An API Client package to access the APIs for NBA.com
🏀 An application to build an NBA database backed by MariaDB/MySQL, Postgres compatible databases, or SQLite.
Computer Vision app designed to analyze basketball shots from video footage using YOLOv11 finetuned with a custom dataset.
A simple yet comprehensive web scraper for kenpom.com.
Tools to help developers and data scientists in sports
Historical RAPTOR and other NBA data.
NBA API Documentation
Python package for filling in information about players on court in NBA play-by-play data.
Advanced defensive metrics powered by a 5-dimensional Bayesian model. Evaluating Shot Suppression, Profile, Hustle, IQ, and Anchor capabilities.
A machine learning project to predict NCAA Men's Basketball outcomes
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
Extensive and Tidy NCAA Men's College Basketball Data
Displaying team performance against player rotations during NBA games
Player advanced stats and Elo ratings for WNBA history
stats.nba.com library 🏀
A quick and dirty way to pull various cuts of data from the incredible NCAA Basketball advanced stats website KenPom
Python API for stats.nba.com
To quickly and efficiently load Australian basketball statistics from the NBL
(Basketball Performance Tracker) 네이버 커넥트재단 AI Tech 5기 최종 프로젝트로 진행한 영상 기반 농구 점수 자동 기록 AI 서비스입니다.
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