Python Wrapper for the MLB's Official Stats API
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Updated
Feb 5, 2026 - Python
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.
MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API) with client demo
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.
The repo for www.mlbtradetrees.com. Analyze any trade in baseball history!
A package that get baseball data
Python package to interface with chadwick library
Tools to help create and maintain databases based on the Baseball Databank Files
mlbgame v3-beta MLB JSON API
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 clean, Pythonic wrapper for MLB Stats API with automatic schema-driven parameter validation
Small client used to retrieve statcast data from Baseball Savant.
Code for constructing a baseball database, and analyzing the data
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.
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