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Kraken.io

16
53
+ 1
7
scikit-image

285
127
+ 1
11
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Kraken.io vs scikit-image: What are the differences?

Developers describe Kraken.io as "Image optimization and compression API". Kraken supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to Kraken API. On the other hand, scikit-image is detailed as "Image processing in Python". scikit-image is a collection of algorithms for image processing.

Kraken.io and scikit-image can be primarily classified as "Image Processing and Management" tools.

Some of the features offered by Kraken.io are:

  • Developer-Friendly API
  • WordPress Plugin
  • Dedicated Infrastructure

On the other hand, scikit-image provides the following key features:

  • 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

"Free" is the top reason why over 2 developers like Kraken.io, while over 5 developers mention "More powerful" as the leading cause for choosing scikit-image.

scikit-image is an open source tool with 3.1K GitHub stars and 1.31K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.

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Pros of Kraken.io
Pros of scikit-image
  • 6
    Free
  • 1
    Magento plugin
  • 6
    More powerful
  • 4
    Anaconda compatibility
  • 1
    Great documentation

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- No public GitHub repository available -

What is Kraken.io?

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.

What is scikit-image?

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

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What companies use Kraken.io?
What companies use scikit-image?
See which teams inside your own company are using Kraken.io or scikit-image.
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What tools integrate with Kraken.io?
What tools integrate with scikit-image?

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What are some alternatives to Kraken.io and scikit-image?
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.
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.
Pillow
It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
FFMPEG
The universal multimedia toolkit.
imgix
imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.
See all alternatives