pixelizer VS imaginary

Compare pixelizer vs imaginary and see what are their differences.


An efficient image pixelizer written in go (by eleby)


Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing (by h2non)
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pixelizer imaginary
1 5
104 5,106
- -
1.8 0.0
over 2 years ago about 1 month ago
Go Go
Apache License 2.0 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 pixelizer. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning pixelizer yet.
Tracking mentions began in Dec 2020.


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 2022-10-02.

What are some alternatives?

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

imagick - Go binding to ImageMagick's MagickWand C API

resize - Pure golang image resizing

imaging - Imaging is a simple image processing package for Go

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

Primitive Pictures - Reproducing images with geometric primitives.

thumbor - The quickest way to run thumbor.

bild - Image processing algorithms in pure Go

smartcrop - smartcrop finds good image crops for arbitrary crop sizes

gocv - Go package for computer vision using OpenCV 4 and beyond.

ln - 3D line art engine.

govatar - Avatar generation library for GO language

pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.