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The original formulation of functional reactive programming can be found in the ICFP 97 paper Functional Reactive Animation by Conal Elliott and Paul Hudak. [1] FRP has taken many forms since its introduction in 1997. One axis of diversity is discrete vs. continuous semantics. Another axis is how FRP systems can be changed dynamically. [2]
Flapjax is a programming language built on JavaScript. It provides a spreadsheet-like reactive programming, dataflow computing style, termed functional reactive programming, making it easy to create reactive web pages without the burden of callbacks and potentially inconsistent mutation.
ReactiveX may be functional, and it may be reactive, but "functional reactive programming" is a different animal. One main point of difference is that functional reactive programming operates on values that change continuously over time, while ReactiveX operates on discrete values that are emitted over time.
In computing, reactive programming is a declarative programming paradigm concerned with data streams and the propagation of change. With this paradigm, it is possible to express static (e.g., arrays) or dynamic (e.g., event emitters) data streams with ease, and also communicate that an inferred dependency within the associated execution model exists, which facilitates the automatic propagation ...
S-Net coordination language from the University of Hertfordshire, which provides separation of coordination and algorithmic programming; StreamIt from MIT; Siddhi from WSO2; WaveScript functional stream processing, also from MIT. Functional reactive programming could be considered stream processing in a broad sense.
Dataflow programming (a programming language paradigm) Erlang (programming language) Flow-based programming (FBP) Flow control (data) Functional reactive programming; Lazy evaluation; Lucid (programming language) Oz (programming language) Packet flow; Pipeline (computing) Pure Data; State transition; TensorFlow; Theano; Ward-Mellor methodology
XOD is based on functional reactive programming principles and provides graphical flow-based application programming interface. XOD can compile a native machine code for the low-ended controllers. A node is a block that represents either some physical device like a sensor, motor, or relay, or some operation such as addition, comparison, or text ...
Functional programming is very different from imperative programming. The most significant differences stem from the fact that functional programming avoids side effects, which are used in imperative programming to implement state and I/O. Pure functional programming completely prevents side-effects and provides referential transparency.