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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. GraphicsMagick vs ImageMagick

GraphicsMagick vs ImageMagick

OverviewComparisonAlternatives

Overview

GraphicsMagick
GraphicsMagick
Stacks25
Followers65
Votes4
ImageMagick
ImageMagick
Stacks95
Followers93
Votes0
GitHub Stars14.8K
Forks1.5K

GraphicsMagick vs ImageMagick: What are the differences?

Introduction: In this Markdown code snippet, we will outline the key differences between GraphicsMagick and ImageMagick. Both GraphicsMagick and ImageMagick are powerful image processing libraries used for manipulating images in various formats. To provide a better understanding, let's dive into the key differences between these two libraries.

  1. Implementation Language: GraphicsMagick is implemented in C language, whereas ImageMagick is written in C++. This difference in implementation language can have implications on performance and platform compatibility.

  2. Memory Management: GraphicsMagick employs a more conservative approach to memory management, which makes it consume less memory compared to ImageMagick. On the other hand, ImageMagick utilizes a more aggressive memory management strategy, resulting in potentially faster processing speeds at the cost of increased memory usage.

  3. Command-Line Interface: GraphicsMagick and ImageMagick both offer command-line interfaces; however, ImageMagick provides a more extensive and comprehensive set of command-line options and features. ImageMagick's command-line interface is known for its flexibility and advanced functionalities.

  4. Supported Formats: While both libraries support a wide range of image formats, GraphicsMagick has a slightly broader support for obscure or specialized image formats compared to ImageMagick. GraphicsMagick's broader format support can be advantageous in scenarios where handling specific image formats is crucial.

  5. Library Size: GraphicsMagick tends to have a smaller library size compared to ImageMagick. This smaller footprint can be beneficial in memory-constrained environments or when minimizing the overall application size is a concern.

  6. Community and Documentation: ImageMagick has a larger and more active community, which leads to a more extensive pool of online resources, tutorials, and community support. GraphicsMagick, although it has a dedicated user base, may have comparatively fewer tutorials and documentation available.

In summary, the key differences between GraphicsMagick and ImageMagick include the implementation language, memory management approach, command-line interface capabilities, supported formats, library size, and community/documentation availability.

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Detailed Comparison

GraphicsMagick
GraphicsMagick
ImageMagick
ImageMagick

GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.

It is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write images in a variety of formats (over 200) including PNG, JPEG, GIF, HEIC, TIFF, DPX, EXR, WebP, Postscript, PDF, and SVG.

-
Color Quantization; Posterization; Dithering; Halftone dithering; Liquid rescaling; Transparency; GIF animation; Blur; Sharpen; Composite.
Statistics
GitHub Stars
-
GitHub Stars
14.8K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
25
Stacks
95
Followers
65
Followers
93
Votes
4
Votes
0
Pros & Cons
Pros
  • 4
    Used by flickr and etsy
No community feedback yet
Integrations
No integrations available
Java
Java
PHP
PHP
Ruby
Ruby
Haxe
Haxe
.NET
.NET
C++
C++
Perl
Perl
Common Lisp
Common Lisp

What are some alternatives to GraphicsMagick, ImageMagick?

Cloudinary

Cloudinary

Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

imgix

imgix

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

OpenCV

OpenCV

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

ImageKit

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Cloudimage

Cloudimage

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

scikit-image

scikit-image

scikit-image is a collection of algorithms for image processing.

Kraken.io

Kraken.io

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.

ImageEngine

ImageEngine

ImageEngine is an intelligent Image CDN that dynamically optimizes image content tailored to the end users device. Using device intelligence at the CDN edge, developers can greatly simplify their image management process while accelerating their site.

FFMPEG

FFMPEG

The universal multimedia toolkit.

GStreamer

GStreamer

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

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