An API Client package to access the APIs for NBA.com
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Updated
Aug 28, 2024 - Python
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.
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
A quick and dirty way to pull various cuts of data from the incredible NCAA Basketball advanced stats website KenPom
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)
Machine Learning Predictor for NBA games that takes into account player stats, team stats.
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.
An easy-to-use Python utility to scrape basketball data off stats.nba.com.
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