Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)

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

Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.

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

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

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

Download, parse, and wrangle Lahman and Retrosheet data to tidy csv files. Analyze with Python and Pandas in Jupyter notebooks.

JEFFBAGWELL wins above replacement (WAR) and various other metrics for MLB since 1901.

Marcel projections

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.

Analyzing MLB teams' stats over the past few decades to create a machine-learning model that predicts a team's wins as well as (if not better than) Pythagorean Expectation.

Data Aggregation Project

(a budding sabermetric tool for research of college teams)

A library of web-scraping software for popular SABRmetrics websites.

An edX external grader framework.

A data visualization tool that is an extension of pybaseball

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.