Skip to content

Fabric.js vs Signature Pad

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

Fabric.js

Open source · MIT

A JavaScript library for drawing, editing and exporting interactive objects on HTML canvas.

Signature Pad

Open source · MIT

A small JavaScript library that lets web pages capture smooth hand-drawn signatures on a canvas.

The short answer

Choose Fabric.js if you need…

  • Web developers building interactive canvas editors or drawing tools
  • Teams that need selectable, movable and resizable objects on a canvas without writing that logic from scratch
  • Developers who want to load or export SVG and JSON canvas content
  • Node.js developers who need to render canvas images on the server

Choose Signature Pad if you need…

  • Web developers adding a signature field to a form or app
  • Teams that want signatures captured in the browser without a plugin
  • Projects that need to save signatures as PNG, JPEG, or SVG
  • Developers who want to store signatures as point data and redraw them later

Side-by-side

Fabric.jsSignature Pad
TypeLibraryLibrary
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars31.5k12.1k
Setup difficultyIntermediateIntermediate
How you get itInstall with a package managerInstall with a package manager
Main languageTypeScriptTypeScript
Last code update4 days ago9 days ago

What each one is

Fabric.js

Fabric.js is a JavaScript library that makes it easier to work with the HTML canvas element. It gives you ready-made shapes, text, images, filters, gradients and brushes, plus built-in mouse interactions such as move, scale, rotate and skew. It can also read and write SVG, JSON, PNG and JPG data, and it can run in Node.js with the node-canvas package.

Signature Pad

Signature Pad is a JavaScript library that adds a drawing area to a web page where people can sign with a mouse, finger, or stylus. It uses HTML5 canvas and smooths strokes with variable-width Bézier curves. The README says it has no external dependencies and works in modern desktop and mobile browsers. Developers use it to collect signatures and export them as images, SVG, or raw point data.

Best for

Fabric.js

  • Web developers building interactive canvas editors or drawing tools
  • Teams that need selectable, movable and resizable objects on a canvas without writing that logic from scratch
  • Developers who want to load or export SVG and JSON canvas content
  • Node.js developers who need to render canvas images on the server

Signature Pad

  • Web developers adding a signature field to a form or app
  • Teams that want signatures captured in the browser without a plugin
  • Projects that need to save signatures as PNG, JPEG, or SVG
  • Developers who want to store signatures as point data and redraw them later

Strengths

Fabric.js

  • Covers many built-in features: shapes, controls, animations, image filters, gradients, patterns and brushes
  • Supports SVG and JSON import and export along with JPG and PNG output
  • Typed and modular, with MIT license and a large community (about 31.5k stars)

Signature Pad

  • Small, dependency-free library that works in modern desktop and mobile browsers
  • Flexible export options: PNG, JPEG, SVG, and raw point data
  • Well-established project with many stars, an npm package, and a test badge in the README

Not ideal for

Fabric.js

  • People who only need a simple static chart or image; a lighter drawing API may be enough
  • Projects that must support Internet Explorer 11 or legacy Edge, since the README marks both as unsupported
  • Non-developers looking for a finished app; this is a library to build with

Signature Pad

  • Non-developers looking for a ready-made app; it is a code library with no interface beyond a canvas
  • Projects needing legally certified e-signatures; the README covers drawing and export only and says nothing about legal validity or identity verification

Trade-offs

Fabric.js

  • Node.js use depends on node-canvas and jsdom, which the README notes can have their own limitations and bugs
  • The package names have changed; the README recommends new packages (@fabricjs/browser, @fabricjs/node) while keeping the legacy fabric package, which can confuse newcomers
  • Browser support is limited to recent versions as listed in the README table

Signature Pad

  • Canvas contents are cleared when the canvas is resized, so developers must handle resizing carefully (the README describes workarounds)
  • Storing signatures as data URLs has performance drawbacks on mobile, per the README; developers must design storage themselves
  • The README is truncated, so details beyond the basics are not fully verified here

Getting started

Fabric.js

Install for browser applications

npm install @fabricjs/browser

Install for Node.js applications

npm install @fabricjs/node
Step-by-step guide: how to use Fabric.js

Signature Pad

Install with npm

npm install --save signature_pad

Install with Yarn

yarn add signature_pad
Step-by-step guide: how to use Signature Pad

Frequently asked questions

What is the difference between Fabric.js and Signature Pad?

Fabric.js: A JavaScript library for drawing, editing and exporting interactive objects on HTML canvas. Signature Pad: A small JavaScript library that lets web pages capture smooth hand-drawn signatures on a canvas. Fabric.js suits web developers building interactive canvas editors or drawing tools, while Signature Pad suits web developers adding a signature field to a form or app.

Are Fabric.js and Signature Pad free?

Fabric.js: Free and open source. Signature Pad: Free and open source.

Is Fabric.js or Signature Pad more popular?

Fabric.js has more GitHub stars (31.5k) than Signature Pad (12.1k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Fabric.js and Signature Pad?

Other options people compare them with include PixiJS, Excalidraw.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.