Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
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Updated
Sep 24, 2024 - Python
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
A Python API to retrieve and read MLB GameDay data
Basketball GM (and other ZenGM games) are single-player sports management simulation games, made entirely in client-side JavaScript.
A package written for R focused on baseball analysis. Currently in development.
⚾🤖⚾ Automatic baseball pitching overlay in realtime
The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
Home Assistant integration that provides real-time scores in multiple professional (NBA, NFL, NHL, MLB, MLS, and more), college (NCAA), and international (soccer, golf, tennis, mma, racing) sports using ESPN APIs.
A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch…
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.
Library to download, analyze, and visualize events in Major League Baseball games
A model for learning distributed representations of MLB players.
A Home Assistant frontend custom card that will display real-time updates for teams tracked with the ha-teamtracker integration. Has custom in-game layouts for football, baseball, basketball, hockey, soccer, golf, tennis, racing, and mma.
A simple Python package to gather live sports scores
Ballparks of baseball teams in GeoJSON
Using Machine Learning, Regression Analysis, Sabermetrics, and the Love of the Game to predict daily projections for MLB players
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