spring-native
kotlindl
Our great sponsors
spring-native | kotlindl | |
---|---|---|
19 | 16 | |
2,772 | 1,400 | |
- | 1.6% | |
8.6 | 5.7 | |
about 1 year ago | 7 months ago | |
Java | Kotlin | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
spring-native
-
Measuring Java 11 Lambda cold starts with SnapStart - Part 4 Using Spring Boot Framework
It was probably not a very good idea to write Lambda using Java programming language and Spring Boot Framework. Despite the well-spread usage and knowledge of this framework, the fact that Spring (Boot) heavily uses reflection and takes time to start the embedded Web Application Server led to very big cold starts which we'll explore in the next section. But now with SnapStart on AWS and GraalVM Native Image Support we have two more options how to optimize those cold starts. So let's explore how to write Lambda function using the Spring Boot. The code of this sample application (the same as for the first 3 parts but rewritten to use Spring Boot) can be found here. It provides AWS API Gateway and 2 Lambda functions: "CreateProduct" and "GetProductById". The products are stored in the Amazon DynamoDB. We'll use AWS Serverless Application Model (AWS SAM) for the infrastructure as a code.
- Compile the Minecraft Server (Java Edition) to Native with GraalVM Native Image
-
Introducing Spring Native for JHipster: Serverless Full-Stack Made Easy
During this experience, I was surprised to find that Spring Native doesn't support caching yet. I believe this support will be added by the community soon. In the meantime, if you're looking to start/stop your infra as fast as possible, you probably don't care about caching. Caching is made for long-lived, JVM-strong, JVM-loving apps.
- Spring Native – Native Executables for GraalVM Image Compiler
-
Podrá Spring Native revivir a Java?
fuente: https://spring.io/blog/2021/03/11/announcing-spring-native-beta
-
Annotation-free Spring
As I just found out thanks to a comment from another Redditor, spring-aot will be getting some functional configuration compile time generation support in Spring Native's next release
-
Curious about opinions of the best cloud native microservice Java framework
Not sure how far they are currently, but have you heard of Spring Native? https://spring.io/blog/2021/03/11/announcing-spring-native-beta
-
"Java Guitar Hero!", — Hanno Embregts
I have to say Spring. Because it is so mature and well-documented. Sure, it is bloated sometimes and not very well-suited for small JAR packages. And I have tried other frameworks as well, but I find that I keep returning to Spring. Especially since Spring keeps adding features that caused competing framework to have an edge over Spring, like native images with Spring Native for example.
-
Kotlin Team AMA #3: Ask Us Anything
Our next steps are : provide great Kotlin/JVM/Native (Native with Kotlin JVM via GraalVM native images) support via https://github.com/spring-projects-experimental/spring-native/, empowering multiplatform development (with Kotlin/JS frontend for example), translating Spring Boot documentation to Kotlin (via a contribution from Kotlin team), make sure that some APIs like WebTestClient currently broken with Kotlin due to some type inference bugs with recursive generic types become usable.
-
Is it right to use Spring & Spring boot?
I doubt micronaut has better runtime performance. You're probably talking about startup time and this point is moot with either https://github.com/dsyer/spring-boot-auto-reflect Or https://spring.io/blog/2021/03/11/announcing-spring-native-beta
kotlindl
- is it posssible to add an a python AI tensorflow script inside kotlin for android?
-
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
- Implementing a object detection into a kotlin mobile application
-
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.
-
KotlinDL 0.3 Is Out With ONNX Integration, Object Detection API, 20+ New Models in ModelHub, and Many New Layers
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?
-
Machine Learning in Kotlin (Question)
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.
-
Numpy for kotlin
For deep learning this is your best bet: https://github.com/jetbrains/kotlindl
-
Kotlin Team AMA #3: Ask Us Anything
So, the KotlinDL library could solve classification and regression tasks on tabular data and image data.
-
Show HN: Shape-Safe Symbolic Differentiation with Algebraic Data Types
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/
What are some alternatives?
ktor - Framework for quickly creating connected applications in Kotlin with minimal effort
KorGE - KorGE Game Engine. Multiplatform Kotlin Game Engine
Quarkus - Quarkus: Supersonic Subatomic Java.
htmx - </> htmx - high power tools for HTML
Micronaut - Micronaut Application Framework
Decompose - Kotlin Multiplatform lifecycle-aware business logic components (aka BLoCs) with routing (navigation) and pluggable UI (Jetpack Compose, SwiftUI, JS React, etc.)
kotlinx.serialization - Kotlin multiplatform / multi-format serialization
kotlin-wrappers - Kotlin wrappers for popular JavaScript libraries
Spring Boot - Spring Boot
tensorflow-keras-scala - Scala-based Keras API for the Java bindings to TensorFlow. Mirror of https://codeberg.org/sciss/tensorflow-keras-scala
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
kotlinx-datetime - KotlinX multiplatform date/time library