Modern Async Primitives on iOS, Android, and the Web

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • AsyncExtensions

    AsyncExtensions aims to mimic Swift Combine operators for async sequences.

    In that blog, John makes a note of the AsyncExtensions library, which has several cool Features like merge(), zip(), etc., that you'd expect from other stream/collections API surfaces.

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  • reactor-core

    Non-Blocking Reactive Foundation for the JVM

    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.

  • Netty

    Netty project - an event-driven asynchronous network application framework

    In this space, we also have the somewhat related term blocking. Java's NIO library is one well-known non-blocking tool used for managing multiple tasks on a single Java thread. When listening to sockets, most of the time a thread is just blocked, doing nothing until it receives some data. So, it's efficient to use a single thread for monitoring many sockets, to increase the likelihood of the thread having some actual work to do. The Selector API does this but is notoriously challenging to program well. Instead, developers use frameworks like Netty which abstract some of NIO's complexity and layer on some best practices.

  • Akka

    A platform to build and run apps that are elastic, agile, and resilient. SDK, libraries, and hosted environments.

    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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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