
Bokeh
7.1#33 in data visualization softwareFree planFree planWebLinuxmacOSWindows
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| Fact | Bokeh | Datawrapper |
|---|---|---|
| Free plan | Yes | Yes |
| Publishing | Plots can be shown in notebooks, saved as standalone HTML, embedded in a web app, or served with Bokeh server. | Visualizations can be embedded with a single line of code and exported as PNG, PDF or SVG depending on plan. |
Bokeh suits Python developers creating interactive browser visualizations, dashboards, or data applications. It is useful when data comes from the listed Python structures or REST endpoints and JavaScript coding should be avoided.
Datawrapper suits people who need to present data as charts, maps or tables, including teams publishing visualizations on websites or in presentations. Its API and team features may also fit organizations building chart workflows into other tools.