I've just spent some time helping a student with Julia build fix. Guys, I am really happy, that we did not take it as a primary language, when we had a choce (took Kotlin instead). It is not that the lagnuage is bad (yet there are some really quesrionable solutions), it is tooling and infrostructure (just who thought that using github commits as versions is a good solution?). Julia is considered popular in data science and finance. I think kotlin is much more convenient.

I think Kotlin will take over .... I mainly use Python (work in finance space). About < 1yr ago, spent couple weeks with the hope that I can start to use Julia as my main tool set, but finally had to give up... Anyway, yesterday saw Kotlin-Jupyter, then played around with krangl, fall in love with it now 👍. Just could not find any visualization took kit as convenient do in Pandas. I have looked at lets-plot, really like it that everything in kotlin, but seems not ready for dataframe to plot (unless you convert dataframe to a map manually)? and tried kravis, seems can not get it working with my setup (ubuntu 20.04, R4.0), --- any suggestions visualization package? (I do not need it have beautiful charts, but something quick/convenient)

We've recently released plotly.kt 0.2.0. jupyter support is still a bit bugged, but it mainly works for jupyter lab and works quite fine outside jupyter. Here is the release video: . Here are even some examples with krangl: https://github.com/mipt-npm/plotly.kt/blob/master/examples/src/main/kotlin/violin/MultipleTracesViolin.kt

Thanks!