Bongani  Ngema

Bongani Ngema


RxJS: A reactive programming library for JavaScript

RxJS: Reactive Extensions For JavaScript

The Roadmap from RxJS 7 to 8

Curious what's next for RxJS? Follow along with Issue 6367.

RxJS 7


Reactive Extensions Library for JavaScript. This is a rewrite of Reactive-Extensions/RxJS and is the latest production-ready version of RxJS. This rewrite is meant to have better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.

Apache 2.0 License

Versions In This Repository

  • master - This is all of the current work, which is against v7 of RxJS right now
  • 6.x - This is the branch for version 6.X

Most PRs should be made to master.


By contributing or commenting on issues in this repository, whether you've read them or not, you're agreeing to the Contributor Code of Conduct. Much like traffic laws, ignorance doesn't grant you immunity.

Installation and Usage

ES6 via npm

npm install rxjs

It's recommended to pull in the Observable creation methods you need directly from 'rxjs' as shown below with range. If you're using RxJS version 7.2 or above, you can pull in any operator you need from the same spot, 'rxjs'.

import { range, filter, map } from 'rxjs';

range(1, 200)
    filter(x => x % 2 === 1),
    map(x => x + x)
  .subscribe(x => console.log(x));

If you're using RxJS version below 7.2, you can pull in any operator you need from one spot, under 'rxjs/operators'.

import { range } from 'rxjs';
import { filter, map } from 'rxjs/operators';

range(1, 200)
    filter(x => x % 2 === 1),
    map(x => x + x)
  .subscribe(x => console.log(x));


For CDN, you can use unpkg:^7/dist/bundles/rxjs.umd.min.js

The global namespace for rxjs is rxjs:

const { range } = rxjs;
const { filter, map } = rxjs.operators;

range(1, 200)
    filter(x => x % 2 === 1),
    map(x => x + x)
  .subscribe(x => console.log(x));


  • Smaller overall bundles sizes
  • Provide better performance than preceding versions of RxJS
  • To model/follow the Observable Spec Proposal to the observable
  • Provide more modular file structure in a variety of formats
  • Provide more debuggable call stacks than preceding versions of RxJS


  • npm run compile build everything
  • npm test run tests
  • npm run dtslint run dtslint tests

Adding documentation

We appreciate all contributions to the documentation of any type. All of the information needed to get the docs app up and running locally as well as how to contribute can be found in the documentation directory.

Author: Reactivex
Source Code: 
License: Apache-2.0 License

#node #javascript #rxjs 

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RxJS: A reactive programming library for JavaScript
Abigale  Yundt

Abigale Yundt


The State of RxJS - Ben Lesh at Ngconf

RxJS core team member and lead Ben Lesh presented at ng-conf the upcoming features for RxJS 7.

Lesh started by reminding the audience of the RxJS goals. RxJS is a utility library that has been steadily growing in popularity, as a result of reactive programming paradigms becoming more commonplace. As an utility library that can be used in many different contexts and frameworks, RxJS strives to be stable and dependable, constantly improve developer experience, and optimize its bundle size.

Stability, reliability, and maintainability are characteristics that are highly desirable in enterprise software. To further progress in that direction, Lesh mentioned a few ongoing initiatives.

The RxJS team instituted a process that ensures the absence of breaking changes between patch releases and a smooth migration path for RxJS 8 and above. RxJS partnered with Google so that the latest versions of RxJS may run on google3 (Google mono-repository) to surface any occurring bugs and breaking changes. Lesh explained:

[Moshe Kolodney helped set up a task force] inside of Google that puts the latest version of RxJS into google3 […] and runs it against all of their build targets — thousands and thousands of build targets, tons of apps using RxJS just in every way you can imagine, to see what breaks. They [then] report to us and let us know what breaks and we work with them to resolve those issues well before you would ever see a published release on NPM

#javascript libraries #web development #reactive programming #rxjs #javascript #development #news

Coy  Roberts

Coy Roberts


What is Reactive Programming in Javascript Example

Reactive Programming in Javascript is like a sequence of events that occur in time. It is an Asynchronous Programming concept around data streams. Reactive programming is a programming paradigm for writing code, mainly concerned with asynchronous data streams. It is a programming of event streams that happens in time.

It’s time to rethink the basic Software Architecture because Conventional Programming is not satisfied with today’s modern software application requirement.

Reactive Programming in Javascript

RxJS is a JavaScript library for transforming, composing and querying asynchronous streams of data. RxJS can be used both in the browser or on the server-side using Node.js.

Just a different way of building software apps that will “react” to changes that happen instead of the typical way of writing software where we explicitly write code (aka “imperative” programming) to handle those changes.

#javascript #asynchronous programming #rxjs #conventional programming

Reactive Streams in JavaScript with RSocket Flowable

When programming async operations, JavaScript developers are generally at least familiar with Promises, async/await, and callbacks. However, newer async models such as ReactiveX (RxJS in JavaScript), are not quite as popular. In this article, we dig into something similar but slightly different to RxJS; a Reactive Streams implementation called RSocket Flowable (rsocket-flowable on npm).

#rsocket #javascript #reactive-streams #reactive-programming #programming

Gordon  Taylor

Gordon Taylor


Deep Dive into Reactive Programming with RxJS

Key Takeaways

  • You can use observables and RxJS to write clean and efficient code for handling asynchronous data in your application.
  • With observables, you can construct continuous data streams that emit data over time. Observables can be subscribed to, canceled, or completed at any moment.
  • Observables are lazy. This allows writing efficient code that’s more declarative.
  • It’s useful to think of observables as collections and apply functional-style procedures like mapping and filtering to manipulate data and minimize side effects.
  • You can handle even the most complex scenarios of async data flow using the nested observables and the various flattening strategies provided by RxJS.

One of the most challenging aspects of developing any user-facing application is handling asynchronous actions such as user input and API requests cleanly and robustly. Thankfully, over the years, many useful programming paradigms and tools have emerged to help us with that task. One of these paradigms is called Reactive Programming.

In this post, let’s cover using Reactive Programming and RxJS when building software applications.

We will dive deep into the fundamental parts of working with RxJS and how it benefits us when building complex applications. You can build on this knowledge further after understanding these basic concepts.

What is RxJS

RxJS helps developers author declarative code for handling side effects and asynchronous actions with continuous data streams and subscriptions. Think of a stream as a collection of data that arrives asynchronously over time.

The main building blocks of RxJS include:

1.   Observable - An object responsible for handling data streams and notifying observers when new data arrives.

2.   Observer - Consumers of data streams emitted by observables. Usually, it’s a simple handler function that runs each time a new event occurs.

#javascript #reactive javascript #rxjs #article

Lowa Alice

Lowa Alice


Object-oriented Programming in JavaScript: Made Super Simple. DO NOT MISS!!!

Object-oriented programming in JavaScript: learn all about objects, prototypes, prototypical inheritance, this and more.

00:00: What is OOP?
01:46: Four Pillars of OOP
08:50: Setting Up the Development Environment 11:07: Objects
11:53: Object Literals
14:58: Factories
17:50: Constructors
23:27: Constructor Property
25:53: Functions are Objects
31:09: Value vs Reference Types
37:00: Adding or Removing Properties
40:54: Enumerating Properties
43:45: Abstraction
47:48: Private Properties and Methods
51:55: Getters and Setters
57:32: Exercise
59:42: Solution

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#javascript #object-oriented programming #object-oriented programming in javascript #object-oriented programming in javascript: made super simple