koin VS katana

Let's see how we can use Koin to achieve Dependency Injection (DI) and incorporate a third-party iOS Swift SDK in a KMM project. Koin supports KMM development, making it the ideal choice for KMM projects.

Might want to tell koin that : https://insert-koin.io/

New modules allow you to easily build KVision apps with the Ballast opinionated application state management framework. You can see how Ballast (together with Koin) can help you design your application architecture in the new todomvc-ballast example.

I started looking into using Kotlin/JS, and hopefully reusing a bit of code that I have, which is using Dagger and Anvil - which of course are JVM only. So I've been looking for other solutions, namely Koin and Kodein. Koin's multibinding support is... not really amazing (e.g. here, and while Kodein does support multibinding, it doesn't seem to support things like that at the declaration site - everything needs to be specified in a "DI container" (module).

Koin

It's a Koin issue, not compose. Discussed here https://github.com/InsertKoinIO/koin/issues/1079

Now I will finish up saying Hilt is just an opinionated way to dependency injection on Android, but there are simpler frameworks out there such as Koin or Kodein that can help take away a lot of the troubles that can come when you try to make your own framework. Just know that most other frameworks tend to be runtime injection instead of compile time injection like Hilt, which can be helpful to know at compile time if you are missing a dependency in your graph as opposed to runtime when its out in the wild.

I've been using Angular a lot and I like how it works. I'm also a huge fan of koin for kotlin.

for injection, I suggest Koin (https://insert-koin.io/)

Using a few different methods. Pulling the sites I'm using Puppeteer and Katana (https://github.com/projectdiscovery/katana). To process and extract the information is tricky, most websites selling things put time into their metadata; this does make it easier. Additionally, a lot of the larger stores have common patterns between them. Failing all of this, I trained a Tensor flow model to understand how to read product pages. However, it's far from perfect and a journey of continual improvement.

Anyway, check out katana https://github.com/projectdiscovery/katana

Checkout https://github.com/projectdiscovery/katana It is right up there with any advanced web scraper you will find in python world or beyond.