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Imagify
Imagify

3
12
+ 1
0
scikit-image
scikit-image

27
44
+ 1
10
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Imagify vs scikit-image: What are the differences?

Imagify: A new way to optimize your images and have a faster website!. Speed up your website by reducing the size of your images without losing quality; scikit-image: Image processing in Python. scikit-image is a collection of algorithms for image processing.

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

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.

- No public GitHub repository available -

What is Imagify?

Speed up your website by reducing the size of your images without losing quality.

What is scikit-image?

scikit-image is a collection of algorithms for image processing.
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            What are some alternatives to Imagify 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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