imaginary VS resize

Compare imaginary vs resize and see what are their differences.


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


Pure golang image resizing (by nfnt)
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imaginary resize
5 0
4,866 2,883
- -
1.0 0.0
3 months ago 12 months ago
Go Go
MIT License ISC 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 resize. We have used some of these posts to build our list of alternatives and similar projects.

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

What are some alternatives?

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

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

imagick - Go binding to ImageMagick's MagickWand C API

svgo - Go Language Library for SVG generation

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.

go-nude - Nudity detection with Go.

bild - Image processing algorithms in pure Go

smartcrop - smartcrop finds good image crops for arbitrary crop sizes

picfit - An image resizing server written in Go

govips - A lightning fast image processing and resizing library for Go