{"library":"scikit-surprise","type":"library","category":null,"description":"scikit-surprise (Surprise) is a Python scikit for building and analyzing recommender systems. Version 1.1.4 is the current release. It supports prediction-based and neighborhood-based collaborative filtering, matrix factorization, and evaluation metrics. Releases are infrequent (last stable was 1.1.1 in 2020, then 1.1.3/1.1.4 in 2025).","language":"python","status":"active","version":"1.1.4","tags":["recommender-system","collaborative-filtering","matrix-factorization","machine-learning"],"install":[{"cmd":"pip install scikit-surprise","imports":["from surprise import Dataset","from surprise import Reader","from surprise import SVD","from surprise import accuracy","from surprise.model_selection import cross_validate","from surprise.model_selection import GridSearchCV"]},{"cmd":"conda install -c conda-forge scikit-surprise","imports":[]}],"homepage":"https://surpriselib.com","github":"https://github.com/NicolasHug/Surprise","docs":null,"changelog":null,"pypi":"https://pypi.org/project/scikit-surprise/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":7.3,"avg_import_s":0.78,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/scikit-surprise/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}