A Python API to retrieve and read MLB GameDay data
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Updated
Jan 30, 2022 - Python
A Python API to retrieve and read MLB GameDay data
Library to download, analyze, and visualize events in Major League Baseball games
A Python 3 Client To Interact with MLB.com Stats
Python Wrapper for the MLB's Official Stats API
Using Machine Learning, Regression Analysis, Sabermetrics, and the Love of the Game to predict daily projections for MLB players
Machine Learning over historical baseball data using latest Microsoft AI & Development technology stack (.Net Core & Blazor)
An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.
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
Project to parse retrosheet baseball data in python
Public Repository for Baseball Prospectus
MLB Data Explorer
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
"I'd walk through hell in a gasoline suit to play baseball." - Pete Rose (Charlie Hustle). Python scripts to pull MLB Gameday and stats data, build models, predict outcomes, make plays.
Unofficial .NET SDK for the MLB Stats API.
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.
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