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Figlinq 2.2.0 released



We're excited to announce the release of a new version of Figlinq. This release includes a number of new features and improvements to the platform. We hope you'll find them useful and we'd love to hear your feedback.

Dramatically improved loading times ๐Ÿš€#

We have split the various parts of the application into smaller code chunks, which means that the different apps load much faster. This is especially noticeable when you open the datavis area: loading time went from 3-4 seconds to ~1.5 second. All other areas of Figlinq now load in under a second!

Data analysis worksheet improvements ๐Ÿ“Š#

In the datavis area, we have added a number of new features:

  • You can now add existing worksheets to the currently open plot.
  • We added a status bar to the spreadsheet that shows the currently selected cells and provides some useful information (e.g. average, sum, count). The status bar also allows you to quickly add new columns and rows to the worksheet.
  • We have fixd a number of bugs related to the undo/redo functionality of the spreadsheet and their connection to the charts, as well as to adding/removing columns.

Plotly.js v2 ๐Ÿ“ˆ#

We have upgraded to Plotly.js v2, which means that you can now use the latest and greatest features of Plotly.js in your plots, which also render faster.

As always, we appreciate your feedback and suggestions for further improvements at

Figlinq 2.0 is here!

Figlinq 2.0 is here!

Figlinq 2.0 is here!

Hello, Figlinq users!

We are thrilled to announce the release of Figlinq 2.0, which comes packed with exciting new features and improvements to enhance your data analysis, visualization and publishing experience. Here's a rundown of what you can expect in our new release.

New spreadsheet for data analysis#

Firstly, we've integrated a new data grid - JSpreadsheet - into Figlinq. JSpreadsheet now allows you to perform data analysis using Excel-like formulas, making it easier to work with complex data sets. In the near future, the grid will also allow performing statistical analysis! This feature will undoubtedly save time and improve efficiency, especially for users who are already familiar with Excel's functionality.

New app - text editor#

We've also introduced a brand new text editor that allows you to create documents that include data-connected, interactive plots and figures, resulting in smart (student) reports with engaging content.

Improved user experience#

Our latest release also includes drag-and-drop functionality, making it more intuitive and user-friendly. This feature allows you to easily move files around, including in the file management area and file popups throughout the application. This function dramatically improves the overall user experience, allowing you to work with large amounts of data more efficiently.

Improved data visualization#

To further enhance the user experience, we have given Figlinq a complete redesign, including a new data visualization theme created in collaboration with Professor Maarten Boers from the Free University of Amsterdam. Our new theme gives the data visualizations a modern and fresh look, while ensuring optimal readability and clarity.

New app - figure editor#

Finally, we've added a new figure editor based on the open-source project SVGEdit, which allows you to create and edit vector graphics directly within Figlinq. This is a powerful addition for users who work with complex visualizations and who need to create customized graphics to present their data in smart publications and reports.

We hope you're as excited as we are about these new features and improvements to Figlinq. We're confident that they will help you analyze, present and publish your data more effectively and efficiently. As always, we appreciate your feedback and suggestions for further improvements at