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ImageKit
ImageKit

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scikit-image
scikit-image

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scikit-image vs ImageKit: 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, ImageKit is detailed as "Automate image optimization on all platforms". It is an image optimization solution that offers smart image optimization in real-time, enabling you to easily optimize images via dynamic resizing and cropping as well as seamless and fast delivery. The software allows you to reduce images sizes while retaining high quality resolution.

scikit-image and ImageKit belong to "Image Processing and Management" category of the tech stack.

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, ImageKit provides the following key features:

  • Image Processing
  • Image Optimization
  • Image Compression

scikit-image is an open source tool with 3.23K GitHub stars and 1.38K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.

- No public GitHub repository available -

What is ImageKit?

It is an image optimization solution that offers smart image optimization in real-time, enabling you to easily optimize images via dynamic resizing and cropping as well as seamless and fast delivery. The software allows you to reduce images sizes while retaining high quality resolution.

What is scikit-image?

scikit-image is a collection of algorithms for image processing.
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        What are some alternatives to ImageKit and scikit-image?
        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.
        OpenCV
        OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
        imgix
        imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.
        FFMPEG
        The universal multimedia toolkit.
        ImageMagick
        It is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write images in a variety of formats (over 200) including PNG, JPEG, GIF, HEIC, TIFF, DPX, EXR, WebP, Postscript, PDF, and SVG.
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