An API Client package to access the APIs for NBA.com

🏀 An application to build an NBA database backed by MySQL, Postgres, or SQLite

A simple yet comprehensive web scraper for kenpom.com.

Historical RAPTOR and other NBA data.

R package

A machine learning project to predict NCAA Men's Basketball outcomes

Data collection, processing, visualization, modeling, and ideation in the space of sports analytics

Python package for filling in information about players on court in NBA play-by-play data.

stats.nba.com library 🏀

Extensive and Tidy NCAA Men's College Basketball Data

Displaying team performance against player rotations during NBA games

Python API for stats.nba.com

Player advanced stats and Elo ratings for WNBA history

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)

A quick and dirty way to pull various cuts of data from the incredible NCAA Basketball advanced stats website KenPom

Machine Learning Predictor for NBA games that takes into account player stats, team stats.

A Mobile App with: 1) An easy & fast to use live-game management system 2) A user side to watch live games, team & player stats and a lot more. Also a Web App to choose your teams and create your own league. The given league is fictional but the teams, names etc. are from teams & players who are part of the Greek Basket League which is run by HEBA.

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.