I got really tired of visualization and decided to give some love to kmath. I am currently finalizing design for general array statistics (nothing as fancy as in kotlin-statistice, just the core API). The innovation is the ability of streaming analysis. Meaning you do not have to load the whole data into memory, but you can acquire it in chunks and then have online information about how does the statistic change with the flow of new data (a lot of possibilities for visualization). One could use it to analyze really-really big data (and yes, it works in parallel). @thomasnield, do you have any ideas of real-life example for such thing? It would help if I had some application in mind.
Some statistics like median could not benefit from streaming, but most of them could be made to work with it.