urx: Stream-Based Reactive State Management Library
urx (pronounced [ju:reks], like Durex) is a minimal, opinionated state management library based on the Reactive Programming paradigm.
urx is designed to be:
- Simple and intuitive;
- Tiny sized, suitable for embedding in other libraries;
- Extensively documented;
- Typescript-native;
- Extensible
urx can be used as a standalone library, or as a state manager framework for React components.
What's urx Suitable For?
urx is especially useful when a complex state management with input parameters which vary independently over time. The reactive programming model enforced by the library abstracts sync / async operations and the different inputs' change sequence.
urx in 3 Minutes
urx implements data streams - primitives which support publishing data to one or more subscriptions.
import { stream, publish, subscribe } from 'urx'
const myStream = stream<number>()
subscribe(myStream, (value) => console.log(`#1 got ${value}`))
subscribe(myStream, (value) => console.log(`#2 got ${value}`))
publish(myStream, 2)Streams are either stateless or stateful. Stateless streams pass the data to existing subscriptions when published. Stateful streams remember the last published value and immediately publish it to new subscriptions.
import { statefulStream, publish, subscribe } from 'urx'
// stateful streams always start with an initial value
const myStatefulStream = statefulStream(2)
subscribe(myStream, (value) => console.log(`#1 got ${value}`))
subscribe(myStream, (value) => console.log(`#2 got ${value}`))
publish(myStream, 3)Actions, like publish and subscribe operate with streams and values.
Stream values can be transformed and controlled by piping through operators. urx includes several operators like map, filter, scan, and throttleTime. The withLatestFrom operator allows the combination of values from other streams.
import { stream, publish, subscribe, map } from 'urx'
const myStream = stream<number>()
// the return value of pipe is an emitter - the "output end" of a stream.
// emitters be subscribed to, but not published in.
// pipe accepts one or more operators as arguments.
const streamX2 = pipe(
myStream,
map((value) => value * 2)
)
subscribe(streamX2, (value) => console.log(`got ${value}`))
publish(myStream, 2)In addition to pipe, urx ships a few more stream transformers like connect, combineLatest and merge.
import { stream, publish, subscribe, map } from 'urx'
const stream1 = stream<number>()
const stream2 = stream<number>()
subscribe(merge(stream1, stream2), (value) => console.log(`got ${value}`)) // 2, 3
subscribe(combineLatest(stream1, stream2), (value) => console.log(`got ${value}`)) // [2, 3]
publish(stream1, 2)
publish(stream2, 3)Stream Systems
— A relatively simple reactive system (credit: Wonderopolis)
Reactive programs implement their logic as graphs from input and output streams, combined and connected through operators and transformers.
urx refers to these graphs as systems and provides a construction utility, called system.
system is a function which has one required parameter: a constructor function that must return a map of streams.
The example below implements an system with two input streams and one output stream that sums the two inputs.
import { stream, publish, subscribe, map, run, system } from 'urx'
const sum = system(() => {
const a = stream<number>()
const b = stream<number>()
const result = pipe(
combineLatest(a, b),
map(([a, b]) => a + b)
)
return {
// a and b are the input streams
a,
b,
// result is the output stream
result,
}
})
const { a, b, result } = run(sum)
subscribe(result, (value) => console.log(value)) // 5
publish(a, 2)
publish(b, 3)The system function implements a dependency injection mechanism, allowing systems to specify other systems as dependencies. This allows decomposing complex systems into smaller, testable chunks.
The example below breaks apart the previous logic into three separate systems.
import { stream, publish, subscribe, map, run, system, tup } from 'urx'
const aSys = system(() => {
const a = stream<number>()
return { a }
})
const bSys = system(() => {
const b = stream<number>()
return { b }
})
const sum = system(([{ a }, { b }]) => {
const result = pipe(
combineLatest(a, b),
map(([a, b]) => a + b)
)
return { a, b, result }
// tup is a typescript utility for constructing tuples.
// If you use plain JS, you can pass [aSys, bSys] instead.
// see https://stackoverflow.com/a/52445008/1009797
}, tup(aSys, bSys))
// run will first instantiate an instance of aSys and bSys,
// and then pass their systems as arguments to the sum constructor.
const { a, b, result } = run(sum)