imaginary VS smartcrop

Compare imaginary vs smartcrop and see what are their differences.


Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing (by h2non)


smartcrop finds good image crops for arbitrary crop sizes (by muesli)
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imaginary smartcrop
5 0
4,879 1,698
- -
1.0 1.0
3 months ago 10 days ago
Go Go
MIT License 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 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.


Posts with mentions or reviews of smartcrop. We have used some of these posts to build our list of alternatives and similar projects.

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

What are some alternatives?

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

imagick - Go binding to ImageMagick's MagickWand C API

imaging - Imaging is a simple image processing package for Go

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

resize - Pure golang image resizing

Primitive Pictures - Reproducing images with geometric primitives.

bild - Image processing algorithms in pure Go

go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv

svgo - Go Language Library for SVG generation

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

go-gd - Go bingings for GD (

fopix - Simple pixel monospaced font package for golang