Datawrapper

This Datawrapper review covers what the data visualization tool is used for, its key features and chart types, Datawrapper pricing, privacy and accessibility, where it shines and falls short, and how it compares with other tools. Datawrapper is a charting tool that runs in the browser on any device. You paste or upload data, pick a chart type, adjust labels and colors, and publish an interactive chart that you embed with a line of embed code. No coding is needed, and the result works on every screen size. Datawrapper GmbH is based in Berlin and has built the platform since 2012, when Mirko Lorenz, Gregor Aisch and Nicolas Kayser-Bril launched it for data-driven journalism (Datawrapper blog).

What is Datawrapper used for?

Datawrapper is used to visualize data for publication. Newsrooms use it to put charts, maps and tables into articles within minutes, which is why journalists working on a deadline rely on it for data-driven stories. Members of the team previously built graphics at The New York Times, NPR and Bloomberg (about Datawrapper). Research teams, universities, NGOs and public bodies use it to publish research data in reports and on websites, and businesses use it for annual reports, blog posts and presentations. The Urban Institute describes how its team uses Datawrapper to make custom data visualization more efficient across many projects (Urban Institute).

The focus is publishing, not analysis. You clean and analyze data in Excel, Google Sheets, SQL or another tool, then use Datawrapper to create charts that are clear, accurate and consistent with your style. That split makes the data visualization process fast: the data structure stays in your spreadsheet, and the visual storytelling happens in Datawrapper. It is less suited to interactive dashboards or exploring a data source, which is the job of business intelligence software.

Key features

• Charts: bar, column, line, area, scatter plots, pie charts, donut, range and dot plots, stacked and grouped variants. Waterfall and dual-axis charts need the Business plan.
• Maps: choropleth maps, symbol maps and locator maps, with many ready-made base maps.
• Tables: responsive tables with search, sorting, sparklines, heatmaps and images.
• Data import: paste data straight from Excel, upload a CSV or Excel file, or link a Google Sheets file or an external URL. Datawrapper checks the data and suggests how to read each column, so the data visualization starts from clean data.
• Live updates: charts linked to Google Sheets or an external data source update without republishing, useful for election nights and live figures on websites (Datawrapper Academy).
• Embed and export: responsive embed code for any website or CMS, PNG export on the free plan, PDF and SVG export on paid plans.
• Teams: shared folders, edit history and permissions, so multiple charts stay consistent across a team.
• Custom themes: fonts, colors and logo that match your brand, as a paid add-on.
• API: create, publish and export visualization projects from code, a method many newsrooms use to update charts automatically.

Datawrapper chart types and data visualization options

Picking the right chart type is where Datawrapper helps most. The editor walks you through four steps: upload data, check and describe the data, visualize, and publish. Each chart type has its own options to customize labels, colors, annotations, tooltips and highlights, so a viewer sees the key point first. Maps use the same process with your own data joined to regions or coordinates, and tables can show images, sparklines and colored cells. The capabilities are deliberately focused: you get fewer chart types than in business intelligence software, but each one is designed to be readable and accessible on any device, from mobile to desktop. Data visualization teams also use functions such as custom fields and folders to keep large chart libraries in order, and the ability to duplicate a chart makes a series of charts with the same data visualization style quick to produce. Access rights decide who can edit and who can only view each chart.

Datawrapper pricing

Datawrapper has a free plan and paid plans priced per user. The figures below come from the Datawrapper pricing page as of September 2026, billed annually and excluding VAT.

• Free: create and publish unlimited charts, maps and tables, PNG download, shared team workspace, 30 days of edit history and email support. Published charts carry "Created with Datawrapper".
• Pro: $21 per user per month. Removes the attribution, adds PDF and SVG export, 90 days of edit history, custom fields and image publishing.
• Business: $39 per user per month. Adds waterfall and dual-axis charts, fine-grained team permissions, one year of edit history and priority support.
• Enterprise: custom pricing, with uptime and support guarantees, SAML single sign-on, self-hosting of published visualizations and an account manager.

The cost surprise to check is the custom theme. Matching your brand's fonts and colors is an add-on at $499 per month for the first theme and $299 for each extra theme. The API also gets usage-based pricing from October 1, 2026: a free monthly allowance of create, publish and export operations, then a small fee per operation. Heavy automated chart production should check those numbers before scaling.

Is Datawrapper private and GDPR compliant?

Datawrapper visualizations are private until you click publish; after that, the published chart is public at its URL. Datawrapper hosts data in Frankfurt, Germany, and Stockholm, Sweden, so user data stays in the European Economic Area, and it processes data under German data protection law (privacy policy). Embedded charts set no cookies, use no trackers and load no third-party scripts, which makes them GDPR and CCPA compliant (embed privacy). Organizations that need full control can self-host published visualizations on the Enterprise plan.

Accessibility

Datawrapper makes every chart, map and table accessible by default. You can add alternative text that screen readers read out, every element can be used with the keyboard, and a color blindness checker warns when colors would be hard to tell apart (Datawrapper Academy). Charts adapt to mobile and desktop screens without extra work, so accessible data visualization does not depend on the skills of each author.

Where Datawrapper shines — and where it falls short

Strengths:

• Fast from data to a published chart, with an intuitive interface and no coding.
• Clear, accurate default designs that follow good data visualization practice.
• Strong privacy and accessibility, with EU hosting and no trackers.
• A generous free plan with unlimited published charts, a great option for students and small research projects.

Trade-offs:

• A fixed set of chart types; unusual or highly custom graphics need a code-based tool.
• No dashboards that combine multiple charts, and no data exploration like a BI tool.
• Custom branding is an expensive add-on.
• Published charts are public, so it is not for confidential internal reports.

How Datawrapper compares

• Power BI: a BI tool for dashboards and data analysis inside an organization.
• Google Sheets: quick built-in charts next to your data, with fewer design and embed options.
• Observable: code-based data visualization for custom and interactive graphics.
• Canva: design-first graphics for social media and presentations, with simple charts.
• Airtable: a database with basic charts in its interfaces rather than publishing-grade graphics.

Is Datawrapper worth it?

Datawrapper is worth it for journalists, researchers and organizations that publish charts, maps and tables on the web and want them accurate, accessible and consistent. The free plan covers most individual needs, and Pro and Business add branding, exports and team controls at a modest price per user. It is less of a fit when you need interactive dashboards, data exploration or unusual chart types, where Power BI or a code-based data visualization library suits better. If you want help to visualize data or connect Datawrapper to your data source, the agencies and developers on LowCodeDevs can take it on.

Sources

• Datawrapper pricing: plans, prices, custom theme add-on and API pricing.
• Privacy policy and embed privacy: EU hosting, GDPR and no trackers.
• Datawrapper Academy: accessibility and live updates.
• Ten years since the Datawrapper beta: company history.
• Using Datawrapper, Urban Institute: how a research team uses it.
• Datawrapper review, LowCode Agency: limits and comparisons (written by an agency; its figure of $599 a year for the paid plan does not match the current per-user pricing on Datawrapper's pricing page).