Chimney VS Converter

But yeah, I wonder if using a tool for case classes conversion like https://github.com/scalalandio/chimney would help in managing those ADT hierarchies for DB/business logic/web layer/etc.

Hello, if you have some nice examples could you please check if it's something that would fit any of issues planned for 0.7.1 or create a new one?

Perhaps, https://github.com/scalalandio/chimney would leverage it.

Thankfully, there are some solutions that can help reduce the boilerplate of these manual conversions. For instance, chimney : https://scalalandio.github.io/chimney/

I want to upgrade one project to Scala 3.1, but I'm using the macro heavy chimney (https://github.com/scalalandio/chimney) to reduce the boilerplate, which is not available for Scala 3 yet. My idea was to copy and paste the code that chimney generates on 2.13, and after that uncomment the uses of chimney for now.

In my $dayjob we originally used Scala, but I pushed for a couple of new services to be written in TypeScript/Node as it was really hard to hire Scala developers. I'd say it worked well, we even took a somewhat functional approach to building things. We tried fp-ts but that was a bit hardcore (when you are trying to hire TypeScript developers who don't know functional programming), so just built Either and Option types which provided 99% of what we needed.

There are still a few things I miss though:

* Pattern matching and exhaustive checking. Using a switch statement it is possible to define a function that can emulate the compile-time exhaustive checking, but it's still rather weak compared to what you can do in Scala.

* Implicits. Being able to define something that can convert say a UUID to a String or vice versa automatically just feels like magic, especially when dealing with data from third party systems.

* Compiler macros and metaprogramming. It enables tools like Chimney (https://scalalandio.github.io/chimney/) to be built, which I don't think are possible with TypeScript right now.

Converting between these classes can add some boilerplate, but luckily there are libraries like https://github.com/scalalandio/chimney that make it much easier.

The longer story is that st-material-ui incorporates https://github.com/ScalablyTyped/Converter/pull/487 in order to get much, much cleaner API. You'll probably have seen the fake literal types, some rewriting from type unions to inheritance, things like that.

Given that you want interoperability with js, I'd start by playing with https://scalablytyped.org/, then, play with the scalajs-react demos (https://github.com/ScalablyTyped/ScalaJsReactDemos) and the slinky demos (https://github.com/ScalablyTyped/SlinkyDemos). There are some libraries that scalablytyped doesn't support pretty well but you can leverage https://github.com/nafg/scalajs-facades for those.

ScalaJS is awesome. Really solid and mature project, can totally recommend.

The only thing that can be annoying is when you want to have a typesafe interface and have to write a lot of adapters for javascript libraries.

Fortunately there is even a project that can make use of typescript interfaces for those libraries, so that you can use them from ScalaJS more or less automatically: https://scalablytyped.org/

I'm using it mostly for full-stack web development with ScalaJS (https://www.scala-js.org) in the frontend (https://outwatch.github.io/docs/readme.html) and in the backend with AWS lambdas.

The ecosystem is currently in the process of porting all the libraries to Scala 3. So if you're new to Scala, I'd recommend to start with Scala 2, which is rock-solid and already very powerful.

I never worked with SQLAlchemy. But on the scala database side, popular libraries are Doobie (https://tpolecat.github.io/doobie) and Quill (https://getquill.io). Keep in mind that these are for Scala on the JVM. On the ScalaJS side I'm using the javascript library pg. But I'd like to try if it works well with Prisma soon.

The nice thing about ScalaJS is, that you can use Javascript libraries. And if there are typescript facades, then you can transpile these to Scala and use them in a type safe way (https://scalablytyped.org).