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basketball-stats
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An API Client package to access the APIs for NBA.com
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.
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
A machine learning project to predict NCAA Men's Basketball outcomes
Extensive and Tidy NCAA Men's College Basketball Data
Displaying team performance against player rotations during NBA games
stats.nba.com library 🏀
Player advanced stats and Elo ratings for WNBA history
To quickly and efficiently load Australian basketball statistics from the NBL
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
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 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.
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.