CA

CatBoost

Classical ML·infrastructure·open·#558 of 884·+57·infrastructure·Rising

67.7

Low

High confidence
WebsiteGitHub

Fast gradient boosting library with categorical feature support by Yandex.

Pillar Breakdown

Adoption

35%

68.2

Maintenance

30%

57.6

Friction

20%

92.4

Ecosystem

15%

56.9

Momentum

24.30Rising
7d change 0.00
High confidence

In Classical ML

Ranked #11 of 18

1shap
84.3
2XGBoost
82.9
3@react-native-firebase/ml
82.1
4lime
77.5
5autogluon
75.8
6scikit-learn
75.3
7LightGBM
74.7
8zipline
70.8
See all 18 in Classical ML →

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