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
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.
NBA API Documentation
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)
Machine Learning Predictor for NBA games that takes into account player stats, team stats.
A quick and dirty way to pull various cuts of data from the incredible NCAA Basketball advanced stats website KenPom
To quickly and efficiently load Australian basketball statistics from the NBL
Add a description, image, and links to the basketball-stats topic page so that developers can more easily learn about it.
To associate your repository with the basketball-stats topic, visit your repo's landing page and select "manage topics."