Catalogue tag

#decision-trees

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

5 records

Tagged “decision-trees”Ranked by health index

npm

90Excellenthealth index

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.

C++ · Python★ 9,103↓ 23.4K/moSep 17, 2026

Apache-2.0Sep 17, 2026 · metrics 2.10.0

PyPI

69Goodhealth index

daniel-m-campos/bonsai

No repository description published.

C++ · Python · Cuda★ 0↓ 2,514/moSep 16, 2026

MITSep 16, 2026 · metrics 2.10.0

PyPI

57Moderatehealth index

mljar/supertree

Impress your boss with interactive Decision Tree visualization

JavaScript · Python★ 688↓ 3,110/moSep 10, 2026

Apache-2.0Sep 10, 2026 · metrics 2.10.0

PyPI

47Weakhealth index

mojolearn/mojolearn

GPU machine learning in Mojo that supports bitwise identical inference and training on Apple Metal, NVIDIA CUDA and AMD HIP.

Mojo · Python★ 3↓ 2,505/moSep 27, 2026

Apache-2.0Sep 27, 2026 · metrics 2.10.0

PyPI

34At Riskhealth index

lightgbm-org/LightGBM

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.

C++ · Python · R★ 18.8K↓ 19.9M/moSep 16, 2026

MITSep 16, 2026 · metrics 2.10.0