My humble contribution to today’s Kotlin night in Frankfurt: Kotlin’s emerging data-science ecosystem https://holgerbrandl.github.io/kotlin4ds_kotlin_night_frankfurt/emerging_kotlin_ds_ecosystem.html

looks great! will the organizers upload the presentation video?

Unfortunately, there is no recording. But I’d happy to answer your questions!

Good work

Thanks a lot for mentioning us. We have nearly 80% of d3js features. Still work to do on APIs and global coherence but it shouldn’t be too long now.

@holgerbrandl great stuff, some friends and I have discussed a proper Spark lib for Kotlin similar in scope to https://github.com/typelevel/frameless with the goal of bringing better Typed Datasets to Kotlin and a module that provides FP type class instances for the Arrow type classes.

Thanks for the great pointer @raulraja. I loved the intro about

TypedDataFrame

and especially the revealing closing remarks about arity.

krangl

is considerably less typed, and also don’t know if we could express complex types such as

TypedDataFrame[(Address, String, Double, String)])

in a generic way with kotlin at all. But seeing the need for intermediate case classes (like

Family

), I think I’m on the right track with the less typed DataFrame impl in

krangl

.

We will consider depending on

krangl

as an underlying impl and provide a strict typed API a top, thanks for the great library!

looking forward to it. 🙂