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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Concurrency Frameworks
  5. Akka vs Fish Redux

Akka vs Fish Redux

OverviewComparisonAlternatives

Overview

Akka
Akka
Stacks1.2K
Followers1.0K
Votes88
Fish Redux
Fish Redux
Stacks0
Followers17
Votes0
GitHub Stars7.3K
Forks843

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Detailed Comparison

Akka
Akka
Fish Redux
Fish Redux

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

Automatically completes the merge process from the small Reducers to the main Reducer by explicitly expressing the dependencies between components.

-
Functional Programming; Predictable state container; Pluggable componentization; Non-destructive performance
Statistics
GitHub Stars
-
GitHub Stars
7.3K
GitHub Forks
-
GitHub Forks
843
Stacks
1.2K
Stacks
0
Followers
1.0K
Followers
17
Votes
88
Votes
0
Pros & Cons
Pros
  • 32
    Great concurrency model
  • 17
    Fast
  • 12
    Actor Library
  • 10
    Open source
  • 7
    Resilient
Cons
  • 3
    Mixing futures with Akka tell is difficult
  • 2
    Closing of futures
  • 2
    No type safety
  • 1
    Very difficult to refactor
  • 1
    Typed actors still not stable
No community feedback yet
Integrations
No integrations available
React
React
Flutter
Flutter

What are some alternatives to Akka, Fish Redux?

Redux

Redux

It helps you write applications that behave consistently, run in different environments (client, server, and native), and are easy to test. t provides a great experience, such as live code editing combined with a time traveling debugger.

MobX

MobX

MobX is a battle tested library that makes state management simple and scalable by transparently applying functional reactive programming (TFRP). React and MobX together are a powerful combination. React renders the application state by providing mechanisms to translate it into a tree of renderable components. MobX provides the mechanism to store and update the application state that React then uses.

Orleans

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.

Zustand

Zustand

Small, fast and scaleable bearbones state-management solution. Has a comfy api based on hooks, that isn't boilerplatey or opinionated, but still just enough to be explicit and flux-like.

Effector

Effector

It is an effective multi-store state manager for Javascript apps, that allows you to manage data in complex applications.

RxJS

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.

Netty

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

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-saga

redux-saga

An alternative side effect model for Redux apps

vuex

vuex

Vuex is a state management pattern + library for Vue.js applications. It serves as a centralized store for all the components in an application, with rules ensuring that the state can only be mutated in a predictable fashion. It also integrates with Vue's official devtools extension to provide advanced features such as zero-config time-travel debugging and state snapshot export / import.

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