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Stars

nba

22 repositories

Visualize the NBA Playoffs

JavaScript 5 1 Updated Jun 23, 2025

A Vue.js App that visualizes NBA player injuries

JavaScript 2 3 Updated Aug 11, 2019

NBA Shooting Visualization 🏀

JavaScript 3 1 Updated Jan 11, 2023

An interactive data visualization of NBA player statistics using d3.js

JavaScript 7 Updated Jan 8000 5, 2023

NBA Roster Demo (Next.js, Tailwind)

TypeScript 1 Updated Oct 27, 2021

Analyze the game statistics of your favorite basketball players visually with charts of your choosing. Filter data by seasons and the number of games data is aggregated on.

JavaScript 1 Updated May 6, 2023
JavaScript 1 Updated Mar 21, 2023

Web app to track the NBA salary cap totals for every team.

TypeScript 2 Updated May 11, 2024

This is a nextjs app that allows you to compare NBA players

TypeScript 1 1 Updated Mar 1, 2025

Frontend application for my NBA stats API.

JavaScript 1 Updated Sep 8, 2023

A web app to navigate through NBA stats

TypeScript 1 Updated May 25, 2023

An AI-powered chatbot that offers NBA analytics in seconds

TypeScript 1 1 Updated Jun 19, 2023
HTML 2 Updated Jun 23, 2025
TypeScript 124 25 Updated Aug 30, 2023

A live web-application that maps out NBA Assists through an interactive dashboard built using Plotly, Dash, and Python. Deployed and live on Heroku.

Python 17 4 Updated Jul 14, 2023

Basketball data interaction and visualization interface

TypeScript 1 Updated Mar 1, 2023

NBA stats and analysis

Jupyter Notebook 11 Updated Feb 26, 2023

本项目综合运用d3、echarts来完成可视化工作,实现了对nba两场比赛的可视化数据分析,包括球员运动轨迹、个人数据、传球次数以及得分位置等多种可交互式图表。通过可视化方法,我们能够进一步深入分析球队的具体情况,便于制定更佳的战术。

JavaScript 14 4 Updated Dec 19, 2022

Collection of tools and scripts for analysis and visualisation of football data.

Python 292 38 Updated Mar 20, 2025

Shot Chart, Hexmap and Heatmap for NBA.com. FlightsReact.

Python 36 12 Updated Dec 8, 2022

A Jupyter Notebook based tool to generate visualizations of entire NBA games using the NBA API.

Jupyter Notebook 1 Updated Apr 2, 2022

Repository which contains various scripts and work with various basketball statistics

Jupyter Notebook 158 44 Updated Jan 24, 2024
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