Rating Python Packages

openskill

Multiplayer Rating System. No Friction.

recommenders

Best Practices on Recommendation Systems

evalica

Evalica, your favourite evaluation toolkit

pyreclab

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

lab-student-survey

Python package for lab student survey. A single command fetches the spreadsheet generated from Google Forms and uploads the analysis results to Google Drive. Automatically calculates mean, standard deviation, correlation coefficient, p-value, Cronbach's alpha, and performs cluster analysis.

pre-reco-utils

Best Practices on Recommendation Systems

pysarplus

Best Practices on Recommendation Systems

django-rating-system

Django rating system.

agent-reputation-mcp-server

Trust and reputation system for AI agents

memento-scorecard

Scorecard development with Python

recommender-utils

Best Practices on Recommendation Systems

imdbmovies

IMDB API for Python

pip-rating

Check the health of your project's requirements and get a rating for each dependency.

player-performance

Gets the player performance and rating change from the tournament.

comunioscore

maps the sofascore rating to comunio players

requirements-rating

Check the health of your project's requirements and get a rating for each dependency.

requirements-score

Check the health of your project's requirements and get a score for each dependency.