mobx vs redux vs redux-saga vs xstate
State Management Libraries
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State Management Libraries

State management libraries are essential tools in modern web development, particularly for managing the state of applications with complex user interfaces. These libraries provide a structured way to handle application state, allowing developers to maintain a predictable state across various components. They help in managing data flow, ensuring that the UI reflects the current state of the application, and facilitating easier debugging and testing. Each library has its own unique approach to state management, catering to different needs and preferences in application architecture.

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mobx028,1814.35 MB807 months agoMIT
redux061,445290 kB412 years agoMIT
redux-saga022,4776.25 kB456 months agoMIT
xstate029,4682.26 MB13517 days agoMIT

Feature Comparison: mobx vs redux vs redux-saga vs xstate

State Management Approach

  • mobx:

    MobX uses observable state and reactions, allowing for automatic updates of the UI when the state changes. It emphasizes simplicity and minimal boilerplate, making it easy to understand and use. MobX's reactive programming model means that components automatically re-render when the data they depend on changes, providing a seamless user experience.

  • redux:

    Redux follows a unidirectional data flow and uses a single source of truth for the application state. It relies on actions and reducers to manage state transitions, which can lead to more predictable state management. Redux is particularly useful for larger applications where state changes need to be tracked and managed in a consistent manner.

  • redux-saga:

    Redux-Saga is built on top of Redux and uses generator functions to handle side effects in a more manageable way. It allows for complex asynchronous flows and is particularly well-suited for applications that require intricate data fetching and state management logic. Redux-Saga helps keep the Redux store clean by separating side effects from the main application logic.

  • xstate:

    XState introduces a state machine and statechart approach to state management, allowing developers to model complex states and transitions explicitly. This makes it easier to visualize and manage application state, especially in scenarios with multiple states and transitions. XState is particularly beneficial for applications with intricate workflows and state-dependent logic.

Learning Curve

  • mobx:

    MobX has a relatively gentle learning curve, especially for those familiar with JavaScript. Its reactive nature allows developers to focus on the state and how it changes, rather than the mechanics of state management, making it accessible for beginners.

  • redux:

    Redux has a steeper learning curve due to its concepts of actions, reducers, and middleware. Understanding the flow of data and how to structure the state can take time, but it provides a solid foundation for managing state in larger applications.

  • redux-saga:

    Redux-Saga can be challenging to learn due to its use of generator functions and the complexity of managing side effects. However, once understood, it offers powerful capabilities for handling asynchronous operations and complex state transitions.

  • xstate:

    XState introduces concepts of state machines and statecharts, which may require a shift in thinking for developers unfamiliar with these paradigms. However, it provides a robust framework for managing complex state logic, making it worthwhile to learn for intricate applications.

Boilerplate Code

  • mobx:

    MobX minimizes boilerplate code, allowing developers to focus on the logic of their applications rather than repetitive setup. This makes it a more concise and efficient choice for state management.

  • redux:

    Redux often requires more boilerplate code, as actions, reducers, and store configuration need to be explicitly defined. This can lead to a more verbose codebase, but it also enforces a clear structure and flow for state management.

  • redux-saga:

    Redux-Saga adds additional boilerplate on top of Redux, as it requires the creation of sagas to handle side effects. While this can increase complexity, it also provides a clear separation of concerns between state management and side effects.

  • xstate:

    XState can introduce boilerplate in defining state machines and transitions, but this is often offset by the clarity and organization it brings to complex state management scenarios.

Debugging and Testing

  • mobx:

    MobX's reactive nature simplifies debugging, as changes to state automatically reflect in the UI. However, testing can be more challenging due to its implicit state management, requiring careful consideration of how state changes affect the application.

  • redux:

    Redux's predictable state management makes debugging and testing straightforward. The use of actions and reducers allows for easy tracking of state changes, and tools like Redux DevTools enhance the debugging experience.

  • redux-saga:

    Redux-Saga provides a clear structure for testing asynchronous flows, as sagas can be tested independently of the Redux store. This makes it easier to ensure that side effects are handled correctly and that the application behaves as expected.

  • xstate:

    XState's explicit state transitions make it easier to test and debug state-dependent logic. The visual representation of state machines can also aid in understanding and troubleshooting complex workflows.

Community and Ecosystem

  • mobx:

    MobX has a growing community and ecosystem, with various tools and libraries available to enhance its functionality. However, it may not have as large an ecosystem as Redux.

  • redux:

    Redux has a vast ecosystem and community support, with numerous middleware, libraries, and tools available. This makes it easier to find resources and solutions for common challenges in state management.

  • redux-saga:

    Redux-Saga benefits from the larger Redux ecosystem, allowing developers to leverage existing tools and libraries. Its community is active, providing resources and support for handling side effects in Redux applications.

  • xstate:

    XState is gaining popularity and has a dedicated community, with resources and tools emerging to support its use. Its unique approach to state management is attracting attention, leading to a growing ecosystem.

How to Choose: mobx vs redux vs redux-saga vs xstate

  • mobx:

    Choose MobX if you prefer a more reactive and less boilerplate-heavy approach to state management. It is ideal for applications where you want to manage state in a more intuitive way, allowing for automatic updates to the UI when the state changes.

README for mobx

logo

MobX

Simple, scalable state management.

npm version OpenCollective OpenCollective Discuss on Github Coverage Status View changelog


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.

🥇🥇 Platinum sponsors ($5000+ total contribution): 🥇🥇


Guilded Canva Parallax

🥇 Gold sponsors ($2500+ total contribution):


One Beyond Frontend Masters Auction Frontier CodeFirst Modulz Coinbase Curology Mendix Facebook Open Source Casino Sites Bugsnag

🥈 Silver sponsors ($500+ total contributions):

mantro GmbH Extremely Heavy Algolia Space307 Blokt UPPER DAZN talentplot EaseUS Route Planner and Route Optimizer Handsontable

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:

😙

Straightforward

Write minimalistic, boilerplate-free code that captures your intent. Trying to update a record field? Simply use a normal JavaScript assignment — the reactivity system will detect all your changes and propagate them out to where they are being used. No special tools are required when updating data in an asynchronous process.

🚅

Effortless optimal rendering

All changes to and uses of your data are tracked at runtime, building a dependency tree that captures all relations between state and output. This guarantees that computations that depend on your state, like React components, run only when strictly needed. There is no need to manually optimize components with error-prone and sub-optimal techniques like memoization and selectors.

🤹🏻‍♂️

Architectural freedom

MobX is unopinionated and allows you to manage your application state outside of any UI framework. This makes your code decoupled, portable, and above all, easily testable.


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.

MobX unidirectional flow

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 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

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.