Create Ridgeline Plot Maker from experimental or research data
Create publication-ready ridgeline plots from grouped numeric data. Compare overlapping distributions as ridge plots or joyplots without writing code.

Drag a data file here, or click to upload
CSV, TSV, TXT, Excel · Max 5MB
Preview
ExampleThis preview uses the selected sample dataset. Generate it with Python, or upload your own data to create a new chart.
Explore six ready-to-use datasets and visual styles for real research scenarios.
Create publication-ready ridgeline plots from grouped numeric data. Compare overlapping distributions as ridge plots or joyplots without writing code. Ridgeline Plot Maker converts structured research data into a clear visual pattern for comparing values, distributions, relationships, or changes. The first figure is generated from your uploaded file and remains editable in SciVis.
Choose an example or upload one CSV, TSV, TXT, XLSX, or XLS file, check the detected columns, generate the chart, and continue editing it in SciVis. For Excel files, the first worksheet is imported.
Yes. You can start with the six included datasets and use available free credits to generate a chart with Ridgeline Plot Maker.
Ridgeline Plot Maker accepts one CSV, TSV, TXT, XLSX, or XLS file at a time. Excel files use the first worksheet, and every page also includes prepared sample datasets.
Yes. Open the figure generated with Ridgeline Plot Maker in SciVis to change labels, colors, annotations, layout, and other visual settings.
Yes. Ridgeline Plot Maker is designed to produce clean, publication-ready scientific figures. Always verify values and journal requirements before submission.
Yes. After editing a Ridgeline Plot Maker figure in SciVis, you can export it in formats suitable for papers, posters, slides, and reports.
No. Ridgeline Plot Maker creates the first version through a guided upload workflow, while SciVis provides visual controls for refinements.

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