smileatom / microdiff

A fast, zero dependency object and array comparison library. Significantly faster than most other deep comparison libraries and has full TypeScript support.

Microdiff is a tiny (currently <1kb), fast, zero dependency object and array comparison library. It is significantly faster than most other deep comparison libraries, and has full TypeScript support.

Features

• 🚀 100%+ faster than other object diff libraries
• 📦 Extremely lightweight, <1kb minified
• 🌎 Supports Deno, Node, the web, and even service workers. Also comes with built in Typescript types
• 🔰 Very easy to use, having just a single diff() function
• 📅 Full support for objects like new Date() and new RegExp()

Get started

First, install Microdiff

npm i microdiff

If you are using Deno, you can import it from Deno.land with the link https://deno.land/x/microdiff@VERSION/index.ts (remember to change @VERSION to the version you want to use).

After you install it, simply import it and run it on two objects.

import diff from "microdiff";

const obj1 = {
	originalProperty: true,
};
const obj2 = {
	originalProperty: true,
	newProperty: "new",
};

console.log(diff(obj1, obj2));
// [{type: "CREATE", path: ["newProperty"], value: "new"}]

There are three different types of changes. CREATE, REMOVE, and CHANGE. The path property gives a path to the property in the new object (or the old object in the case of REMOVE). Each element in the array is a key to the next property a level deeper until you get to the property changed. The value property exists in types CREATE and CHANGE, and it contains the value of the property added/changed.

Benchmarks

Benchmarks: Small object
deep-diff: 17929ns - 409% slower
deep-object-diff: 10763ns - 206% slower
jsdiff: 79700ns - 2164% slower
microdiff: 3520ns - Fastest

Benchmarks: Large Object
deep-diff: 272887ns - 259% slower
deep-object-diff: 160019ns - 111% slower
jsdiff: 1688294ns - 2123% slower
microdiff: 75934ns - Fastest

These benchmarks are currently only for one small object and a very large object, so they might not be accurate. I will be working on creating benchmarks with more varying types.