A Redux middleware that handles async actions using Cycle.js and functional reactive programming.
Redux-cycles is a Redux middleware that integrates Cycle.js to handle asynchronous actions and side effects using functional reactive programming (FRP). It allows developers to manage side effects declaratively by treating actions as streams and processing them in pure dataflow cycles, avoiding imperative code in action creators or epics.
Redux developers who are familiar with side-effect solutions like redux-thunk, redux-saga, or redux-observable and want a more declarative, testable, and functionally reactive approach to managing async logic.
It offers a pure, stream-based alternative to imperative side-effect libraries, enabling better testability, static typing support, and a clear separation of concerns by pushing side effects to the edges via Cycle.js drivers.
Bring functional reactive programming to Redux using Cycle.js
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Handles side effects explicitly via drivers like HTTP, pushing impure operations to the edges and keeping business logic pure, as shown in the example where requests and responses are separated into distinct streams.
Expresses logic as pure functions over streams of actions and state, avoiding imperative code and improving maintainability, with cycles that are easily composable using utilities like combineCycles.
Cycles are pure functions, so testing involves providing input streams and asserting on output streams, making unit tests straightforward and less reliant on mocks, as highlighted in the testing section.
Built on observables, which are easier to statically type compared to generators used in redux-saga, reducing type-related bugs in complex async workflows, as noted in the comparison with other libraries.
Requires deep understanding of both Redux and Cycle.js/FRP concepts, including streams and drivers, which can be a significant barrier for teams not already invested in reactive programming.
Has a smaller community and fewer resources compared to popular alternatives like redux-saga or redux-observable, with limited third-party drivers and examples beyond basic use cases.
For basic async operations, the overhead of setting up streams and drivers is disproportionate, as simpler middleware like redux-thunk can handle similar tasks with less boilerplate and cognitive load.