The authors created Bertifier (project page [1], demo [2], paper [3]); the paper has comparisons to other tools.

There was a paper at IEEE VIS last year ("Guiro: User-Guided Matrix Reordering" [4]) about a tool that implemented > 70 matrix seriation/reordering methods, but I don't think the code is available. There was also a State of the Art Review on matrix re-ordering methods from 2016 [5, 6]: it is mostly about the algorithms rather than available implementations, but it mentions reorder.js [7].

[1]: https://aviz.fr/bertifier

[2]: https://aviz.fr/bertifier_app/

[3]: https://aviz.fr/wiki/uploads/Bertifier/bertifier-authorversi...

[4]: https://vcg.seas.harvard.edu/publications/guiro-user-guided-...

[5]: https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.12935

[6]: https://bib.dbvis.de/uploadedFiles/MatrixReorderingSTAR.pdf

[7]: https://github.com/jdfekete/reorder.js

O wow, what a fantastic reply. Thanks a lot for all those delicious links!

d3.js and Observable are a good place to start, you may need to provide your own sorting/ordering algorithm

[edit] and you can also now easily do this in MS Excel

Thanks, I was imprecise, visualizing I can do. It's the sorting algo I was curious about

Nearest neighbor ordering algorithms (hierarchical clustering, dendrograms) are well suited for sorting the items in either or both axes. If either axis relates directly to a physical dimension then it might be best to maintain that order in the matrix. A lot of the fun is in working out how to measure distance between items based on their values as that drives the results of the nearest neighbor order.

This is often referred to as a bubble chart, and most common graphing libraries support it. An alternative would be a scatter plot with three variables where the third variable, value in your case, is coded by color.