There are 2 repositories under nba-api topic.
An R package to quickly obtain clean and tidy men's basketball play by play data.
A scraper to scrape the NBA API and compile a play by play file
In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.
2017 Example NBA basketball website using nba_py for people to learn how to use NBA Stats Python API.
stats.nba.com library :basketball:
:basketball::wastebasket: RESTful API about the best league in the world!
Nba News API that returns latest articles based on teams or players from espn, bleacher report, nba.com, yahoo, and slam
An easy-to-use Python utility to scrape basketball data off stats.nba.com.
R package to interact with NBA api
JAVA API that allows users to get information directly from official NBA Servers. Data is updated constantly, allowing users to track live games, boxscores, teams, players...
Using the nba_api to delve into interesting statistics!
Generate shot charts of any NBA player, of any season in a simple and intuitive graphic interface using Python
NBA All-Time points table API . Find out more about your favorite players and their basketball achievements 🏀
A minimal NBA scoreboard presented in the terminal using go and gocui
Milwaukee Bucks Game Outcome Prediction using Tensorflow
Track the Salary Cap Value for all 30 NBA Teams
3D visualization of basketball shots using plotly and NBA shot chart data
Discord bot that gives you the most up to date data about the current injuries in the NBA
Determines if daily NBA games are "exciting" enough to watch by using live data obtained from the NBA API. Search for the highlight video from the official NBA Youtube channel using the Youtube API.
Boilerplate of a backend linked to SAP conversational AI. This simulates a Node API that knows a lot about NBA players
Discord Bot with information about the NBA!
1-NBA API Project , 2-Love Calulator API Project, 3-Exchange API Project, 4-GitHub API Project
A PyMySQL-based console app designed to provide insightful statistics and graphs based on data fetched from the NBA.com APIs.
This program extracts data on several professional NBA players, and given a positive integer supplied by the user, the program is capable of creating pairs of players, in such a way that their heights in inches add up to the number supplied by the user. The scripts were written in Javacript.
This program extracts data on several professional NBA players, and given a positive integer supplied by the user, the program is capable of creating pairs of players, in such a way that their heights in inches add up to the number supplied by the user. The code was written in Python.
Descriptive Statistical Analysis of the NBA Defensive Player of the Year race since 2013-14