Type systems

Comparison of programming languages by type system

This is a comparison of the features of the type systems and type checking of multiple programming languages. Brief definitions * A nominal type system means that the language decides whether types are compatible and/or equivalent based on explicit declarations and names. * A structural type system means that the language decides whether types are compatible and/or equivalent based on the definition and characteristics of the types. * Type checking determines whether and when types are verified. Static checking means that type errors are reported based on a program's text (source code). Dynamic checking means that type errors are reported based on a program's dynamic (run-time) behavior. (Wikipedia).

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Related pages

Mercury (programming language) | Visual Prolog | MATLAB | ChucK | Type safety | Wolfram Language | Nominal type system | Nim (programming language) | Cython | Oz (programming language) | Latent typing | Alice (programming language) | Alma-0 | Lua (programming language) | Eiffel (programming language) | Scala (programming language) | Type inference | Haxe | Erlang (programming language) | LabVIEW | Julia (programming language) | Type system | Structural type system | Ceylon (programming language) | Dart (programming language) | Tagged union | Pure (programming language) | Prolog | CoffeeScript | Clojure | Curry (programming language) | Agda (programming language) | Forth (programming language) | TypeScript | Type checking | Clean (programming language)