ktor VS kotlindl

Ktor, a powerful web framework built with Kotlin, offers a lightweight and flexible solution for building web applications. In this article, we will guide you through the process of creating a Ktor project manually using Gradle and SDKMAN!. By following the steps below, you'll have a basic Ktor project up and running in no time.

take a look at http4k and ktor for Kotlin specific frameworks Spring has first class support for Kotlin e.g. the following will give you reactive HTTP endpoints when using spring-webflux (this is what is use at work):

Ktor (Microservices framework by JetBrains)

For Android you should use a more mobile friendly framework like Retrofit or if you use Kotlin you can use the multi-platform Ktor library with it's client module

And last but not least, Ktor Client as our HTTP client. https://ktor.io/ It's a pretty amazing http client library and integrates well with Kotlinx serialization and Coroutines.

Kotlin is going to be great with almost every single JVM server. Spring works well with Kotlin, and is directly supported, but spring is also massive, very bloated. I recommend looking at https://github.com/ktorio/ktor which continues to serve all of my needs very well, integrates fantastically with Kotlin coroutines, and has very fast startup time and very good performance.

For the sake of the test, we use Ktor - the easiest way to do so is to use initializer.

I know you are looking for Spring Boot and/or Quarkus, but have you tried ktor. Just curios if you had a particular reason for choosing the other 2. Disclaimer: I haven't used ktor.

Check https://ktor.io it's from JetBrains and amazing.

This is a really nice sample app (works out of the box) that Jetbrains have made to showcase the capabilities of this Kotlin Deep Learning library https://github.com/Kotlin/kotlindl

There are Java bindings for TensorFlow, but that's quite low level. I tried to see if I can get some Keras API for Scala, but I'm no expert and haven't had enough time to invest in this, so it's stuck in alpha. Maybe I develop it slow burning over the next year. A bit envious that Kotlin has a Keras-like library.

KotlinDL 0.3 is available now on Maven Central with a variety of new features — check out all the changes that are coming to the new release!

Could you please add an issue with your use-case and proposed solution? Or write here more details. Do you need just serialization to objects in memory? or just in bytes?

While KotlinDL seems to be a good solution by Jetbrains, I would personally stick to Java frameworks like DL4J for a better community support and likely more features.

For deep learning this is your best bet: https://github.com/jetbrains/kotlindl

So, the KotlinDL library could solve classification and regression tasks on tabular data and image data.

Thank you for your feedback! Kotlin∇ is a research prototype for building differentiable programs from basic primitives. If you’re looking for a higher-level API, KotlinDL [1] or KInference [2] might be a better fit for building end-user applications such as image, speech or language processing.

[1]: https://github.com/JetBrains/KotlinDL

[2]: https://github.com/JetBrains-Research/kinference/