XGBoost is a machine learning library that implements gradient boosting algorithms for classification, regression, and ranking tasks. Developers use it to build predictive models that are fast, accurate, and handle large datasets efficiently. It's particularly useful for structured data in competitive machine learning and production systems where model performance matters.