catboost/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.
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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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Latest capture 2026-07-15 03:06
10 captures since 2026-05-22
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Scanned 2026-07-15 03:06
CMakeLists.txt
c-cpp ecosystem,
11 dependencies
doc/requirements.txt
python ecosystem,
19 dependencies
jvm-packages/CMakeLists.txt
c-cpp ecosystem,
1 dependency
jvm-packages/pom.xml
java ecosystem,
8 dependencies
plugin/CMakeLists.txt
c-cpp ecosystem,
1 dependency
python-package/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
python-package/pyproject.toml
python ecosystem,
12 dependencies
R-package/CMakeLists.txt
c-cpp ecosystem,
2 dependencies
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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.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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