Decompose
kotlindl
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Decompose | kotlindl | |
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20 | 16 | |
1,902 | 1,391 | |
- | 1.9% | |
9.2 | 5.7 | |
10 days ago | 6 months ago | |
Kotlin | Kotlin | |
Apache License 2.0 | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Decompose
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What do you use for compose navigation?
I use Decompose, although I also have a kmp project which that supports. I find the compose extensions providing a very easy API when integrating with compose.
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Anyone here who uses compose-multiplatform for desktop apps, what’s your feedback?
For one of our apps we used https://arkivanov.github.io/Decompose/ for navigation. It is mentioned in the Compose Multiplatform repo, but we found it pretty obscure to use and it has some confusing concepts built in.
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Single Activity Apps: Fragments vs Views in 2022
I don't have much experience with conductor, so I'm curious what your concerns about lifecycle is lacking compared to fragments? But if your team already knows that framework I might just stick with views over fragments. I see there is a compose integration if you do ever plan on picking that up with conductor. Otherwise compose makes fragments obsolete and your team already knows conductor. I do agree the navigation story in compose is not mature especially after jetpack compose navigation. But there are other 3rd party libraries like compose destinations or decompose, but would be nice to see something better 1st party.
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Which navigation library for compose do you suggest?
I personally like decompose for its testability, clear separation of concerns, and apis for compose animations. Plus it's multiplatform so you can use it for other kmp targets.
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Is MVI way to go for new applications with compose
Full discretion, all my new apps are built using mvi with MVIKotlin and decompose for the compose extensions for navigation animations. A sample project I have built with that architecture can be found here.
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Decompose VS appyx - a user suggested alternative
2 projects | 30 Aug 2022
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Appyx - Application mechanics for your Android apps, built on top of Jetpack Compose (Navigation)
Check out Decompose, it's multiplatform - https://github.com/arkivanov/Decompose
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Received a job offer letter with "All inventions developed by you during your period of employment with the Company will be deemed as the property of the Company." Its a Web dev job. How would this affect my mobile app dev hobby. I occasionally publish apps/games to PlayStore.
Decompose
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ViewModels & Compose: State/StateFlow/Lifecycle
I personally don’t like the idea of mixing compose state in the view model layer, as that implies it can only work with compose. But I also have been writing a kotlin multi platform app which exposes the state to SwiftUI using a custom data type with decompose
The custom wrapper is called Value which is just a platform agnostic state holder. Then there is an extension function you can use in compose to observe that state in compose.
kotlindl
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Kotlin Deep Learning Android app - Working
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
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What libraries do you use for machine learning and data visualizing in scala?
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.
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KotlinDL 0.3 Is Out With ONNX Integration, Object Detection API, 20+ New Models in ModelHub, and Many New Layers
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?
Introducing version 0.3 of our deep learning library, KotlinDL.
The answer to the second question (from the GitHub page):
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Machine Learning in Kotlin (Question)
I'm not in Machine Learning but maybe KotlinDL ?
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.
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Numpy for kotlin
For deep learning this is your best bet: https://github.com/jetbrains/kotlindl
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Kotlin Team AMA #3: Ask Us Anything
Please, visit our tutorials and examples for KotlinDL. It covers all possible use-cases for AI implementation at this moment.
Regarding AI: currently, you implement neural networks for solving classification and regression tasks for tabular data, or in Computer Vision with Kotlin Deep Learning Library (KotlinDL).
What are some alternatives?
voyager - 🛸 A pragmatic navigation library for Jetpack Compose
PreCompose - Compose Multiplatform Navigation && State Management
Appyx - Model-driven navigation + UI components with gesture control for Compose Multiplatform
koin - Koin - a pragmatic lightweight dependency injection framework for Kotlin & Kotlin Multiplatform
Kotlin-Multiplatform-Libraries - Kotlin Multiplatform Libraries. Welcome PR if you find or create new Kotlin Multiplatform Library.
compose-samples - Official Jetpack Compose samples.
KorGE - KorGE Game Engine. Multiplatform Kotlin Game Engine
compose-multiplatform - Compose Multiplatform, a modern UI framework for Kotlin that makes building performant and beautiful user interfaces easy and enjoyable.
kotlinx.coroutines - Library support for Kotlin coroutines
kotlin-multiplatform-libsodium - A kotlin multiplatform wrapper for libsodium, using directly built libsodium for jvm and native, and libsodium.js for js targets.
htmx - </> htmx - high power tools for HTML
PeopleInSpace - Kotlin Multiplatform project with SwiftUI, Jetpack Compose, Compose for Wear, Compose for Desktop, Compose for Web and Kotlin/JS + React clients along with Ktor backend.