PeopleInSpace VS kotlin-jupyter

I'm already using this structure with one of my projects and I found the experience really pleasant. There are good examples of doing it, one of them being: https://github.com/joreilly/PeopleInSpace

It does work with iOS. You just have to structure it in a way that'll work well. See the People In Space repo to see how it works with iOS

I mostly walked into the setup. My team already did a lot of heavy lifting. I will try to piece together something for the structure/template. Meanwhile, lot of samples are already present here : https://kotlinlang.org/docs/multiplatform-mobile-samples.html Specially https://github.com/joreilly/PeopleInSpace

Here's a project using it.

For DI take a look at Koin. It's a pragmatic lightweight dependency injection framework for Kotlin developers with multiplatform support. PeopleInSpace sample project uses it.

You might be interested in this project https://github.com/joreilly/PeopleInSpace

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.

That is true for the Plugin, but you can get the Kotlin Kernel for Jupyter Notebooks separat. https://github.com/Kotlin/kotlin-jupyter

Kotlin kernel for IPython/Jupyter