Python vs. Sourcery CodeBench vs. Textastic vs. scikit-image Comparison Chart

Sourcery CodeBench delivers a powerful toolset that helps embedded software engineers to efficiently develop and optimize software for a variety of targets and various domains including Automotive, Connectivity, Graphics, and Video applications. Sourcery CodeBench goes beyond just the compiler to provide developers with powerful open source, embedded C/C++ development tools to build, debug, analyze and optimize embedded software in complex heterogeneous architectures including Arm, IA32, MIPS and Power Architectures. Eclipse based IDE enabling workspace customization and project management. Enhanced source code editor with syntax highlighting. Custom board support through Board Builder, a tool for automatically generating linker scripts, debug configuration files, and start-up code based on a board’s memory map.

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.