Basketball Shot Chart in Python, R, Julia and JavaScript

Source code in 15 libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts.

A basketball shot chart overlays shooting data on a half-court diagram, plotting each shot attempt as a point colored by outcome (made or missed). The court drawing includes the three-point arc, free-throw line, paint/key area, and basket, providing spatial context for analyzing shooting patterns and efficiency. Essential for basketball analytics and player evaluation.

Renders

• Full-resolution render, light theme
• Full-resolution render, dark theme
• Interactive version, light theme
• Interactive version, dark theme

Preview render from the Apache ECharts implementation.

Implementations

• Basketball Shot Chart in Altair (Python)
• Basketball Shot Chart in Bokeh (Python)
• Basketball Shot Chart in lets-plot (Python)
• Basketball Shot Chart in Matplotlib (Python)
• Basketball Shot Chart in Plotly (Python)
• Basketball Shot Chart in plotnine (Python)
• Basketball Shot Chart in Pygal (Python)
• Basketball Shot Chart in Seaborn (Python)
• Basketball Shot Chart in ggplot2 (R)
• Basketball Shot Chart in Makie.jl (Julia)
• Basketball Shot Chart in Chart.js (JavaScript)
• Basketball Shot Chart in D3.js (JavaScript)
• Basketball Shot Chart in Apache ECharts (JavaScript)
• Basketball Shot Chart in Highcharts (JavaScript)
• Basketball Shot Chart in MUI X Charts (JavaScript)