Redux Observable vs Tokio | What are the differences? | StackShare

Redux Observable vs Tokio

Overview

Redux Observable

Stacks105

Followers45

Votes0

Tokio

Stacks113

Followers34

Votes0

GitHub Stars30.1K

Forks2.8K

Redux Observable vs Tokio: What are the differences?

What is Redux Observable? A powerful middleware for Redux using RxJS. 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.

What is Tokio? Runtime for writing reliable asynchronous applications with Rust. It is an open source library providing an asynchronous, event driven platform for building fast, reliable, and lightweight network applications. It leverages Rust's ownership and concurrency model to ensure thread safety.

Redux Observable and Tokio can be categorized as "Concurrency Frameworks" tools.

Some of the features offered by Redux Observable are:

Redux async actions
Rest requests with Redux
ReactiveX standards

On the other hand, Tokio provides the following key features:

Zero-cost abstractions
Concurrency
Ownership and type system

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Detailed Comparison

Redux Observable	Tokio
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.	It is an open source library providing an asynchronous, event driven platform for building fast, reliable, and lightweight network applications. It leverages Rust's ownership and concurrency model to ensure thread safety.
Redux async actions;Rest requests with Redux;ReactiveX standards	Zero-cost abstractions; Concurrency; Ownership and type system; No garbage collector; Non-blocking I/O
Statistics
GitHub Stars -	GitHub Stars 30.1K
GitHub Forks -	GitHub Forks 2.8K
Stacks 105	Stacks 113
Followers 45	Followers 34
Votes 0	Votes 0
Integrations
No integrations available	Rust

What are some alternatives to Redux Observable, Tokio?

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 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.

Akka

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

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

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

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

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 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.