Python vs. Sumocode vs. imageio vs. scikit-image Comparison Chart

Create apps and games with just a few lines of code. Learn how to code with gamified examples. Remix example of sample code or write something new from scratch. Inspired by examples, using JavaScript as a language you'll discover how easy it is to program and create games with few lines of code. Boost your creativity with Sumocode, and let your mind build new things! Update your skills and learn how to code like a pro! There's no holding back your imagination! Learn to apply engineering concepts to create digital solutions to problems at hand! It doesn't matter if you're 5, 55, or 105, you can learn to code! Sumocode is here to help you navigate the first steps on your journey to becoming a programmer. It is easier than you think. Learn to build apps and code snippets. It is surprisingly easy with our Sumo3D code library. You can use our examples as the base or create your own apps from scratch.

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.