SL

scikit-learn

Classical ML·infrastructure·open·#315 of 886·+12·infrastructure·Rising

75.5

Moderate

High confidence
WebsiteGitHub

Simple and efficient tools for predictive data analysis.

Pillar Breakdown

Adoption

35%

97.9

Maintenance

30%

74.8

Friction

20%

32.2

Ecosystem

15%

85.7

Momentum

44.40Rising
7d change +0.05
High confidence

In Classical ML

Ranked #6 of 18

1shap
84.5
2XGBoost
83.0
3@react-native-firebase/ml
82.3
4lime
77.7
5autogluon
76.1
6scikit-learn
75.5
7LightGBM
74.8
8zipline
71.1
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