A web-based tool for creating charts, maps, and tables used by news media, governments, and organizations.
Datawrapper is a web-based tool for creating charts, maps, and tables quickly and efficiently. It solves the problem of producing publish-ready visualizations for various channels including web, mobile, and print. Organizations use it to communicate data clearly without extensive technical overhead.
News media organizations, think tanks, universities, governments, and other institutions that need to create professional data visualizations for publication. It's particularly valuable for teams that require fast turnaround on visual content.
Developers and organizations choose Datawrapper for its speed, ease of use, and professional output quality. The tool provides a streamlined workflow for creating responsive visualizations that work across multiple publishing channels without requiring deep technical expertise.
Utility functions developed for Datawrapper
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Datawrapper emphasizes speed with a streamlined web interface, allowing users to quickly generate charts and maps without coding, as highlighted in the key features for fast chart creation.
Trusted by news organizations, governments, and universities, it produces publish-ready visualizations for multiple channels like web and print, ensuring high-quality results suitable for professional use cases.
Visualizations are designed to work across web, mobile apps, and print with responsive design, as stated in the features for building across different devices and screen sizes.
The project provides an Academy with help docs, training materials, and a blog with best practices, offering comprehensive support for users to improve data visualization skills.
Datawrapper is primarily a hosted web tool at datawrapper.de, so users rely on an external service for core functionality, which can lead to vendor lock-in and potential downtime issues not addressed in the README.
As a GUI-based tool, it offers less flexibility for developers who need to customize visualizations at the code level compared to JavaScript libraries like D3.js, with the GitHub repo containing only utility functions, not the full application.
While an API is documented, integrating Datawrapper into custom workflows requires understanding the API, which might add overhead for technical teams, and the README doesn't provide code examples for common integration scenarios.