Python vs. SAMS vs. Toolpad Core vs. scikit-image Comparison Chart

SAMS™ is the next-generation, integrated Screening Solution for all Sanctions, PEP, and Adverse Media Screening needs. Our proprietary database comprises 600+ global/regional Sanctions and Watchlists, 5 million+ PEP entries, and Adverse Media from 55,000+ sources in 50+ languages, updated in near real-time. It also has the flexibility to add other 3rd party or internal databases. SAMS™ is powered by intuitive workflows designed by leading industry experts and automates initial customer screening and ongoing monitoring processes. It has been designed with robust checks and controls, a complete audit trail for regulatory reporting, and powerful visualization capabilities to aid decision-making.

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.