XGBoost
Optimized gradient boosting library for structured/tabular data.
About
XGBoost is an optimized gradient boosting library for structured and tabular data, tuned for speed and accuracy on classification, regression, and ranking tasks. It supports distributed training, GPU acceleration, and native handling of missing values, with interfaces for Python, R, and other languages. It has long been a dominant tool in machine learning competitions. Released under the Apache 2.0 license.
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Details
- Category
- AI Frameworks & Libraries
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
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