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XGBoost
productml_framework
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Overview
Developed byTianqi Chen
Maintained byXGBoost Contributors
Founded2014
LicenseApache License 2.0
Open source✓ Open Source
Primary languageC++
Use casegradient boosting machine learning
Technical
Protocols
Python APIR APIJava API
Also see
Alternative to
LightGBMCatBoost
Based ongradient boosting decision trees
Competes with
LightGBMCatBoost
Knowledge graph stats
Claims31
Avg confidence95%
Avg freshness100%
Last updatedUpdated yesterday
WikidataQ107381753
Trust distribution
100% unverified
Governance
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XGBoost

product

Optimized gradient boosting library for structured/tabular data

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supports language

ValueTrustConfidenceFreshnessSources
R○UnverifiedHighFresh1
Python○UnverifiedHighFresh1
Java○UnverifiedHighFresh1

pricing model

ValueTrustConfidenceFreshnessSources
free○UnverifiedHighFresh1

supports model

ValueTrustConfidenceFreshnessSources
regression○UnverifiedHighFresh1
classification○UnverifiedHighFresh1

integrates with

ValueTrustConfidenceFreshnessSources
Python○UnverifiedHighFresh1
R○UnverifiedHighFresh1
scikit-learn○UnverifiedHighFresh1
pandas○UnverifiedHighFresh1
Apache Spark○UnverifiedModerateFresh1

supports protocol

ValueTrustConfidenceFreshnessSources
Python API○UnverifiedHighFresh1
R API○UnverifiedHighFresh1
Java API○UnverifiedHighFresh1

license type

ValueTrustConfidenceFreshnessSources
Apache License 2.0○UnverifiedHighFresh1
Apache 2.0○UnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
gradient boosting machine learning○UnverifiedHighFresh1
optimized gradient boosting for structured/tabular data○UnverifiedHighFresh1

alternative to

ValueTrustConfidenceFreshnessSources
LightGBM○UnverifiedHighFresh1
CatBoost○UnverifiedModerateFresh1

programming language

ValueTrustConfidenceFreshnessSources
C++○UnverifiedHighFresh1

open source

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

based on

ValueTrustConfidenceFreshnessSources
gradient boosting decision trees○UnverifiedHighFresh1
gradient boosting framework○UnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
Tianqi Chen○UnverifiedHighFresh1

maintained by

ValueTrustConfidenceFreshnessSources
XGBoost Contributors○UnverifiedHighFresh1
DMLC (Distributed Machine Learning Community)○UnverifiedHighFresh1

founded year

ValueTrustConfidenceFreshnessSources
2014○UnverifiedHighFresh1

competes with

ValueTrustConfidenceFreshnessSources
LightGBM○UnverifiedModerateFresh1
CatBoost○UnverifiedModerateFresh1

first release year

ValueTrustConfidenceFreshnessSources
2014○UnverifiedModerateFresh1

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competes with
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Commonly Used With

PythonRscikit-learnpandasApache Spark

Related entities

Claim count: 31Last updated: 4/9/2026Edit history