Visualize data distributions beautifully. Add multiple groups, customize colors, overlay box plots and data points — all in your browser.
Enter comma-separated values for each group, then generate your chart.
Your violin plot will appear here
Add data and click Generate
Everything you need to create professional violin plots — right in your browser, no install required.
Compare multiple data series side-by-side with unique colors, labels, and full KDE distributions per group.
Pick individual colors per series or choose from curated palettes — Cool Blues, Warm Sunset, Earthy, and Neon.
Toggle a built-in box plot overlay showing median, IQR, and whiskers on top of each violin shape.
Optionally render individual data points with jitter for full transparency of your raw data distribution.
Adjust kernel density estimation bandwidth from narrow to wide to best represent your distribution's shape.
Download publication-ready charts as lossless SVG or high-resolution PNG — perfect for reports and presentations.
Instant computed stats per series: mean, median, standard deviation, min, max, and quartiles.
Works perfectly on mobile, tablet, and desktop. Charts scale to fit any screen size without overflow.
Four simple steps to visualize your data distribution.
Click Add Series and enter comma-separated numbers (e.g. 12, 15, 18, 22, 25). Name each group and pick a color. Add as many series as needed for comparison.
Set chart title, axis labels, bandwidth, color scheme. Toggle box plot overlay, mean line, data points, and animation on or off to match your needs.
Click Generate Violin Plot. The chart renders instantly using kernel density estimation — statistics are computed automatically below.
Download your violin chart as SVG or PNG, or copy the SVG code directly. Use in presentations, reports, publications, or websites.
A violin plot is a powerful statistical visualization that merges the best of a box plot with a kernel density estimate (KDE), giving analysts and researchers a complete picture of data distribution. Unlike a box plot that only shows summary statistics, a violin graph reveals the full shape, modality, and density of your data — making it invaluable for spotting bimodal distributions, skewness, and outliers at a glance.
Our free violin chart maker lets you build publication-ready violin plots directly in your browser using real KDE algorithms powered by D3.js. There's no account needed, no software to install, and no technical expertise required. Simply paste your comma-separated values, pick your colors, and hit generate.
Violin plot examples span many fields: comparing test scores across classrooms, analyzing salary distributions by job title, studying biological measurements across species, evaluating A/B test results, and exploring sensor readings in engineering. Wherever you need to compare distributions between groups, a violin chart is the ideal visualization choice.
Unlike traditional histograms, which depend heavily on bin size, or box plots, which compress distribution shape into five numbers, a violin plot uses KDE to produce smooth, interpretable curves that scale with your data. Our tool lets you control bandwidth, add box plot overlays, scatter individual data points, and mirror violin halves — covering every common violin plot use case.
Whether you're a data scientist, educator, researcher, or analyst, our online violin plot maker makes it easy to explore and communicate data distributions. Export to SVG or PNG for flawless embedding in any document. All computation happens client-side — your data never leaves your device.
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