Instead of Datawrapper
Datawrapper alternatives
Datawrapper brings together charts, maps, and tables in a web app, with more than 20 chart types among 25 interactive, responsive visualization types. Its map options include symbol, choropleth, and locator maps, supported by more than 4,000 basemaps and cartograms. Tables can include images, heatmaps, miniature charts, search, pagination, and sorting. Users can embed visualizations and export PNG, PDF, or SVG depending on plan, or create and update visualizations through a PowerPoint add-in and REST API. The free plan permits unlimited publishing but retains Datawrapper attribution; Pro starts at $21 per user per month and removes it.
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Matplotlib
by MatplotlibFree plan LinuxMacSelf-hosted+2Free Python-based visualizations — Matplotlib is a free Python library for static, animated, and interactive visualizations, rather than a web app for publishing charts, maps, and tables.
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Apache Superset
by Apache SupersetFree plan APILinuxSelf-hosted+1Self-hosted data exploration and dashboards — Apache Superset is a free, self-hosted exploration platform with row-level security, scheduled reports, embedded analytics, and natural-language queries.
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Plotly
Free plan Self-hostedInteractive dashboards across varied data sources — Plotly offers interactive dashboards, scheduled refresh, embedded dashboards, and connections to databases, cloud warehouses, CSV, and Python-accessible sources.
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Redash
Free plan APILinuxSelf-hosted+1Open-source querying and shareable dashboards — Redash connects to and queries data sources, combines results into dashboards, and supports URL sharing or embedded widgets.
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Avidemux
Free plan Open source LinuxMacWeb+1 - 9
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Bokeh
Free plan LinuxMacWeb+1 - 12
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Vega and Vega-Lite
Free plan APILinuxWeb - 19
Google Charts
Free plan AndroidiPhoneWeb - 20
LabPlot
Free plan LinuxMacWindows - 21
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Dashbuilder
Free plan APILinuxSelf-hosted+1 - 23
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Data Studio
Free plan Web
A different tool may suit you better if you need self-hosted dashboards, direct database connections, Python-based visualization, or interactive stories. The alternatives vary in whether they are libraries or platforms, how they connect to data, and whether they support scheduled reports, embedding, or live updates. Compare those workflows with Datawrapper’s chart-and-map publishing, and consider deployment and cost. Also weigh its plan-based export formats and attribution against the features you need from a replacement.
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