An API Client package to access the APIs for NBA.com
翻译 - API客户端程序包，用于访问NBA.com的API
Visualization and analysis of NBA player tracking data
#计算机科学#Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Repository which contains various scripts and work with various basketball statistics
Predicts Daily NBA Games Using a Logistic Regression Model
An R package to quickly obtain clean and tidy men's basketball play by play data.
sportsdataverse python package
NBA play-by-play data from stats.nba.com, data.nba.com, pbpstats.com, and also shots information with season 1996/97
NodeJS wrapper for the MySportsFeeds Sports Data API
Feature requests for the MySportsFeeds Sports Data API.
#计算机科学#Using AI to predict the outcomes of NBA games.
Tools to help developers and data scientists in sports
Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.
Python package for filling in information about players on court in NBA play-by-play data.
A sport predictions full-stack application that generates betting recommendations & data on Prize Picks using linear regression.
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.
NBA API Documentation