will be available soon.

Metric scikit-uplift Open-AF3 meta-dataset pytorch_fundamentals
Stars 802 802801804
Forks 104 103142113
Weekly Growth +0 +0+0+0
Language Python PythonJupyter NotebookJupyter Notebook
Sources 1 111
License MIT MITApache-2.0MIT

Capability Radar vs Open-AF3

scikit-uplift
Open-AF3
Maintenance Activity 0

Last code push 900 days ago.

Community Engagement 65

Fork-to-star ratio: 13.0%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

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.