The Howdy Glossary

Dependent ML is a statically typed programming language extending Standard ML, which facilitates writing formally verified programs by supporting dependent types. These types allow programmers to express exact relationships between data values and operations within the type system, enabling the verification of program properties during compile time and minimizing runtime errors. The language employs type inference and proof automation to ease coding with intricate type dependencies and formal verification needs.

The creation of Dependent ML involved researchers and developers specializing in programming languages and formal verification. It aims to enhance Standard ML by incorporating dependent types, type inference, and proof automation for handling complex type dependencies effectively. Key competitors include Coq, Agda, and Idris; each offers similar capabilities for formal verification but varies in focus—Coq excels in theorem proving, Agda supports interactive theorem proving with functional programming, while Idris emphasizes practical programming alongside formal verification.

Dependent ML differentiates itself through its seamless integration of dependent types into the existing Standard ML framework, making it accessible for those familiar with ML-style programming. Its emphasis on type inference and proof automation simplifies dealing with complex type dependencies or formal verification requirements. This reduces runtime errors by verifying program properties at compile time, enhancing software reliability. Thus, Dependent ML is an appealing choice for developers seeking a balance between expressive type systems and practical programming within an established language ecosystem.