A Python API to retrieve and read MLB GameDay data

An LED scoreboard for Major League Baseball ⚾

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

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

A model for learning distributed representations of MLB players.

Status Bar menu for MLB games

Geoms to draw MLB stadiums in ggplot2

Ballparks of baseball teams in GeoJSON

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

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.

A simple Python package to gather live sports scores

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

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

Expert system that decides best pitch to throw in given situation in baseball game.

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

Public Repository for Baseball Prospectus

A universal crosswalk of baseball player ID systems

A repository to follow along with Andrew Trask's "Grokking Deep Learning" by modelling baseball statistics using various architectures of neural networks built from scratch.

🏒 🥅 [Python script] Live updating NHL scores in your terminal

Marcel projections

A simple application used for tracking which MLB and AAA stadiums a "Ballpark Chaser" has been to.

Scrapy Project Sample for Baseball(NPB)

Project to parse retrosheet baseball data in python

Baseball win expectancy and expected runs per inning calculators

Python Baseball Data and Analysis

A tool to gather and analyze data from the Baseball Databank maintained by the Chadwick Bureau or the Lahman Database, maintained by Sean Lahman. Provides ETL and analysis tools for sabermetrics and advanced statistics.

Baseball Pi

Automatic Baseball Commentary Generation Using Deep Learning (SAC 2020)