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baseball-data

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An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.

  • Updated Aug 10, 2023
  • Python

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.

  • Updated Jul 29, 2026
  • Python

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.

  • Updated May 2, 2026
  • Python

NineLens is an open-source baseball intelligence application. It downloads and normalizes MLB schedules, rosters, profiles, box scores, season statistics, and Statcast pitches, then turns those sources into searchable player and team profiles, leaderboards, game drill-downs, rolling trends, and contextual benchmarks.

  • Updated Aug 31, 2026
  • Ruby

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