react-fast-compare

What is react-fast-compare?

The react-fast-compare package is a fast deep equal comparison for React. It is optimized for comparing the props or state of React components, although it can be used to compare any data structures. It is particularly useful in shouldComponentUpdate methods to determine if re-rendering is necessary.

What are react-fast-compare's main functionalities?

Deep comparison of objects and arrays

This feature allows for deep comparison of objects and arrays to determine if they are structurally identical.

import isEqual from 'react-fast-compare';

const obj1 = { a: 1, b: { c: 2 } };
const obj2 = { a: 1, b: { c: 2 } };

const areEqual = isEqual(obj1, obj2); // true

Comparison within React lifecycle methods

This code sample demonstrates how react-fast-compare can be used within a React component's shouldComponentUpdate lifecycle method to prevent unnecessary re-renders.

import React from 'react';
import isEqual from 'react-fast-compare';

class MyComponent extends React.Component {
  shouldComponentUpdate(nextProps) {
    return !isEqual(this.props, nextProps);
  }

  render() {
    // Component rendering logic
  }
}

Other packages similar to react-fast-compare

lodash.isequal

Lodash's isEqual method provides deep comparison of objects and arrays, similar to react-fast-compare. However, lodash is a general utility library that includes a wide range of functions, which may result in a larger bundle size if only isEqual is needed.

deep-equal

The deep-equal package is another library that can perform deep equality checks. It is not specifically optimized for React and may not be as performant as react-fast-compare in the context of comparing React props and state.

fast-deep-equal

fast-deep-equal is a package that offers a fast deep equality comparison. It is similar to react-fast-compare but is not specifically tailored for React, although it can be used in any JavaScript environment.

README

The fastest deep equal comparison for React. Very quick general-purpose deep comparison, too. Great for React.memo and shouldComponentUpdate.

This is a fork of the brilliant fast-deep-equal with some extra handling for React.

(Check out the benchmarking details.)

Install

$ yarn add react-fast-compare
# or
$ npm install react-fast-compare

Highlights

• ES5 compatible; works in node.js (0.10+) and browsers (IE9+)
• deeply compares any value (besides objects with circular references)
• handles React-specific circular references, like elements
• checks equality Date and RegExp objects
• should as fast as fast-deep-equal via a single unified library, and with added guardrails for circular references.
• small: under 660 bytes minified+gzipped

Usage

const isEqual = require("react-fast-compare");

// general usage
console.log(isEqual({ foo: "bar" }, { foo: "bar" })); // true

// React.memo
// only re-render ExpensiveComponent when the props have deeply changed
const DeepMemoComponent = React.memo(ExpensiveComponent, isEqual);

// React.Component shouldComponentUpdate
// only re-render AnotherExpensiveComponent when the props have deeply changed
class AnotherExpensiveComponent extends React.Component {
  shouldComponentUpdate(nextProps) {
    return !isEqual(this.props, nextProps);
  }
  render() {
    // ...
  }
}

Do I Need React.memo (or shouldComponentUpdate)?

What's faster than a really fast deep comparison? No deep comparison at all.

—This Readme

Deep checks in React.memo or a shouldComponentUpdate should not be used blindly. First, see if the default React.memo or PureComponent will work for you. If it won't (if you need deep checks), it's wise to make sure you've correctly indentified the bottleneck in your application by profiling the performance. After you've determined that you do need deep equality checks and you've identified the minimum number of places to apply them, then this library may be for you!

Benchmarking this Library

The absolute values are much less important than the relative differences between packages.

Benchmarking source can be found here. Each "operation" consists of running all relevant tests. The React benchmark uses both the generic tests and the react tests; these runs will be slower simply because there are more tests in each operation.

The results below are from a local test on a laptop (stats last updated 6/2/2020):

Generic Data

react-fast-compare x 177,600 ops/sec ±1.73% (92 runs sampled)
fast-deep-equal x 184,211 ops/sec ±0.65% (87 runs sampled)
lodash.isEqual x 39,826 ops/sec ±1.32% (86 runs sampled)
nano-equal x 176,023 ops/sec ±0.89% (92 runs sampled)
shallow-equal-fuzzy x 146,355 ops/sec ±0.64% (89 runs sampled)
  fastest: fast-deep-equal

react-fast-compare and fast-deep-equal should be the same speed for these tests; any difference is just noise. react-fast-compare won't be faster than fast-deep-equal, because it's based on it.

React and Generic Data

react-fast-compare x 86,392 ops/sec ±0.70% (93 runs sampled)
fast-deep-equal x 85,567 ops/sec ±0.95% (92 runs sampled)
lodash.isEqual x 7,369 ops/sec ±1.78% (84 runs sampled)
  fastest: react-fast-compare,fast-deep-equal

Two of these packages cannot handle comparing React elements, because they contain circular reference: nano-equal and shallow-equal-fuzzy.

Running Benchmarks

$ yarn install
$ yarn run benchmark

Differences between this library and fast-deep-equal

react-fast-compare is based on fast-deep-equal, with some additions:

• react-fast-compare has try/catch guardrails for stack overflows from undetected (non-React) circular references.
• react-fast-compare has a single unified entry point for all uses. No matter what your target application is, import equal from 'react-fast-compare' just works. fast-deep-equal has multiple entry points for different use cases.

This version of react-fast-compare tracks fast-deep-equal@3.1.1.

Bundle Size

There are a variety of ways to calculate bundle size for JavaScript code. You can see our size test code in the compress script in package.json. Bundlephobia's calculation is slightly higher, as they do not mangle during minification.

License

MIT

Contributing

Please see our contributions guide.

Maintenance Status

Active: Formidable is actively working on this project, and we expect to continue for work for the foreseeable future. Bug reports, feature requests and pull requests are welcome.