GStreamer vs scikit-image: What are the differences?
Developers describe GStreamer as "Open source multimedia framework". GStreamer is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing. On the other hand, scikit-image is detailed as "Image processing in Python". scikit-image is a collection of algorithms for image processing.
GStreamer and scikit-image can be primarily classified as "Image Processing and Management" tools.
Some of the features offered by GStreamer are:
- Comprehensive Core Library
- Intelligent Plugin Architecture
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
scikit-image is an open source tool with 3.16K GitHub stars and 1.35K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.