XGBoost

MLOps & Training · Free + paid

Optimized gradient boosting library

At a glance

Made by
xgboost developers (DMLC community)
Korean
None (English and a few others only)
Open source
Apache-2.0
GitHub
28,864 stars · Apache-2.0

What is XGBoost?

XGBoost is an optimized distributed gradient boosting library designed for efficiency, flexibility, and portability. It implements machine learning algorithms within the gradient boosting framework, and solves many data science problems quickly and accurately with parallel tree boosting (GBDT·GBM). The same code runs on major distributed environments such as Kubernetes, Hadoop, Dask, and Spark, and can handle problems with billions of records. It provides Python, R, JVM, Ruby, Swift, Julia, and C packages, and started as a research project at the University of Washington.

  • Parallel tree boosting (GBDT·GBM)
  • Distributed training on Kubernetes·Hadoop·Dask·Spark·PySpark·Ray
  • GPU support
  • Learning to Rank·survival analysis·multi-output
  • Categorical data handling and monotonic·feature interaction constraints
  • scikit-learn estimator interface
  • Python·R·JVM·Ruby·Swift·Julia·C packages

Who uses XGBoost and for what

  • Fast, accurate predictive modeling on data with billions of records

Pricing

Open source + paid cloud-managed plans

Open-source version can be self-hosted for free, managed cloud services are paid based on usage/seats

Estimate based on AI knowledge - please verify on the official site

AI tools similar to XGBoost (alternatives)

XGBoost vs. alternatives at a glance

AIPricingCombos on the mapConnected toolsFreeCheapest monthlyKorean
XGBoostFree + paid05——No
Accord.NETFree + paid022Yes—No
AlinkFree + paid022——No
Angel-MLFree + paid022——No

1 of these 4 tools have a free plan.

Combo and connection counts are based on the relationships recorded on AI Galaxy Map (2026-10-26); they are not a quality ranking.

XGBoost on AI Galaxy Map

  • One of 45 AI tools in the MLOps & Training field.
  • Connected to 5 other tools — #11 in its field.

Frequently asked questions

Can I use XGBoost for free?

Open source + paid cloud-managed plans. Prices can change, so check the official site before paying.

What AI can I use instead of XGBoost?

Tools that do the same job, such as Accord.NET, Alink, Angel-ML, Auto-sklearn, are connected to it on the map.

Can I use XGBoost in Korean?

None (English and a few others only)

Sources (official pages)

Checked on the official pages on 2026-10-14. Prices and features can change, so check the official site again before paying.

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