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GPars

2
2
+ 1
0
Netty

234
388
+ 1
16
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Netty vs GPars: What are the differences?

Netty: Asynchronous event-driven network application framework. 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; GPars: 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.

Netty and GPars belong to "Concurrency Frameworks" category of the tech stack.

Netty and GPars are both open source tools. Netty with 20.8K GitHub stars and 9.61K forks on GitHub appears to be more popular than GPars with 209 GitHub stars and 49 GitHub forks.

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Pros of GPars
Pros of Netty
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    • 9
      High Performance
    • 4
      Easy to use
    • 3
      Just like it

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    Cons of GPars
    Cons of Netty
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      • 2
        Limited resources to learn from

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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 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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use GPars?
      What companies use Netty?
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      What tools integrate with GPars?
      What tools integrate with Netty?

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      What are some alternatives to GPars and Netty?
      Akka
      Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
      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.
      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.
      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.
      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.
      See all alternatives