nba-stats-api
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An API Client package to access the APIs for NBA.com
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Mar 16, 2025 - Python
An R package to quickly obtain clean and tidy men's basketball play by play data.
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May 7, 2024 - R
NodeJS wrapper for the MySportsFeeds Sports Data API
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Apr 18, 2023 - JavaScript
Data Extraction (fromhttps://stats.nba.com) and Processing Scripts to Produce the NBA Database on Kaggle (https://kaggle.com/wyattowalsh/basketball)
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Jun 7, 2024 - Jupyter Notebook
Feature requests for the MySportsFeeds Sports Data API.
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Jan 20, 2017
2017 Example NBA basketball website using nba_py for people to learn how to use NBA Stats Python API.
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May 2, 2018 - HTML
Stattleship API Ruby client
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Apr 23, 2017 - Ruby
stats.nba.com library 🏀
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Sep 19, 2017 - Haskell
Python API for stats.nba.com
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May 24, 2021 - Python
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
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Aug 10, 2017 - Python
PHP wrapper for the MySportsFeeds Sports Data API
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May 13, 2024 - PHP
Live NBA scores and boxscores API (data scraped from ESPN website)
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Dec 8, 2022 - Python
R package to interact with NBA api
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Apr 18, 2021 - R
Using the nba_api to delve into interesting statistics!
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Aug 25, 2020 - Python
Track the Salary Cap Value for all 30 NBA Teams
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Dec 10, 2022 - JavaScript
A python package built on the top of nba_api client API to help users to extract and analyse NBA data
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Sep 13, 2023 - Python
Website to validate NBA game stats with HTML+CSS+Vanilla JS
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Mar 19, 2025 - JavaScript
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