reactor-core
Kategory
reactor-core | Kategory | |
---|---|---|
21 | 32 | |
4,813 | 5,963 | |
0.3% | 0.4% | |
9.4 | 8.8 | |
7 days ago | 7 days ago | |
Java | Kotlin | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
reactor-core
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Is it wrong to use "try-catch" inside a reactive stream operator (project reactor)?
I was exploring reactive streams with project reactor and I encountered a use case where I needed to skip to the next event if an error occurred during the processing of the current event (e.g. deserialization issue).
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Modern Async Primitives on iOS, Android, and the Web
Kotlin also has a construct for asynchronous collections/streams. Kotlin's version of AsyncSequence is called a Flow. Just as Swift's AsyncSequence builds upon prior experience with RxSwift and Combine, Kotlin's Flow APIs build upon earlier stream/collection APIs in the JVM ecosystem: Java's RxJava, Java8 Streams, Project Reactor, and Scala's Akka.
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Alternatives to scala FP
Java's projectreactor.io ? It is widely used in Java world, see Spring WebFlux.
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Hydroflow: Dataflow Runtime in Rust
I guess more a closer comparison would be with the Project Reactor https://projectreactor.io/ which is also a low level framework for data processing.
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Reactive Backend Applications with Spring Boot, Kotlin and Coroutines (Part 1)
Spring Framework is one of the most popular choices for web applications. It comes with a great ecosystem, tooling, and support. Spring applications are mainly written in Java. While they can serve quite well in many different domains and use cases, they may not be a good fit for modern-day applications which require low-latency and high-throughput. This is where the reactive programming paradigm could help because the paradigm is designed to address these issues by its non-blocking nature. Spring already supports reactive programming via Project Reactor.
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Brief Intro to Reactive Streams with Project Reactor
The reactive streams API provides the specification for non-blocking async streams processing with back pressure mechanism, and Project Reactor is an implementation written in java.
- Angular for Junior Developers: Promises vs Observables
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How much of real world programming involves using containers and for loops?
https://projectreactor.io/ https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html https://rxjs.dev/ https://developer.android.com/kotlin/coroutines https://developer.apple.com/documentation/combine
- Spring Reactor
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Reactor bad, Loom good - but how will the landscape shape out?
With respect to Loom, it could be much easier for synchronous and reactive code to interoperate using schedulers that take advantage of Loom. The impact of Loom on Project Reactor was discussed in #3084, you might find it interesting.
Kategory
- Arrow Project for Arrow on GitHub
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Java 21 makes me like Java again
Yeah, it has nice funcional capabilities and libraries (like Arrow[0]).
[0]: https://arrow-kt.io
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Is it prudent to use Scala for anything new?
Last but not least, Scala is currently the language with one of the best effect systems in my opinion (https://zio.dev/). Kotlin for example has copied the approach with https://arrow-kt.io/ which I think is great actually. But when comparing Scala and Kotlin here, Scala wins by a large margin, it is a completely different world. It's like building a highly concurrent system in Erlang vs C.
Of course, if you don't want to learn things like union types, traits/typeclasses and effects (similar to async/await but more powerful) you will be annoyed by Scala. But once you learned them, you can never go back.
- Alternatives to scala FP
- Result Class with Generic Type for both Success and Failure States
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Struggling with software robustness with Kotlin
In my own code, I started to use explicit error handling. I'm currently experimenting with Result (from https://github.com/michaelbull/kotlin-result) and Raise (from https://arrow-kt.io/).
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Hey Rustaceans! Got a question? Ask here (5/2023)!
Are there any more-or-less established functional crates in Rust (similar to Kotlin’s Arrow)?
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What's the benefit of using Arrow with Kotlin?
I wonder how the community sees adding Arrow besides standard Kotlin language features. Is it something that's still considered useful or just redundant and causing more confusion?
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ArrowKt/FP - Tracking paths to validation errors
You can define a function like context(EitherEffect) suspend fun MyType.bind(path: String)like the ones in https://github.com/arrow-kt/arrow/blob/b608a054a5318fe57d7055c35bb64a5effb053b6/arrow-libs/core/arrow-core/src/commonMain/kotlin/arrow/core/computations/either.kt
- What advance concept to learn in Kotlin
What are some alternatives?
Reactive Streams - Reactive Streams Specification for the JVM
cats-effect - The pure asynchronous runtime for Scala
RxKotlin - RxJava bindings for Kotlin
RxJava - RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
kotlin-monads - Monads for Kotlin
reactor-kotlin-extensions
kotlin-result - A multiplatform Result monad for modelling success or failure operations.
redux-kotlin - Predictable state container for Kotlin apps
Reduks - A "batteries included" port of Reduxjs for Kotlin+Android
Async Http Client - Asynchronous Http and WebSocket Client library for Java