Python Wrapper for the MLB's Official Stats API

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

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

A library for scraping data off of the FanGraphs webpages.

The repo for www.mlbtradetrees.com. Analyze any trade in baseball history!

Tools to help create and maintain databases based on the Baseball Databank Files

Python package to interface with chadwick library

mlbgame v3-beta MLB JSON API

A package that get baseball data

R package for importing historical baseball data from Retrosheet

Holds public data for the Nippon Professional Baseball (NPB) League, a professional baseball league based in Japan.

R code to scrape, clean, organize, etc. Major League Baseball Statcast data. Also pretty plots and the sort-of-ugly code that produced them.

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.

Small client used to retrieve statcast data from Baseball Savant.

Major League Baseball has started enforcing a rule to prevent pitchers from using sticky glue like substances to add spin to their pitches. This analysis investigates the change in spin rate and results from a drop in spin.

Code for constructing a baseball database, and analyzing the data

Analytics generator for individual and team baseball statistics

Baseball Pitch Prediction with Deep Learning