LightAutoML is an automated machine learning framework that handles the full ML pipeline including feature engineering, model selection, ensembling, and stacking. It supports gradient boosting and PyTorch backends and uses AutoWoE for creating interpretable whitebox models. The framework automates hyperparameter tuning and pipeline construction for tabular ML tasks.