nba-stats

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

Predicts Daily NBA Games Using a Logistic Regression Model

Python wrapper for the MySportsFeeds Sports Data API

NodeJS wrapper for the MySportsFeeds Sports Data API

An R package to quickly obtain clean and tidy men's basketball play by play data.

Stattleship R Wrapper

Using data analytics and machine learning to create a betting system for the 2023/2024 NBA season.

sportsdataverse python package

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

R wrapper functions for the MySportsFeeds Sports Data API

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.

2017 Example NBA basketball website using nba_py for people to learn how to use NBA Stats Python API.

Stattleship API Ruby client

In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.

NBAShotTracker is a data visualization tool to track player shot performance.