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catboost

catboost

by catboost · GitHub

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

# big-data# catboost# categorical-features# coreml
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⭐ Stars
9k
🍴 Forks
1.3k
🔥 Trending
+2 this week
📜 License
Apache-2.0
Commercial use OK
📅 Created
2017
🔄 Last commit
4 days ago
🏷️ Category
big-data
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📈 Star history
9.03k9.01k
2026-07-042026-07-22
📄 About

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Frequently asked questions

What is catboost?

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Is catboost open source?

catboost is an open-source project. It is released under the Apache-2.0 license.

Is catboost free?

Yes. catboost is free and open source — you can use, modify and self-host it.

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