ELI5 provides tools to explain and inspect machine learning model predictions. It supports scikit-learn linear classifiers and regressors, tree-based models, Keras image classifiers via Grad-CAM visualizations, and gradient boosting libraries like XGBoost and LightGBM. The library helps debug ML pipelines by highlighting important features, showing feature importances, and undoing transformations like hashing to make model decisions interpretable.