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.
Tools to help developers and data scientists in sports
Computer Vision app designed to analyze basketball shots from video footage using YOLOv11 finetuned with a custom dataset.
A machine learning project to predict NCAA Men's Basketball outcomes
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
Machine Learning Predictor for NBA games that takes into account player stats, team stats.
An easy-to-use Python utility to scrape basketball data off stats.nba.com.
Using the nba_api to delve into interesting statistics!
Basketball match winner prediction artificial intelligence
Estimates distance traveled by a basketball player based on video footage
A TensorFlow model for predicting NCAA brackets
🏀 Tool for scraping NBA data
Dunk Vision is a desktop basketball shot tracker and data capture tool built using Python and tkinter. Designed for youth coaches, players, and parents, it lets users track, visualize, and analyze shot data to improve individual and team performance as well as direct training efforts. For courtside users, data can be exported for later analysis.
Analysis of NBA Player Statistics
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