cropperjs VS CamanJS

Compare cropperjs vs CamanJS and see what are their differences.


Javascript HTML5 (Ca)nvas (Man)ipulation (by meltingice)
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cropperjs CamanJS
6 1
10,643 3,443
- -
6.0 0.0
18 days ago about 2 years ago
JavaScript HTML
MIT License BSD 3-clause "New" or "Revised" 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 cropperjs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-05.


Posts with mentions or reviews of CamanJS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-09.

What are some alternatives?

When comparing cropperjs and CamanJS you can also consider the following projects:

compressorjs - JavaScript image compressor.

jimp - An image processing library written entirely in JavaScript for Node, with zero external or native dependencies.


fabric.js - Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser

merge-images - Easily compose images together without messing around with canvas

sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.

marvinj - Javascript Image Processing Framework based on Marvin Framework

blurify - blurify.js is a tiny(~2kb) library to blurred pictures, support graceful downgrade from `css` mode to `canvas` mode.

pica - Resize image in browser with high quality and high speed

grade - This JavaScript library produces complementary gradients generated from the top 2 dominant colours in supplied images.