RePlay is a framework that streamlines the development of recommendation systems across their full lifecycle. It provides tools for data preprocessing, model building with baselines and state-of-the-art approaches including deep learning and transformer-based models, hyperparameter optimization, and comprehensive evaluation. The framework supports distributed computing with PySpark and integrates with PyTorch for model implementation.