Ternary Density 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 ternary density plot combines a three-component ternary diagram with kernel density estimation to visualize where compositional data concentrates. Instead of showing individual points, this visualization uses a heatmap overlay to reveal the underlying probability distribution of compositions, making it ideal for identifying clusters, modes, and patterns in large compositional datasets.

Renders

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

Preview render from the Matplotlib implementation.

Implementations

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