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Coolors

3
4
+ 1
0
scikit-image

54
97
+ 1
11
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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.

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Pros of Coolors
Pros of scikit-image
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    • 6
      More powerful
    • 4
      Anaconda compatibility
    • 1
      Great documentation

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    What is Coolors?

    It is a fast and easy tool that let you generate beautiful color palettes.

    What is scikit-image?

    scikit-image is a collection of algorithms for image processing.

    Need advice about which tool to choose?Ask the StackShare community!

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      What are some alternatives to Coolors and scikit-image?
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      Cloudinary
      Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
      FFMPEG
      The universal multimedia toolkit.
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