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Rdataflow is a JavaScript library for assembling computational processes.
It's like a spreadsheet calculator for your code.
npm add rdataflow
import { calc } from "rdataflow/calc";
import { storeState } from "rdataflow/store";
import { WriteableState } from "rdataflow/write";
const redApples = WriteableState.value(5);
const greenApples = WriteableState.value(0);
const oranges = WriteableState.value(10);
const apples = calc(() => {
const r = redApples.value;
const g = greenApples.value;
const sum = r + g;
console.log(`${r} red apples + ${g} green apples = ${sum} apples`);
return sum;
});
const fruit = calc(() => {
const a = apples.value;
const o = oranges.value;
const sum = a + o;
console.log(`${a} apples + ${o} oranges = ${sum} fruit`);
return sum;
});
const store = storeState(output);
// 5 red apples + 0 green apples = 5 apples
// 5 apples + 10 oranges = 15 fruit
greenApples.setValue(10);
// 5 red apples + 5 gree apples = 10 apples
// 10 apples + 10 oranges = 20 fruit
oranges.setValue(6);
// 10 apples + 6 oranges = 16 fruit
store.dispose();
Rdataflow recomputes when inputs, caching results and errors. When computations are no longer required, they are disposed of.
The implementation of Rdataflow is rather simple, yielding robustness and good performance.
calc()
combines other states.
Because calc()
is synchronous, no dependencies need be pre-declared outside
the calculation function itself.
Changes are applied transactionally, prevent unnecessary or inconsistent calculations. If a transaction does not exist, it is created automatically.
States can be converted to and from RxJS Observables.
import { stateToRx } from "rdataflow/observable";
import { WriteableState } from "rdataflow/write";
const state = WriteableState.value(1);
const observable = stateToRx(state);
const subscription = observable.subscribe((state) => console.log(state));
// 1
state.setValue(2);
// 2
subscription.unsubscribe();
FAQs
Library for assembling computational processes
The npm package rdataflow receives a total of 3,808 weekly downloads. As such, rdataflow popularity was classified as popular.
We found that rdataflow demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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