ocelma/python-recsys

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1480 stars · 430 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library for building recommender systems, built on top of Divisi2, NumPy, and SciPy. It provides SVD-based matrix factorization for computing item similarities, predicting ratings, and generating recommendations.

Use cases

• build a movie recommendation engine in python
• compute similarity between items using svd
• predict user ratings for items
• recommend items to users with collaborative filtering
• run matrix factorization on movielens dataset
• find similar movies to a given movie

When to choose

• you need a simple python library for svd-based recommender systems
• you are learning or prototyping collaborative filtering algorithms
• you work with rating datasets like movielens

When to avoid

• you need a maintained library with recent updates or support
• you need production-scale recommendation systems
• you need deep learning based recommenders
• you use python 3 exclusively since the library targets legacy python 2 tooling

Facets

library · maturity abandoned

machine-learning data-science machine-learning data-science python recommender-system collaborative-filtering svd matrix-factorization movielens algorithms

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markdown · JSON · MCP: product_card(name="ocelma/python-recsys")