There are 2 repositories under baseball-data topic.
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
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.
Small client used to retrieve statcast data from Baseball Savant.
Slash Line is a fantasy baseball application that incorporates customizable leagues, baseball analytics and current media in one site.
Analytics generator for individual and team baseball statistics
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.
A Visual Analysis on the Yankee’s Bullpen Arms
An analysis on the last 150 years of Major League Baseball and the impact that slugging and hitting percentages of batters are in terms of Sabermetrics and other sports statistics.
Baseball Pitch Prediction with Deep Learning
Famous numbers throughout Yankees history
MLB Team Runs Scored Prediction Project (Linear Regression)
Code for constructing a baseball database, and analyzing the data
Simple CLI baseball pitch identification game. Based on real NCAA D1 baseball pitching data, this game trains future team managers, staff, or anyone interested in identifying different pitches based on key metrics.
Lahman databases through the years
What originally started almost 10 years ago as a game my dad created for my brother and I to play, I have now transformed into a fully functioning game with up to date and customizable player data.
Baseball Data Center
Python project for the Fundamentals of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is to create different classification models to predict strikes/balls using 2022 MLB pitching data.
Projet d'analyse de données en R | Étude d'un jeu de données de baseball à l'aide des outils classiques des statistiques.
Python bindings to chadwick library
Baseball data and Mongo...now that's a walk-off