Recommendation Engine Python Packages

rusket

rusket 🦀🧺

rectools

RecTools - library to build Recommendation Systems easier and faster than ever before

recommenders

Best Practices on Recommendation Systems

claude-ctx

CTX Fit finds the cheapest AI coding setup that reliably works on your repository, then applies the winner as a reviewable change.

board-game-recommender

Board game recommendation engine

claude-cortex

Claude Cortex

gvdb

High-performance distributed vector database with high-dimensional vector support

torch-rechub

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

seldon

Machine Learning Platform and Recommendation Engine built on Kubernetes

solidago

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

pysarplus

Best Practices on Recommendation Systems

pre-reco-utils

Best Practices on Recommendation Systems

wikirec

Recommendation engine framework based on Wikipedia data

recotem

Recipe-driven recommender systems on irspack — one YAML = one model = one recommendation API. Train writes a signed artifact; serve mounts it with hot-swap. Single binary, no database.

wsknn

Session-weighted recommendation system in Python

recoflow

Recommender System for Humans

cbrecommender

Python library for implementing Content-Based Recommendation Engines with ease!

recommender-utils

Best Practices on Recommendation Systems

hyperassist

A modular tool for analyzing machine learning training logs and hyperparameters. It helps developers and researchers gain insight into training dynamics, surface anomalies, and improve model performance through informed tuning.

lycorisr

A lightweight recommendation algorithm framework based on LycorisNet.

pypbl

Python library for preference based learning

als

A pure Python implementation of Alternating Least Squares (ALS)

yodu

General purpose Recommender System

rxys

The future of technology implemented today. Various implementations of multi-context, context-aware system of recommendation optimized using particle swarm and enhanced by ensemble of deep learning techniques.