I really love kotlin. A hour of work, fifty lines of code and we have dynamic visualization of fully parallel and reactive stream-based simulation of terrestrial gamma-flashes (reactor model). The code is not yet publication-ready, but you can look at it here. Flows are really great for Monte-Carlo simulations (cc @elizarov).

What's the volume of data processed?

It is simulation. It is limited by million events per generation and significantly slower down by adding delay between generations (otherwise it completes emmediately and I can't show the dynamic picture).

nice

What lib are you using here? Letsplot?

Nope, Plotly.kt.

Awesome, what would be most awesome if such a framework would also support controls. E.g. to modulate simulation speed etc. Is there a public repo already?

The controls are planed, yes. The frontend controlls are possible to do in plotlykt-server right now, but I want more general solution. Also you can see JavaFX demo for plotlykt: https://github.com/mipt-npm/plotly.kt/tree/master/fx-demo. It include controls for the plot. The repository for visionforge is here: https://github.com/mipt-npm/visionforge. And demos include custom controls. Right now you need to manually create frontend multiplatform module, but in the end it will be possible to define it on the backend like Dash does on python.

Hi @altavir can we use these modules in any of the community editions of the JB tools? If yes can you please name them.

@zain yes, you do not need JB tools for anything. It is just regular kotlin-jvm code. Plotly.kt is ready to public use. VisionForge just got the update, which allows to use the same functionality, namely defining models on JVM and rendering them automatically on the frontend without any Kotlin-JS injections.

This is not a library issue but having difficulties integrating the library in Intellij. facing this issues https://stackoverflow.com/q/48988778/4083142 tried all the suggested options but still the compiler is throwing the error. Trying to run this specific implementation.

import hep.dataforge.meta.invoke
import kscience.plotly.Plotly
import kscience.plotly.makeFile
import kscience.plotly.models.Pie

/**
 * - basic pie chart
 * - change height and width of the plot
 */
fun main() {
    val values = listOf(19, 26, 55)
    val labels = listOf("Residential", "Non-Residential", "Utility")

    val pie = Pie {
        values(values)
        labels(labels)
    }

    val plot = Plotly.plot {
        traces(pie)
        layout {
            width = 500
            height = 450
        }
    }

    plot.makeFile()
}

Yes, it is a known problem. You have to use Java 8 as a compiler.

Thanks @altavir it got resolved