imagick VS imaginary

Compare imagick vs imaginary and see what are their differences.


Go binding to ImageMagick's MagickWand C API (by gographics)


Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing (by h2non)
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imagick imaginary
1 2
1,388 4,156
1.1% -
2.9 4.4
5 months ago 15 days ago
Go Go
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of imagick. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-19.


Posts with mentions or reviews of imaginary. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-10.

What are some alternatives?

When comparing imagick and imaginary you can also consider the following projects:

OpenCV - Open Source Computer Vision Library

libvips - A fast image processing library with low memory needs.

OpenImageIO - Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.

FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.

CImg - The CImg Library is a small and open-source C++ toolkit for image processing

Boost.GIL - Boost.GIL - Generic Image Library | Requires C++11 since Boost 1.68

go-cairo - Go binding for the cairo graphics library


go-gd - Go bingings for GD (

GD - GD Graphics Library

go-webp - Simple and fast webp library for golang

bimg - Go package for fast high-level image processing powered by libvips C library