scikit-image vs Coolors: What are the differences?
Developers describe scikit-image as "Image processing in Python". scikit-image is a collection of algorithms for image processing. On the other hand, Coolors is detailed as "The super fast color schemes generator". It is a fast and easy tool that let you generate beautiful color palettes.
scikit-image and Coolors can be categorized as "Image Processing and Management" tools.
Some of the features offered by scikit-image are:
- Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.
- Written in Python with a well-commented source code
- Has had 5,709 commits made by 116 contributors representing 29,953 lines of code
On the other hand, Coolors provides the following key features:
- Fast and simple
- Image to colors
- Adjust and refine
scikit-image and Coolors are both open source tools. scikit-image with 3.23K GitHub stars and 1.39K forks on GitHub appears to be more popular than Coolors with 23 GitHub stars and 1 GitHub forks.