Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)

An LED scoreboard for Major League Baseball :baseball:

A Python API to retrieve and read MLB GameDay data

Basketball GM (and other ZenGM games) are single-player sports management simulation games, made entirely in client-side JavaScript.

A package written for R focused on baseball analysis. Currently in development.

⚾🤖⚾ Automatic baseball pitching overlay in realtime

The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.

A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch thrown. The Gameday API makes it easy for Ruby developers to work with all this statistical information. The test directory included with the source code contains many examples of how the API can be used. If you prefer to use SVN, the gameday_api is also available via an SVN repository at: http://code.google.com/p/gamedayapi/ If you like this project, be sure to also check out the Baseball-Tracker project also hosted on GitHub. Baseball-Tracker is a web application that uses the gameday_api. You can find a hosted version of Baseball Tracker at http://baseballstatz.heroku.com

Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.

Doodle Cricket and Other Google Doodle Games

Library to download, analyze, and visualize events in Major League Baseball games

A model for learning distributed representations of MLB players.

Geoms to draw MLB stadiums in ggplot2

A simple Python package to gather live sports scores

Command-line interface MLB game information. Game schedule, scores, and standings

Ballparks of baseball teams in GeoJSON

Status Bar menu for MLB games

Using Machine Learning, Regression Analysis, Sabermetrics, and the Love of the Game to predict daily projections for MLB players

Multi-core processing of 'Gameday' data from Major League Baseball Advanced Media. Additional tools to parallelize large data sets and write them to a database.

An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.

Baseball win expectancy and expected runs per inning calculators

Python Baseball Data and Analysis

Showdown Bot is the simplest way of creating custom MLB Showdown cards. Simply enter a player's name, season, and image. The Showdown Bot takes care of the rest. Check it out https://showdownbot.com

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

I'm maintaining the original repo now. please go to github.com/jldbc/pybaseball

Project to parse retrosheet baseball data in python

R package to easily plot MLB logos

JEFFBAGWELL wins above replacement (WAR) and various other metrics for MLB since 1901.

Public Repository for Baseball Prospectus

Infinite version of the daily Immaculate Grid baseball puzzle game.