LightGBM is a fast gradient boosting library for classification, regression, and ranking tasks that uses tree-based learning algorithms. Developers use it to build machine learning models with high performance and low memory consumption, particularly when working with large datasets. It provides Python bindings to train and deploy gradient boosting models efficiently on both CPUs and GPUs.