AI graph maker for research
Turn raw research data into a publication-ready graph — bar, line, scatter, box, or survival curve — with the statistics computed and the figure styled for journals. No coding.
Why use it
Built for research, not dashboards
Error bars, significance brackets, log axes, group comparisons, and journal styling (Arial, high-DPI) — the things a paper needs, not a generic business chart.
Stats and graph in one step
Ask for the test you need — t-test, ANOVA, correlation — and the graph is annotated with the result, so your figure and your statistics agree.
See and export the code
MindPlot writes and runs real matplotlib/seaborn code, so your figure is reproducible and you can keep the script — not a black-box image.
How it works
Upload your data
Drop in a CSV or Excel file of your measurements — MindPlot reads the columns automatically.
Describe the graph and stats
Say what to plot and which comparison to run ("mean by group with SEM and a t-test"), or let AI suggest the right chart.
Export for your paper
Download a publication-ready SVG or high-DPI PDF/PNG/EPS — or grab the underlying Python code.
What you can do with it
Paper & thesis figures
Produce a consistent, journal-styled figure set without wrangling plotting code for every panel.
Lab meetings & grant reports
Make a clear graph of your latest results in minutes to share with your group or a funder.
Coursework & student research
Get from a spreadsheet of results to a proper academic chart without learning ggplot2 or Prism.
Frequently asked questions
What makes this an academic graph maker rather than a generic chart tool?
It produces research figures — error bars, significance annotations, log/secondary axes, survival curves — with journal styling and high-DPI vector export, and it computes the underlying statistics, which general business-chart tools do not.
Can it run the statistics too?
Yes — ask for a t-test, ANOVA, correlation, or survival analysis and the result is computed and annotated on the graph, so the figure and the stats stay consistent.
Do I need to know R, Python, or Prism?
No. You upload data and describe the graph in plain language; MindPlot writes and runs the matplotlib/seaborn code for you, and you can export that code if you want it.
Is the figure publication-ready?
Yes — journal-grade typography and high-resolution editable SVG plus PDF/PNG/EPS export suitable for manuscript submission.
Is it free?
You can make graphs for free; sign in to save your work and handle larger datasets.
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Ready to try AI graph maker for research?
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