Sportsipy alternatives for AI agents.

Production-grade Rust-native trading engine with deterministic event-driven architecture

Predict game results with ML models trained on historical data; trade on Polymarket Sports(NHL, NBA, Tennis etc). Data → train → predict → trade.

Free football data from StatsBomb

ESPN Fantasy API! (Football, Basketball)

computer vision and sports

⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.

NBA sports betting using machine learning

This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.

The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.

Python library to parse, analyze and visualize Counter-Strike 2 data

An asynchronous Python package for https://understat.com/.

Collection of sports betting AI tools.

Free open public domain football data for the world cups (national teams & clubs) in JSON incl. Canada/USA/Mexico 2026, USA 2025, Qatar 2022, Russia 2018 and more - No API key required ;-)

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Convert soccer event stream data to SPADL and value player actions using VAEP or xT

⚽️ Extract, prepare and publish Transfermarkt datasets.