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.
A simple yet comprehensive web scraper for kenpom.com.
Historical RAPTOR and other NBA data.
Tools to help developers and data scientists in sports
Python package for filling in information about players on court in NBA play-by-play data.
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
A machine learning project to predict NCAA Men's Basketball outcomes
NBA API Documentation
Extensive and Tidy NCAA Men's College Basketball Data
stats.nba.com library 🏀
Displaying team performance against player rotations during NBA games
Player advanced stats and Elo ratings for WNBA history
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
(Basketball Performance Tracker) 네이버 커넥트재단 AI Tech 5기 최종 프로젝트로 진행한 영상 기반 농구 점수 자동 기록 AI 서비스입니다.
Machine Learning Predictor for NBA games that takes into account player stats, team stats.
The WeBall Statistics application is a league statistics application for basketball, which was created as part of the course "Apps development for Mobile Devices" (University of Macedonia - Applied Informatics, academic year 2021-2022, 6th semester)
The WeBall Statistics application is a league statistics application for basketball, which was created as part of the course "Apps development for Mobile Devices" (University of Macedonia - Applied Informatics, academic year 2021-2022, 6th semester)
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