CA

CatBoost

Classical ML·infrastructure·open·#566 of 886·+44·infrastructure·Stable

67.7

Low

High confidence
WebsiteGitHub

Fast gradient boosting library with categorical feature support by Yandex.

Pillar Breakdown

Adoption

35%

67.9

Maintenance

30%

57.9

Friction

20%

92.5

Ecosystem

15%

56.9

Momentum

24.50Stable
7d change +0.02
High confidence

In Classical ML

Ranked #12 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
See all 18 in Classical ML →

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