Pixaven vs scikit-image

scikit-image vs Pixaven: What are the differences?

scikit-image: Image processing in Python. scikit-image is a collection of algorithms for image processing; Pixaven: Modern GPU-powered image processing API. Transform, adjust, enhance, stylize, filter, apply watermarks, and store your images with blazing speed. It guarantees ultra-fast image operations and unparalleled quality of your visual content thanks to a modern, GPU-powered image processing engine.

scikit-image and Pixaven 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, Pixaven provides the following key features:

• Resize, rescale, crop and apply watermarks with multiple modes. Put our face detection algorithms to use and create truly stunning visuals
• Fine tune every visual aspect of your images. From brightness and contrast controls to exposure, vibrancy and multiple modes of sharpening
• Blend together stylizing operations to make your images pop. Use auto-enhance to apply predefined image correction algorithms

scikit-image is an open source tool with 3.61K GitHub stars and 1.55K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.