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  1. Stackups
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  4. Concurrency Frameworks
  5. RxJS vs Tokio

RxJS vs Tokio

OverviewComparisonAlternatives

Overview

RxJS
RxJS
Stacks4.4K
Followers638
Votes21
GitHub Stars19.4K
Forks2.1K
Tokio
Tokio
Stacks113
Followers34
Votes0
GitHub Stars30.1K
Forks2.8K

RxJS vs Tokio: What are the differences?

RxJS: 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; 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.

RxJS and Tokio can be categorized as "Concurrency Frameworks" tools.

RxJS is an open source tool with 19.7K GitHub stars and 2.25K GitHub forks. Here's a link to RxJS's open source repository on GitHub.

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Detailed Comparison

RxJS
RxJS
Tokio
Tokio

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.

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.

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Zero-cost abstractions; Concurrency; Ownership and type system; No garbage collector; Non-blocking I/O
Statistics
GitHub Stars
19.4K
GitHub Stars
30.1K
GitHub Forks
2.1K
GitHub Forks
2.8K
Stacks
4.4K
Stacks
113
Followers
638
Followers
34
Votes
21
Votes
0
Pros & Cons
Pros
  • 6
    Easier async data chaining and combining
  • 3
    Steep learning curve, but offers predictable operations
  • 2
    Ability to build your own stream
  • 2
    Observable subjects
  • 2
    Easier testing
Cons
  • 3
    Steep learning curve
No community feedback yet
Integrations
No integrations available
Rust
Rust

What are some alternatives to RxJS, Tokio?

Akka

Akka

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

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.

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 Observable

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.

ZIO

ZIO

It is a type-safe composable asynchronous and concurrent programming library for Scala that is based on pure functional programming.

Protoactor

Protoactor

It is a Next generation Actor Model framework. It introduces "Actor Standard Protocol", a predefined contract of base primitives which can be consumed by different language implementations. This is a game changer in the field of actor systems, you are now free to pick and choose languages for your different actor based microservices in a way never seen before.

Conc

Conc

It is your toolbelt for structured concurrency in go, making common tasks easier and safer. It handles panics gracefully and makes concurrent code easier to read.

GPars

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.

Scramjet

Scramjet

Scramjet is a fast, simple, free and open source functional reactive stream programming framework written on top of node.js streams with multi-threadding support. The code is written by chaining functions that transform data easily with ES7 async/await syntax. It is built upon the logic behind three well known javascript array operations: map, filter and reduce. Scramjet transforms are so standard and natural that we're sure you can start writing your code straight away.

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