User Retention Curve by Cohort 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 line chart showing the percentage of retained users over time since signup, with separate curves for different cohorts. All curves start at 100% at time zero and typically exhibit exponential decay, revealing how well a product retains users over their lifecycle. By overlaying multiple cohorts, teams can visually compare whether retention is improving or degrading across signup periods.

Renders

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

Preview render from the Altair implementation.

Implementations

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