dataframe VS ksp

For working with datasets (loading and processing), I use Kotlin DataFrame. It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data analytics. I also use the Kandy - Kotlin plotting library, designed specifically for full compatibility with Kotlin DataFrame. It brings many types of plots (including statistical) with rich customization options via a powerful Kotlin DSL. The best way to run all of this is Kotlin Notebook. It works out of the box, has native rendering of Kandy plots and DataFrame tables, and has IntelliJ IDEA support. It can also be run in Jupyter notebooks with a Kotlin kernel and on Datalore.

kotlin-dataframe only supports JVM, it is not (yet) a multiplatform library and cannot be used in Kotlin/JS projects. https://github.com/Kotlin/dataframe/issues/24

Kotlin DataFrame is a library for in-memory data manipulation

google/ksp is one of the lightweight compiler plugin. We can easy to create compiler plugin with simple syntax. It's set as stable last year.

google/ksp is one of the lightweight compiler plugin which is developed by google. Some jetpack libraries are supporting that configures with ksp (ex: room).

Some guys consider it as a bug.https://github.com/google/ksp/issues/969

Links: GitHub Repo : https://github.com/aniketbhoite/ksp-my-event Google KSP Doc: https://github.com/google/ksp KotlinLang KSP Doc: https://kotlinlang.org/docs/ksp-overview.html

If you ever come back to it, check out https://github.com/google/ksp, it's relatively new but I think it might be a great fit for the project.

Fyi ksp handles tracking this for incremental builds, you may be able to see what they are doing?

I'd like to further iterate on all these patterns in some form of codegen library in the future, as compiler plugins start to mature. I'm hopeful for a multiplatform version of Kotlin Symbol Processing to help with this, though this won't be possible before Kotlin 1.5.20 at the earliest due to missing extension points in the Kotlin compiler. Fingers crossed for something this summer I guess.

Well, KSP is developed by Google, so you should ask them for more documentation, I think :) For compiler plugins -- yes, JetBrains should at some point invest some time and create at least the basic documentation for compiler plugin authors. But first of all, we need to create the public compiler API itself. We are going to do that after releasing the JS IR back-end.