WeChat MiniProgram compatible build of MobX

This is a special build of MobX that is compatible with WeChat MiniProgram.

MobX

Simple, scalable state management.

Documentation

Documentation can be found at mobx.js.org.

Sponsors

MobX is made possible by the generosity of the sponsors below, and many other individual backers. Sponsoring directly impacts the longevity of this project.

🥇 Gold sponsors ($2500+ total contribution):

🥈 Silver sponsors ($500+ total contributions):

Introduction

Anything that can be derived from the application state, should be. Automatically.

MobX is a signal based, battle-tested library that makes state management simple and scalable by transparently applying functional reactive programming. The philosophy behind MobX is simple:

A quick example

So what does code that uses MobX look like?

import React from "react"
import ReactDOM from "react-dom"
import { makeAutoObservable } from "mobx"
import { observer } from "mobx-react-lite"

// Model the application state.
function createTimer() {
    return makeAutoObservable({
        secondsPassed: 0,
        increase() {
            this.secondsPassed += 1
        },
        reset() {
            this.secondsPassed = 0
        }
    })
}

const myTimer = createTimer()

// Build a "user interface" that uses the observable state.
const TimerView = observer(({ timer }) => (
    <button onClick={() => timer.reset()}>Seconds passed: {timer.secondsPassed}</button>
))

ReactDOM.render(<TimerView timer={myTimer} />, document.body)

// Update the 'Seconds passed: X' text every second.
setInterval(() => {
    myTimer.increase()
}, 1000)

The observer wrapper around the TimerView React component will automatically detect that rendering depends on the timer.secondsPassed observable, even though this relationship is not explicitly defined. The reactivity system will take care of re-rendering the component when precisely that field is updated in the future.

Every event (onClick / setInterval) invokes an action (myTimer.increase / myTimer.reset) that updates observable state (myTimer.secondsPassed). Changes in the observable state are propagated precisely to all computations and side effects (TimerView) that depend on the changes being made.

This conceptual picture can be applied to the above example, or any other application using MobX.

Getting started

To learn about the core concepts of MobX using a larger example, check out The gist of MobX page, or take the 10 minute interactive introduction to MobX and React. The philosophy and benefits of the mental model provided by MobX are also described in great detail in the blog posts UI as an afterthought and How to decouple state and UI (a.k.a. you don’t need componentWillMount).

Further resources

• The MobX cheat sheet (£5) is both useful and sponsors the project
• 10 minute interactive introduction to MobX and React
• Egghead.io course, based on MobX 3
• The MobX awesome list – a long list of MobX resources and example projects

The MobX book

The MobX Quick Start Guide ($24.99) by Pavan Podila and Michel Weststrate is available as an ebook, paperback, and on the O'Reilly platform (see preview).

Videos

• Introduction to MobX & React in 2020 by Leigh Halliday, 17 min.
• ReactNext 2016: Real World MobX by Michel Weststrate, 40 min, slides.
• CityJS 2020: MobX, from mutable to immutable, to observable data by Michel Weststrate, 30 min.
• OpenSourceNorth: Practical React with MobX (ES5) by Matt Ruby, 42 min.
• HolyJS 2019: MobX and the unique symbiosis of predictability and speed by Michel Weststrate, 59 min.
• React Amsterdam 2016: State Management Is Easy by Michel Weststrate, 20 min, slides.
• {🚀} React Live 2019: Reinventing MobX by Max Gallo, 27 min.

Credits

MobX is inspired by reactive programming principles, which are for example used in spreadsheets. It is inspired by model–view–viewmodel frameworks like MeteorJS's Tracker, Knockout and Vue.js, but MobX brings transparent functional reactive programming (TFRP, a concept which is further explained in the MobX book) to the next level and provides a standalone implementation. It implements TFRP in a glitch-free, synchronous, predictable and efficient manner.

A ton of credit goes to Mendix, for providing the flexibility and support to maintain MobX and the chance to prove the philosophy of MobX in a real, complex, performance critical applications.