Skip to main content

21 posts tagged with "Figlinq"

View All Tags

Interactive Data Visualization for Everyone

ยท One min read

We're happy to unveil the all-new Guest Mode! In line with our commitment to open science, this feature should be interesting for both registered and unregistered data enthusiasts.

With Guest Mode, you now have the freedom to harness our advanced data visualization tools without the need for an account. This means anyone can jump right into processing, analyzing, visualizing, and sharing their data with ease and efficiency. Whether you're a seasoned researcher or just getting started, the Guest Mode offers a seamless, barrier-free platform to explore, share and showcase your data insights.

Ready to dive into the world of interactive data visualization? Click here to start visualizing and sharing your data right away. For more detailed information about this feature, read the documentation.

Experience the power of hassle-free data visualization with the Guest Mode in our latest release!

Date: 03.08.2023
Release: 2.6.0
Feedback: As always, we appreciate your feedback and suggestions for further improvements at or Feedback Forum.

Elevate Your Data Analysis with Figlinq's New Statistical Toolkit

ยท One min read

We're excited to announce a significant enhancement to Figlinq's spreadsheet in our latest release, 2.6.0. This update introduces a comprehensive range of new statistical formulas, designed to empower researchers with advanced analysis capabilities.

Delve into a wide array of statistical methods now at your fingertips, including T-tests, Chi-squared tests, Fisher's exact test, Barnard's test, the binomial test, the sign test, the Mann-Whitney U test, and ANOVA. These additions are tailored to facilitate more robust and diverse statistical analyses, enabling you to explore and interpret your data with greater depth and precision.

For detailed information on how to utilize these new formulas, please visit our statistical formula documentation page. Your feedback is vital to us, so if there's a specific formula you'd like us to include in future updates, don't hesitate to submit a feature request.

Join us in embracing the new possibilities for data analysis with Figlinq 2.6.0!

Date: 27.07.2023
Release: 2.6.0
Feedback: As always, we appreciate your feedback and suggestions for further improvements at or Feedback Forum.

Introducing Interactive Web Embedding

ยท One min read
Figlinq Official Website

We're thrilled to announce an exciting feature in our latest update, Figlinq 2.6.0 - the ability to embed external websites directly into your figures! Now, when you add static images to your figures using our figure editor, you can link them to any external webpage. The magic happens when these figures are switched to interactive mode: the linked webpage comes alive right within your figure, thanks to an integrated iframe!

Imagine enhancing your research visuals with live interactive visualizations, streaming videos, or dynamic tools, all seamlessly integrated into your figures. This new functionality opens a world of possibilities for researchers looking to present data in more engaging and interactive ways. Dive into the new era of dynamic research presentation with Figlinq 2.6.0!

Date: 20.07.2023
Release: 2.6.0 Feedback: As always, we appreciate your feedback and suggestions for further improvements at or Feedback Forum.

Figlinq 2.2.0 released

ยท 2 min read

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€โ€‹

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“Šโ€‹

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“ˆโ€‹

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!

ยท 2 min read
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 analysisโ€‹

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 editorโ€‹

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 experienceโ€‹

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 visualizationโ€‹

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 editorโ€‹

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

Startup grant for Figlinq!

ยท One min read

We are delighted to announce that Figlinq has been awarded the prestigious Take Off grant by the Dutch Research Council (NWO) - the most important science funding body in the Netherlands that promotes quality and innovation in science and technology. The NWO Take Off grant is a highly competitive program that provides critical resources and mentorship to early-stage companies with high potential for commercialization. This grant is a significant validation of our commitment to pushing the boundaries of what is possible in data science and technology. We are thrilled to have this recognition, and we look forward to using the funding to grow our impact, build new partnerships, and create more innovative data solutions for our clients and partners.

See this link for more information about the Take Off grants and other awardees.

Smart manuscripts

ยท 3 min read

In our previous post we described the first (Nature!) publication that used Figlinq for creating interactive, data-connected figures and charts, which were included via a single hyperlink. This is easy, convenient and, importantly, 100% compatible with current academic publishing workflows.

But we can do much better than this.

Enter smart manuscript - an ever-evolving, liquid concept of a manuscript containing more than just text, pictures and videos. While a few individual scientists have been including links to interactive charts in their publications for over half a decade, F1000 Research was perhaps the first academic publisher to embrace this within its workflow. F1000 also enabled readers to control parameters for some of the charts, and even introduced the first living figure, which (still) enables scientists to add new versions of the presented data.

A few years have passed since these pioneering attempts, and with the recent advancements of interconnected digital (web) technology, the potential of smart manuscripts has become essentially limitless. One illuminating illustration of this potential is the Executable Research Article (ERA), introduced by eLife, in collaboration with Stencila. ERA allows inclusion of executable code blocks which can, for instance, ingest source data, process it and spit out a chart or table (but imagine what else it could do, given some extra code!). These blocks can then be examined and re-run, in real-time, by those readers who wish to adjust the analysis steps and/or parameters. Alas, for the time being, the flexibility and scope of ERAs and similar solutions demand some serious effort, as well as programming skills that may be beyond the reach of most scientists.

So, we created our own version of a smart manuscript! We based it on the same Nature paper described in our previous post, but now all 126 panels are embedded directly in the online document, where they can be interacted with, edited, forked, shared, etc. As all Figlinq's charts, they are permanently data-connected. And as we learned to expect, the manuscript behaves well on large as well as small screens, with charts maintaining their interactivity via touch on a mobile device or tablet.

Figlinq's first smart manuscript

Right now, this is just a technology preview - a sneak peek at what's inevitably around the corner. What's next? We're exploring possibilities to provide such next-generation manuscripts at scale (we will likely need help from academic publishers!). We are also reaching out to forward-looking organizations (such as eLife or F1000) to see whether Figlinq's interactive figures can become building blocks for the future smart manuscripts. Please let us know if you have any suggestions and - stay tuned!

First (Nature!) publication using Figlinq

ยท 2 min read

Even though stil in beta phase, Figlinq has been used to create and publish interactive, data-connected figures for a major publication in the high-impact journal Nature. In this paper, Sanne van Neerven and colleagues explore the molecular mechanisms driving initiation of intestinal tumors and discover that lithium chloride - a drug already used for treatment of depression - inhibits the growth of these tumors in mice.

Nature publications tend to be data-heavy beasts, and this one is no different: 14 figures, composed of 126 panels, including 46 images and 117 individual charts, if we count correctly. In this particular case, all original (static) figures were finalized even before Figlinq existed, so the authors recreated all of them using our platform. In the process, the charts became (automatically) linked to the underlying data that can now be accessed via each individual chart. Each chart can also be edited (and data inspected or downloaded) by anyone, with or without Figlinq account. Figlinq's users can, moreover, fork the charts (plus data) and save them to their own workspace for reuse or re-analysis!

Here are two particular charts from this publication: a heatmap with 2 382 data points from Figure 2 and a volcano chart with 17 378 data points from Figure 3.

All interactive figures from this publication - of course permanently connected to the underlying data - are available on Figlinq.

The original paper can be found on Nature's website.

Website is live

ยท One min read

We're half-alive! Figlinq's beta website has been launched, with documentation at it's heart. Excellent documentation among the most important goals for our website. We therefore built it on Docusaurus - open source, lightning-fast, fully responsive documentation-centric web creation framework. Coming up soon: web application!