xgboost has 49.1M monthly downloads and 29K GitHub stars. Version 3.3.0 supports Python 3.12+, first published in 2015.
It is actively maintained under a permissive license, last released in Jun 2026.
It is built on top of numpy and scipy. It is used by 1,305 tracked packages, including snowflake-ml-python, causalml and orange3.
GitHub topics include gbdt, gbrt and gbm.
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Dependencies
10 optional dependencies
- cloudpickle[pyspark]
- dask[dask]
- distributed[dask]
- graphviz[plotting]
- matplotlib[plotting]
- pandas[dask]
- pandas[pandas]
- pyspark[pyspark]
- scikit-learn[pyspark]
- scikit-learn[scikit-learn]
Used By
- snowflake-ml-python
- causalml
- orange3
- dice-ml
- autotrain-advanced
- research-os
- spotforecast2
- vaex-ml
- workbench
- autoviz
- evalml
- xgbse
- sportsdataverse
- xgboost-distribution
- olpai-volunteer-agent
- lightwood
- lecrapaud
- autoai-libs
- pyxai
- quartz-solar-forecast
- mljar-supervised
- compair-core
- tuiml
- nkululeko
- py-feat
- lightautoml
- quick-sentiments
- digital-twinning
- autoai-ts-libs
- dslighting
- supermodelingfactory
- cehrbert
- featurewiz
- hossam
- drfp
- esfex
- ms2pip
- timecopilot
- kreview
- etiq
- syntaxmatrix
- piml
- pygmtsar
- experiment-utils-pd
- iguanas
- llamea
- riskoptima
- secretflow
- utilsds
- exprmat