Python vs. SignCenter vs. broot vs. scikit-image Comparison Chart

SignCenter, a HIPAA-compliant web-based electronic signature and data capture solution, is suitable for healthcare organizations. With SignCenter, users are able to sign and mark documents using touchscreen, mouse, or keyboard from any device with internet connection. SignCenter enables users to manage the entire signature lifecycle in one place. SignCenter also records the time, date and IP address of the signer's device.

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.