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  2. Reactive programming - Wikipedia

    en.wikipedia.org/wiki/Reactive_programming

    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 ...

  3. Functional reactive programming - Wikipedia

    en.wikipedia.org/.../Functional_reactive_programming

    reactive-banana is a target-agnostic push FRP implementation in Haskell. netwire and varying are arrowized, pull FRP implementations in Haskell. Flapjax is a behavior–event FRP implementation in JavaScript. React is an OCaml module for functional reactive programming.

  4. Event-driven programming - Wikipedia

    en.wikipedia.org/wiki/Event-driven_programming

    Event-driven programming is the dominant paradigm used in graphical user interfaces applications and network servers. In an event-driven application, there is generally an event loop that listens for events and then triggers a callback function when one of those events is detected.

  5. Event-driven architecture - Wikipedia

    en.wikipedia.org/wiki/Event-driven_architecture

    Event-driven architecture (EDA) is a software architecture paradigm concerning the production and detection of events. Event-driven architectures are evolutionary in nature and provide a high degree of fault tolerance, performance, and scalability. However, they are complex and inherently challenging to test. EDAs are good for complex and ...

  6. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...

  7. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    Book: Dataflow and Reactive Programming Systems; Basics of Dataflow Programming in F# and C#; Dataflow Programming - Concept, Languages and Applications; Static Scheduling of Synchronous Data Flow Programs for Digital Signal Processing; Handling huge loads without adding complexity The basic concepts of dataflow programming, Dr. Dobb's, Sept. 2011

  8. ReactiveX - Wikipedia

    en.wikipedia.org/wiki/ReactiveX

    ReactiveX (Rx, also known as Reactive Extensions) is a software library originally created by Microsoft that allows imperative programming languages to operate on sequences of data regardless of whether the data is synchronous or asynchronous. It provides a set of sequence operators that operate on each item in the sequence.

  9. Complex event processing - Wikipedia

    en.wikipedia.org/wiki/Complex_event_processing

    SEDA - Staged event-driven architecture decomposes complex, event-driven architectures into stages; Event Processing Technical Society — (EPTS) is an event processing community of interest; Event stream processing — (ESP) is a related technology that focuses on processing streams of related data. Kinetic Rule Language — (KRL) is an event ...