TinyPNG vs scikit-image

scikit-image vs TinyPNG: What are the differences?

What is scikit-image? Image processing in Python. scikit-image is a collection of algorithms for image processing.

What is TinyPNG? Uses smart compression techniques to reduce the file size of your PNG files. Make your website faster and save bandwidth. It optimizes your PNG images by 50-80% while preserving full transparency.

scikit-image and TinyPNG can be primarily classified 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, TinyPNG provides the following key features:

• Perfect image resizing
• Resize your images
• Gamma scaling

scikit-image is an open source tool with 3.19K GitHub stars and 1.36K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.