Python Wrapper for the MLB's Official Stats API
MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API)
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
A Python application and library that generates comprehensive advanced stat summary sheets for MLB players, customizable by year, providing in-depth analysis and visualizations. It can also be used as a library module, enabling users to develop their own features and extend functionality for custom applications and data processing needs.
A library for scraping data off of the FanGraphs webpages.
mlbapi is a Python library that provides Pythonic bindings for MLB Advanced Media's StatsAPI — the same data source that powers MLB.com's live game data, box scores, standings, and more.
A package that get baseball data
The repo for www.mlbtradetrees.com. Analyze any trade in baseball history!
Holds public data for the Nippon Professional Baseball (NPB) League, a professional baseball league based in Japan.
mlbgame v3-beta MLB JSON API
Small client used to retrieve statcast data from Baseball Savant.
Predicting MLB hit probability from 2026 Statcast data with random forests and neural networks.
A clean, Pythonic wrapper for MLB Stats API with automatic schema-driven parameter validation
Slash Line is a fantasy baseball application that incorporates customizable leagues, baseball analytics and current media in one site.
MLB plate appearance outcome models (gradiant boosting, random forest, neural net) with point-in-time features, walk-forward backtests, and Monte Carlo game simulator. Projections from 2026 Statcast data, powered by machine learning and 10,000 game situations.
Baseball Pitch Prediction with Deep Learning
League-wide MLB hitter leaderboard built from pitch-by-pitch Statcast data — wOBA, park-adjusted wRC+, and expected stats calculated from scratch.
Baseball Data Center
Baseball stats analyzer – computes top players by year and career from CSV datasets.
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