Rating Python Packages

openskill

Multiplayer Rating System. No Friction.

evalica

Evalica, your favourite evaluation toolkit

recommenders

Best Practices on Recommendation Systems

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.

ratingmodels

Manual and experience rating, credibility blending, and rate indication with an audit trail; GLM relativities and frequency-severity modeling.

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.

pysarplus

Best Practices on Recommendation Systems

agent-reputation-mcp-server

Trust and reputation system for AI agents

pre-reco-utils

Best Practices on Recommendation Systems

django-rating-system

Django rating system.

memento-scorecard

Scorecard development with Python

recommender-utils

Best Practices on Recommendation Systems

pip-rating

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

player-performance

Calculate a player's performance rating and rating change from the given pgn file.

imdbmovies

IMDB API for Python

comunioscore

maps the sofascore rating to comunio players

requirements-score

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

requirements-rating

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

ms-recommenders

Best Practices on Recommendation Systems