Grouped Box Plot 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 grouped box plot displays multiple box plots side-by-side within each category, enabling comparison of distributions across subgroups. Each group contains boxes representing different subcategories or conditions, making it ideal for multi-factor comparisons and A/B testing scenarios with multiple metrics.

Renders

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

Preview render from the D3.js implementation.

Implementations

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