Lazypredict is an open-source Python library designed to quickly build and compare multiple basic machine learning models for classification and regression tasks with minimal coding effort. It automates the process of training various models without parameter tuning, providing performance metrics such as accuracy, balanced accuracy, ROC AUC, and training time to help users identify which models perform better on their datasets.