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

Declare AWS Lambda functions and their triggers through simple abstract syntax in YAML. AWS Lambda functions, triggers & code will be deployed and wired together in the cloud, automatically. Install thousands of Serverless Framework Plugins to build new serverless use-cases on AWS and integrate with other tools. Track usage, performance, errors on your serverless apps with instant, powerful metrics. See all of your serverless applications and their resources in one place, regardless of AWS account or region. Easily share secrets, outputs from your serverless applications and delegate AWS account access. You can deploy many familiar use-cases instantly with the Serverless Framework. From REST APIs on Node.js, Python, Go, Java, to GraphQL APIs, scheduled tasks, Express.js applications, and front-end applications.

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.