An API Client package to access the APIs for NBA.com
Visualization and analysis of NBA player tracking data
Repository which contains various scripts and work with various basketball statistics
An R package to quickly obtain clean and tidy men's basketball play by play data.
Predicts Daily NBA Games Using a Logistic Regression Model
Using AI to predict the outcomes of NBA games.
sportsdataverse python package
Tools to help developers and data scientists in sports
Python wrapper for the MySportsFeeds Sports Data API
NodeJS wrapper for the MySportsFeeds Sports Data API
This repository contains CSV files containing comprehensive NBA data spanning from the year 2010 to 2024, offering valuable insights into player statistics, team performances, game outcomes, and more.
Stattleship R Wrapper
NBA API Documentation
Python package for filling in information about players on court in NBA play-by-play data.
Feature requests for the MySportsFeeds Sports Data API.
Short, offhand analyses of the NBA
Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.
🏀 JavaScript Client for stats from NBA.com
Hover on an NBA player's name on any web page to quickly view their career stats. Thousands of active users across Chrome, Firefox, Opera, and Edge.
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