Surprise is a Python library for building and analyzing recommender systems that handle explicit rating data. It provides ready-to-use prediction algorithms including baseline algorithms, neighborhood methods, and matrix factorization-based techniques like SVD. The library follows scikit-learn conventions, offers dataset handling utilities for built-in and custom datasets, and emphasizes clear documentation and experimental control.