Getting Started

Fire up scala-cli (needs scala > 3.7.0)...

scala-cli --dependency io.github.quafadas::dedav4s:10.0.0-RC5 --scala 3.7.0

Then,

import viz.PlotTargets.desktopBrowser
import viz.vegaFlavour
import viz.Plottable.ppSpecUrl

viz.vega.plots.SpecUrl.BarChart.plot

And a browser window should have popped up, with a bar chart in. It should look very similar, to the chart plotted out of scala JS, below.

If you are using it in a project context;

Scala cli

//> using dep io.github.quafadas::dedav4s:10.0.0-RC5

ammonite / mill

import $ivy.`io.github.quafadas::dedav4s:10.0.0-RC5`

SBT

libraryDependencies += "io.github.quafadas" %% "dedav4s" % "10.0.0-RC5"

Now, scala JS. The JS API is different given the different control flow.

import viz.vegaFlavour
import viz.mod
val chart = viz.vega.plots.SpecUrl.BarChart.jsonSpec.mod(
  List(
    viz.Utils.fillDiv
  )
)
val chartSpec = upickle.default.write(chart)
viz.doc.JsDocs.showSpec( chartSpec , node, 50)

Excitingly, the chart we plotted out repl (JVM) and the chart displayed here, share the same definition!

That promise - explore in the JVM and publish in scala JS is attractive for me. Further, with playwright we can make charting unit testable - We'll come back to that later.