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Supercharge working with data

Figlinq is a no-code platform for data management, analysis, visualization, publishing & reuse

A Collaborative data Haven: Figlinq is more than just a platform; it's a workspace. Analyze, visualize, manage, share, and publish your data all in one place.

Stay Connected: With Figlinq, the bond between publications, plots, figures, and the underlying data is unbreakable. Every element is findable, accessible, and reusable by peers.

The Guide for Your Manuscript: From the initial stages to final publication, Figlinq is with you. Store, organize, and analyze your data in a familiar, spreadsheet-like ambiance. With dozens of statistical tools at your disposal, data management has never been this seamless.

Visualize and Share: Choose from over 40 types of interactive, scalable plots and merge them into comprehensive figures. Share your work effortlessly, be it with co-authors of a manuscript or members of a research group.

Publish with Transparency and Power: The pinnacle of Figlinq's capabilities lies in its publishing feature. With a single click, embed your data and plots into publications. These smart manuscripts are eternally linked to their source data, amplifying the potential for reuse and transparency.

Documentation outline

This documentation covers all major functionalities of Figlinq:

  1. AI assistant - a powerful tool for data analysis and visualization, based on the Excel-like formulas, which have been expanded to include a widening range of statistical analysis methods.
  2. Managing files. This section describes how to enter, upload or import your data or images, how to organize the files in your private workspace, how to share them with your team, collaborators or the world, and how to publish smart manuscripts!
  3. Analyzing data. This section describes the data analysis possibilities, based on the Excel-like formulas, which have been expanded to include a widening range of statistical analysis methods.
  4. Visualizing data. This section contains information on the extensive data visualization capabilities of Figlinq, powered by Plotly's plotly.js.
  5. Figures. This section describes how to create press-ready, interactive figures using our online Figure Editor!
  6. Collections. - a powerful tool for visual and organized approach to ensure that the interactive content is displayed in a structured and appealing manner. Whether you're preparing research papers, presentations, posters, or any other document, the Collection Editor streamlines the process of grouping, sharing, and collaborating.
  7. API. Figlinq offers access to many of it's functionalities via an application programming nterface (API). The API is a RESTful, which means that it uses HTTP requests to GET, PUT, POST, PATCH and DELETE data. This section includes examples of how to use the API to access and upload your data and plots from Python, Matlab and R.


Figlinq is based on the Chart Studio - a browser-based data visualization environment developed by Plotly Inc. At the heart of this platform rests plotly.js, the powerful open-source javascript plotting library, used by millions worldwide. For data manipulation and processing, Figlinq relies on jSpreadsheet and various jSpreadsheet plugins developed by Guillaume Bonnaire.

Figlinq is deployed on Google Cloud Platform's servers located in The Netherlands.

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This documentation is a work in progress, please excuse any omissions, brevity or errors. Until we're ready, if you have any questions please visit our feedback forum.