The join-calculus is a process calculus developed at INRIA. The join-calculus was developed to provide a formal basis for the design of distributed programming languages, and therefore intentionally avoids communications constructs found in other process calculi, such as rendezvous communications, which are difficult to implement in a distributed setting. Despite this limitation, the join-calculus is as expressive as the full π-calculus. Encodings of the π-calculus in the join-calculus, and vice versa, have been demonstrated. The join-calculus is a member of the π-calculus family of process calculi, and can be considered, at its core, an asynchronous π-calculus with several strong restrictions: Scope restriction, reception, and replicated reception are syntactically merged into a single construct, the definition; Communication occurs only on defined names; For every defined name there is exactly one replicated reception. However, as a language for programming, the join-calculus offers at least one convenience over the π-calculus — namely the use of multi-way join patterns, the ability to match against messages from multiple channels simultaneously. Implementations Languages based on the join-calculus The join-calculus programming language is a new language based on the join-calculus process calculus. It is implemented as an interpreter written in OCaml, and supports statically typed distributed programming, transparent remote communication, agent-based mobility, and some failure-detection. Though not explicitly based on join-calculus, the rule system of CLIPS implements it if every rule deletes its inputs when triggered (retracts the relevant facts when fired). Many implementations of the join-calculus were made as extensions of existing programming languages: JoCaml is a version of OCaml extended with join-calculus primitives Polyphonic C# and its successor Cω extend C# MC# and Parallel C# extend Polyphonic C# Join Java extends Java A Concurrent Basic proposal that uses Join-calculus JErlang (the J is for Join, erjang is Erlang for the JVM) Embeddings in other programming languages These implementations do not change the underlying programming language but introduce join calculus operations through a custom library or DSL: The ScalaJoins and the Chymyst libraries are in Scala JoinHs by Einar Karttunen and syallop/Join-Language by Samuel Yallop are DSLs for Join calculus in Haskell Joinads - various implementations of join calculus in F# CocoaJoin is an experimental implementation in Objective-C for iOS and Mac OS X The Join Python library is in Python 3 C++ via Boost (for boost from 2009, ca. v. 40, current (Dec '19) is 72). References External links INRIA, Join Calculus homepage Microsoft Research,