Basic 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 density plot (also known as Kernel Density Estimation or KDE plot) visualizes the distribution of a continuous variable by smoothing the data into a continuous probability density curve. Unlike histograms which use discrete bins, density plots provide a smooth representation of the underlying distribution, making it easier to identify patterns such as skewness, modality, and overall shape.

Renders

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

Preview render from the Highcharts implementation.

Implementations

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