Engineering Stress-Strain Curve 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.

An engineering stress-strain curve visualizes the relationship between applied stress (MPa) and resulting strain (dimensionless) in a material under uniaxial tensile loading. The curve reveals distinct mechanical behavior regions — elastic deformation, yielding, strain hardening, and necking — culminating in fracture. It is the foundational plot for characterizing material mechanical properties and comparing material performance.

Renders

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

Preview render from the Makie.jl implementation.

Implementations

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