Morandi Streamgraph Generator - Free Online River Chart Maker
Use Morandi Streamgraph Generator - Free Online River Chart Maker
All GotoKit tools run directly online, no download required.
Upload a fixed CSV template to generate a smooth streamgraph (ThemeRiver) in a Morandi blue-to-pink palette. Series spread symmetrically around a swaying baseline with thin white gaps between layers and a colored top legend, with light / dark canvas modes and PNG / SVG export.
About this tool
Streamgraphs are great for trends until loud colors make the layers fight. This one dresses the river in a Morandi blue-to-pink scheme — dusty navy, blue-gray and muted rose that sit quietly next to each other — with hairline white seams between layers and a top legend to key every series. Heavy time series stay calm and presentable for annual reports, papers and brand-facing decks.
- Export crisp PNG / SVG you can keep editing
- Multiple built-in themes, one-click switch
- Light and dark canvas support
- Free, no watermark, no limits
Compared with general charting workflows
| Aspect | This tool | Typical alternative |
|---|---|---|
| Visual direction | Optimized for a specific chart grammar | More general, but more setup |
| Export | Fast PNG/SVG export first | More formats, but heavier workflow |
| Best fit | Slides, landing pages, and social visuals | Building bespoke analytical charts from scratch |
Docs
What is a Morandi streamgraph?
A Morandi streamgraph (also called a ThemeRiver chart) is a variation of the stacked area chart: multiple series flow like colored rivers, spreading symmetrically above and below a self-swaying central baseline instead of stacking up from a fixed zero line. The width of each stream represents the value of that series at each point in time. This tool uses a low-saturation Morandi palette — deep navy, steel blue, gray blue and light blue-gray below the baseline, and grayish purple, dusty pink, mid pink and deep rose above it — with thin white gaps separating adjacent layers and a square-colored legend at the top whose text matches each swatch. The result is a soft, elegant, academic-poster look that works beautifully for papers, reports and presentations.
Features
- Template-driven, WYSIWYG: no visualization skills needed — download the CSV template, fill in your data, upload, and the chart appears instantly
- Wide-table format: first column holds x-axis categories (years, months, stages…), each following column is one series; 2-16 series and 3-40 rows
- Morandi blue-to-pink palette: the first 8 series use the reference 8-color sequence from deep navy to deep rose; additional series extend the same color family
- Swaying baseline layout: series spread symmetrically around a center line at half the total thickness — blues sink below, pinks float above
- Smooth curves: every layer is sampled with Catmull-Rom spline interpolation for naturally rounded edges
- White gaps between layers: adjacent streams are separated by thin background-colored lines, the classic ThemeRiver look
- Colored top legend: square swatches in a horizontal row above the chart, with legend text colored to match each swatch
- Light / dark modes: one click to switch canvas style; the palette is brightened in dark mode
- Multiple export formats: download high-resolution PNG (2x pixel ratio) or vector SVG
- Local & private: all data is parsed and rendered locally in your browser, never uploaded
Use cases
- Academic papers & research posters: the low-contrast Morandi palette fits journal and poster aesthetics
- Retail & e-commerce: track category sales over time and their shifting shares
- Marketing & operations: analyze channel traffic and user segment evolution
- Music & media: the classic use — play counts by genre or artist over time
- Reports & presentations: add a professional time-series composition chart to decks and annual reports
If you need precise comparison of small value differences at each time point, use a grouped bar chart instead; a streamgraph is best for conveying the overall sense of structural change.
How to use
- Click “Download CSV template” to get the sample file
- Fill in your data following the template: first column for x categories, then one column per series
- Click the upload area or drag a CSV file onto the page
- The Morandi streamgraph is generated automatically; preview it in light or dark mode
- Click “Download PNG” or “Download SVG” to save the image
Data format
| Field | Required | Description |
|---|---|---|
| x | Yes | First column header; x-axis category names (years, months, stages…) |
| Series columns | Yes | One column per series, header is the series name, values must be non-negative numbers |
Limits: 2-16 series; 3-40 rows; values must be non-negative numbers (0 allowed). The first 8 series use the Morandi blue-to-pink palette in order; extra series cycle through extended tones of the same family.
How to read this chart
The muted palette does not change the reading: total height is the sum and layer width is the share. Because adjacent Morandi layers are low-contrast, rely on the thin white seams and the top legend to tell them apart. Use it to spot which series drives the change first, then track structural shifts through relative widths.
About Gotokit
Gotokit is dedicated to providing simple, efficient and beautiful online tools. This Morandi streamgraph generator is powered by the ECharts rendering engine — no sign-up required, ready to use, with all data processed locally for your privacy.
FAQ
How many series fit after the first x column, and how does the palette map to them?
The fixed format is an x category column first, then one column per series: the first header is "x" and each following column is a series named by its header. It supports 2-16 series and 3-40 rows; the first 8 series use the Morandi blue-to-pink palette.
How do series map to colors?
Strictly by CSV column order: the 1st series (outermost, below) is deep navy, lightening upward to light blue-gray for the 4th; series 5-8 enter the pink family from grayish purple to deep rose. Blues render below the baseline, pinks above, and the layer order never flips.
Is this chart tool better for slides, reports, or social visuals?
All three can work, but each needs a different emphasis. Slides care about legibility, reports care about structure and annotation, and social visuals care about density and style. Tune colors, labels, and export size for the destination.
When should I export PNG instead of SVG?
PNG is usually better for slides, chats, or social sharing, while SVG is better if you need to keep editing, scale for print, or embed the graphic in a design system. If the target platform does not support SVG, export a higher-resolution PNG.
How is this different from a general charting tool?
These tools are optimized for a specific visual grammar, so you can get to a strong result faster. General charting tools are more flexible across many chart families, but usually take more setup and styling work.
Can I use this tool on mobile phones or tablets?
Most tools work in modern mobile browsers, but complex charts, larger files, and precision drag-and-drop tasks usually feel better on desktop. If speed and control matter, desktop is the safer choice.
Is this tool better for one-off tasks or recurring workflows?
It is strongest for fast one-off tasks, quick verification, and temporary exports. If you need long-term automation, team collaboration, or deeper integration, you will usually pair it with desktop software, scripts, or a larger system.
How can I get a better result on the first try?
Start with the built-in example or with the smallest realistic sample you have. Once the format, layout, and export look right, switch to the full dataset or final asset. This is usually the fastest way to catch formatting issues early.
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