GPars
GPars

2
1
+ 1
0
RxJS
RxJS

636
393
+ 1
4
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RxJS vs GPars: What are the differences?

Developers describe RxJS as "The Reactive Extensions for JavaScript". RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface. On the other hand, GPars is detailed as "An open-source library for high-level concurrency in Groovy". It is an open-source concurrency/parallelism library for Java and Groovy that gives you a number of high-level abstractions to write good logic.

RxJS and GPars can be primarily classified as "Concurrency Frameworks" tools.

RxJS and GPars are both open source tools. It seems that RxJS with 19.7K GitHub stars and 2.26K forks on GitHub has more adoption than GPars with 209 GitHub stars and 49 GitHub forks.

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Pros of RxJS
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    Cons of GPars
    Cons of RxJS
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      What is GPars?

      It is an open-source concurrency/parallelism library for Java and Groovy that gives you a number of high-level abstractions to write good logic.

      What is RxJS?

      RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.
      What companies use GPars?
      What companies use RxJS?

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      What tools integrate with GPars?
      What tools integrate with RxJS?
      What are some alternatives to GPars and RxJS?
      Akka
      Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
      Netty
      Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.
      Finagle
      Finagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency.
      Redux Observable
      It allows developers to dispatch a function that returns an observable, promise or iterable of action(s). Compose and cancel async actions to create side effects and more.
      Orleans
      Orleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud.
      See all alternatives
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