Kaplan-Meier plot maker
Upload survival data and get a Kaplan-Meier curve with group comparisons, a log-rank p-value, censoring marks, and a numbers-at-risk table — publication-ready, no R or Python.
Why use it
Survival analysis built in
Group comparison, log-rank test, confidence bands, censoring ticks, and a risk table — the things reviewers expect — without writing survival/lifelines code.
No coding
Describe the plot in plain language; MindPlot runs the analysis and renders the figure.
Journal-ready output
Clean styling and editable SVG / high-DPI PDF export for submission.
How it works
Upload survival data
Provide a table with time-to-event, an event/censoring indicator, and an optional grouping column.
Add groups & stats
Compare arms, add the log-rank p-value, confidence intervals, and a numbers-at-risk table.
Export the figure
Download a publication-ready SVG/PDF, or refine colours and labels first.
What you can do with it
Clinical outcomes
Compare survival between treatment and control arms.
Oncology research
Show progression-free or overall survival across subgroups.
Reliability / time-to-failure
Any time-to-event analysis maps onto a Kaplan-Meier curve.
Frequently asked questions
What columns do I need?
A time-to-event column, an event indicator (1 = event, 0 = censored), and optionally a group column to compare arms.
Can it compute the log-rank p-value?
Yes — add a log-rank test for group comparisons, plus confidence bands and a numbers-at-risk table.
Do I need R or the survival package?
No — the Kaplan-Meier plot maker is no-code; you upload data and describe the figure in plain language.
Is the output publication-ready?
Yes — journal-grade styling with editable SVG and high-DPI PDF/PNG/EPS export.
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