The RecSys Directory

Quality-scored directory of 0 recommendation systems, updated daily. Every library scored on maintenance, adoption, maturity, and community signals.

Recommendation engines and collaborative filtering libraries — from classical matrix factorisation to deep learning recommenders and production frameworks.