sharp vs image-size vs canvas vs jimp vs gm
Image Processing Libraries Comparison
1 Year
sharpimage-sizecanvasjimpgmSimilar Packages:
What's Image Processing Libraries?

Image processing libraries in Node.js provide developers with tools to manipulate and analyze images programmatically. These libraries facilitate tasks such as resizing, cropping, filtering, and format conversion, enabling dynamic image generation and optimization for web applications. They are essential for applications that require image manipulation on the server side, such as content management systems, e-commerce platforms, and social media applications. Each library has its unique strengths, making it crucial to choose the right one based on project requirements and performance considerations.

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sharp11,926,01730,353522 kB116a month agoApache-2.0
image-size11,415,5612,122378 kB37a month agoMIT
canvas3,106,27810,446408 kB4584 months agoMIT
jimp1,413,986-4.03 MB-8 months agoMIT
gm422,7466,975121 kB3682 months agoMIT
Feature Comparison: sharp vs image-size vs canvas vs jimp vs gm

Performance

  • sharp:

    Sharp is one of the fastest image processing libraries available in Node.js, leveraging libvips for efficient memory usage and speed. It is well-suited for production environments where performance is critical.

  • image-size:

    Image-size is extremely lightweight and performs exceptionally well for its intended purpose of extracting dimensions, ensuring minimal overhead and fast execution times.

  • canvas:

    Canvas provides a flexible drawing API but may not be the fastest option for heavy image processing tasks due to its reliance on the CPU for rendering operations. Performance can vary based on the complexity of the graphics being drawn.

  • jimp:

    Jimp is easy to use but may not be the fastest option for large images or complex operations, as it is a pure JavaScript implementation. Performance can degrade with larger images or more intensive processing tasks.

  • gm:

    GraphicsMagick is optimized for batch processing and can handle multiple images simultaneously, making it efficient for tasks that require processing large sets of images. However, it may not be as fast as sharp for single-image operations.

Ease of Use

  • sharp:

    Sharp has a well-documented API that balances performance with usability, making it relatively easy to integrate into applications while still offering advanced features.

  • image-size:

    Image-size is extremely easy to use, providing a simple interface for retrieving image dimensions and metadata with minimal setup required.

  • canvas:

    Canvas has a steeper learning curve due to its extensive API for drawing and rendering, making it more suitable for developers familiar with graphics programming.

  • jimp:

    Jimp is designed for simplicity and ease of use, with a clear and intuitive API that allows developers to perform basic image manipulations quickly and efficiently.

  • gm:

    GM offers a straightforward API that abstracts many complexities of image processing, making it accessible for developers who need to perform common tasks without deep knowledge of image manipulation.

Supported Formats

  • sharp:

    Sharp supports a wide variety of image formats, including PNG, JPEG, WebP, and TIFF, making it suitable for applications that require flexibility in image handling.

  • image-size:

    Image-size is limited to extracting dimensions and metadata, but it can work with various formats as long as they are supported by the underlying libraries.

  • canvas:

    Canvas supports a wide range of image formats for input and output, including PNG, JPEG, and GIF, making it versatile for various applications.

  • jimp:

    Jimp supports common formats like PNG and JPEG, but may not handle as many formats as other libraries, which can limit its use in some scenarios.

  • gm:

    GraphicsMagick supports an extensive list of image formats, including less common ones, making it a good choice for applications that need to handle diverse image types.

Dependency Management

  • sharp:

    Sharp has native dependencies but provides pre-built binaries for various platforms, simplifying installation while still requiring some system-level configuration.

  • image-size:

    Image-size is a pure JavaScript library with no native dependencies, making it easy to install and use across different environments without additional configuration.

  • canvas:

    Canvas requires native dependencies and may involve additional setup steps, which can complicate installation in some environments, especially on Windows.

  • jimp:

    Jimp is also a pure JavaScript library, ensuring easy installation and compatibility across platforms without the need for native binaries.

  • gm:

    GM is a wrapper around GraphicsMagick, which may require installation of the underlying GraphicsMagick library, adding complexity to the setup process.

Image Manipulation Capabilities

  • sharp:

    Sharp provides extensive image manipulation capabilities, including resizing, rotation, and format conversion, with a focus on performance and efficiency, making it ideal for high-demand applications.

  • image-size:

    Image-size is limited to retrieving dimensions and metadata, lacking manipulation capabilities, which makes it unsuitable for tasks requiring image editing.

  • canvas:

    Canvas excels in custom drawing and rendering, allowing for complex graphics and animations, making it suitable for applications that require artistic rendering.

  • jimp:

    Jimp offers a good range of basic image manipulation functions, such as resizing, cropping, and filtering, making it suitable for simple tasks but not for advanced processing.

  • gm:

    GM provides a wide range of image manipulation capabilities, including resizing, cropping, and format conversion, making it versatile for many image processing tasks.

How to Choose: sharp vs image-size vs canvas vs jimp vs gm
  • sharp:

    Choose sharp for high-performance image processing, especially when dealing with large images or requiring fast transformations. It is built on libvips, making it extremely efficient in terms of speed and memory usage, ideal for production environments.

  • image-size:

    Choose image-size if you only need to extract dimensions and metadata from images without any manipulation. It is lightweight and efficient for quickly obtaining image sizes, making it suitable for applications that require minimal overhead.

  • canvas:

    Choose canvas if you need a powerful 2D drawing API that closely resembles the HTML5 canvas element, allowing for complex graphics and image manipulation. It is ideal for applications that require custom rendering and drawing operations.

  • jimp:

    Choose jimp for a pure JavaScript solution that is easy to use and does not require native dependencies. It is great for simple image manipulations and is particularly useful for projects that prioritize ease of installation and cross-platform compatibility.

  • gm:

    Choose gm (GraphicsMagick) if you need a simple interface for image processing with a wide range of supported formats and operations. It is particularly useful for batch processing images and executing complex transformations without deep knowledge of image processing.

README for sharp

sharp

sharp logo

The typical use case for this high speed Node-API module is to convert large images in common formats to smaller, web-friendly JPEG, PNG, WebP, GIF and AVIF images of varying dimensions.

It can be used with all JavaScript runtimes that provide support for Node-API v9, including Node.js (^18.17.0 or >= 20.3.0), Deno and Bun.

Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips.

Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed.

As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available.

Most modern macOS, Windows and Linux systems do not require any additional install or runtime dependencies.

Documentation

Visit sharp.pixelplumbing.com for complete installation instructions, API documentation, benchmark tests and changelog.

Examples

npm install sharp
const sharp = require('sharp');

Callback

sharp(inputBuffer)
  .resize(320, 240)
  .toFile('output.webp', (err, info) => { ... });

Promise

sharp('input.jpg')
  .rotate()
  .resize(200)
  .jpeg({ mozjpeg: true })
  .toBuffer()
  .then( data => { ... })
  .catch( err => { ... });

Async/await

const semiTransparentRedPng = await sharp({
  create: {
    width: 48,
    height: 48,
    channels: 4,
    background: { r: 255, g: 0, b: 0, alpha: 0.5 }
  }
})
  .png()
  .toBuffer();

Stream

const roundedCorners = Buffer.from(
  '<svg><rect x="0" y="0" width="200" height="200" rx="50" ry="50"/></svg>'
);

const roundedCornerResizer =
  sharp()
    .resize(200, 200)
    .composite([{
      input: roundedCorners,
      blend: 'dest-in'
    }])
    .png();

readableStream
  .pipe(roundedCornerResizer)
  .pipe(writableStream);

Contributing

A guide for contributors covers reporting bugs, requesting features and submitting code changes.

Licensing

Copyright 2013 Lovell Fuller and others.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.