Pharmacological Dose-Response 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.

A sigmoidal dose-response curve that plots biological response against drug concentration on a logarithmic x-axis, fitted using a four-parameter logistic (4PL) model. This visualization is essential for determining drug potency metrics such as EC50 (half-maximal effective concentration) or IC50 (half-maximal inhibitory concentration), Hill slope steepness, and upper/lower response asymptotes. It enables rapid visual comparison of compound efficacy and is a standard tool in pharmacological analysis.

Renders

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

Preview render from the Pygal implementation.

Implementations

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