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  1. Stackups
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  5. RxJS vs axios

RxJS vs axios

OverviewComparisonAlternatives

Overview

RxJS
RxJS
Stacks4.4K
Followers638
Votes21
GitHub Stars19.4K
Forks2.1K
axios
axios
Stacks6.7K
Followers419
Votes0
GitHub Stars108.1K
Forks11.4K

RxJS vs axios: What are the differences?

RxJS and axios are both JavaScript libraries commonly used in web development, but they have significant differences in terms of their functionalities and how they handle asynchronous operations.
  1. Synchronous vs. Asynchronous: One of the key differences between RxJS and axios is how they handle asynchronous operations. RxJS is based on the concept of Observables, which allows for reactive programming and provides powerful tools for handling asynchronous workflows. On the other hand, axios is a promise-based library that follows the traditional approach of handling asynchronous operations using promises.

  2. Granularity of control: RxJS provides a finer level of control over asynchronous operations compared to axios. With RxJS, developers can easily create complex asynchronous workflows, combining and transforming data streams with powerful operators. This level of control allows for more flexibility and enables the creation of highly customized asynchronous operations. In contrast, axios provides a more straightforward and simplified approach to handling asynchronous requests, without the same level of control over the data stream.

  3. Stream-based vs. Single-request: RxJS is built around the concept of data streams and allows for the manipulation and transformation of these streams using operators. It enables developers to handle continuous data updates and create reactive applications. In contrast, axios focuses on making single HTTP requests and does not have built-in support for data streams or continuous updates.

  4. Functional vs. Imperative programming: RxJS promotes functional programming paradigms and encourages developers to write code that is more declarative and focused on transforming data streams. It provides a rich set of operators and tools for operating on data streams. On the other hand, axios follows an imperative programming approach, allowing developers to define step-by-step instructions for handling asynchronous requests.

  5. Complexity vs. Simplicity: Due to its powerful features and rich set of operators, RxJS can be more complex to work with compared to axios. It requires a steep learning curve for developers to fully grasp the concepts of reactive programming and how to effectively use the different operators. On the other hand, axios is known for its simplicity and ease of use, providing a straightforward way to make HTTP requests without the complexity of reactive programming.

  6. Browser vs. Node.js: Another key difference between RxJS and axios is their compatibility. RxJS is designed to work both in the browser and in Node.js environments, making it suitable for universal JavaScript applications. On the other hand, axios is primarily targeted towards browser environments and may require additional configuration or libraries to be used in Node.js.

In Summary, RxJS and axios differ in their approach to handling asynchronous operations, level of control, support for data streams, programming paradigms, complexity, and compatibility with different environments.

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Detailed Comparison

RxJS
RxJS
axios
axios

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 a Javascript library used to make http requests from node.js or XMLHttpRequests from the browser and it supports the Promise API that is native to JS ES6.

Statistics
GitHub Stars
19.4K
GitHub Stars
108.1K
GitHub Forks
2.1K
GitHub Forks
11.4K
Stacks
4.4K
Stacks
6.7K
Followers
638
Followers
419
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

What are some alternatives to RxJS, axios?

Underscore

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

Deno

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and 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.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Immutable.js

Immutable.js

Immutable provides Persistent Immutable List, Stack, Map, OrderedMap, Set, OrderedSet and Record. They are highly efficient on modern JavaScript VMs by using structural sharing via hash maps tries and vector tries as popularized by Clojure and Scala, minimizing the need to copy or cache data.

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.

Lodash

Lodash

A JavaScript utility library delivering consistency, modularity, performance, & extras. It provides utility functions for common programming tasks using the functional programming paradigm.

Ramda

Ramda

It emphasizes a purer functional style. Immutability and side-effect free functions are at the heart of its design philosophy. This can help you get the job done with simple, elegant code.

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