From the README: Reflow comprises: - a functional, lazy, type-safe domain specific language for writing workflow programs; - a runtime for evaluating Reflow

From the README: Reflow comprises: - a functional, lazy, type-safe domain specific language for writing workflow programs; - a runtime for evaluating Reflow programs incrementally, coordinating cluster execution, and transparent memoization; - a cluster scheduler to dynamically provision and tear down resources from a cloud provider (AWS currently supported). and Reflow was designed to support sophisticated, large-scale bioinformatics workflows, but should be widely applicable to scientific and engineering computing workloads. It was built using Go. Reflow joins a long list of systems designed to tackle bioinformatics workloads, but differ from these in important ways: - it is a vertically integrated system with a minimal set of external dependencies; this allows Reflow to be "plug-and-play": bring your cloud credentials, and you're off to the races; - it defines a strict data model which is used for transparent memoization and other optimizations; - it takes workflow software seriously: the Reflow DSL provides type checking, modularity, and other constructors that are commonplace in general purpose programming languages; because of its high level data model and use of caching, Reflow computes incrementally: it is always able to compute the smallest set of operations given what has been computed previously.