Signals

🏆 The goal of this library is to provide a lightweight reactivity API for other UI libraries to be built on top of. It follows the "lazy principle" that Svelte adheres to - don't do any unnecessary work and don't place the burden of figuring it out on the developer.

This is a tiny (~1kB minzipped) library for creating reactive observables via functions called signals. You can use signals to store state, create computed properties (y = mx + b), and subscribe to updates as its value changes.

🪶 Light (~1kB minzipped)
💽 Works in both browsers and Node.js
🌎 All types are observable (i.e., string, array, object, etc.)
🕵️‍♀️ Only updates when value has changed
⏱️ Batched updates via microtask scheduler
😴 Lazy by default - efficiently re-computes only what's needed
🔬 Computations via computed
📞 Effect subscriptions via effect
🐛 Debugging identifiers
💪 Strongly typed - built with TypeScript

⏭️ Skip to API

⏭️ Skip to TypeScript

⏭️ Skip to Benchmarks

Here's a simple demo to see how it works:

import { root, signal, computed, effect, tick } from '@maverick-js/signals';

root((dispose) => {
  // Create - all types supported (string, array, object, etc.)
  const $m = signal(1);
  const $x = signal(1);
  const $b = signal(0);

  // Compute - only re-computed when `$m`, `$x`, or `$b` changes.
  const $y = computed(() => $m() * $x() + $b());

  // Effect - this will run whenever `$y` is updated.
  const stop = effect(() => {
    console.log($y());

    // Called each time `effect` ends and when finally disposed.
    return () => {};
  });

  $m.set(10); // logs `10` inside effect

  // Flush queue synchronously so effect is run.
  // Otherwise, effects will be batched and run on the microtask queue.
  tick();

  $b.set((prev) => prev + 5); // logs `15` inside effect

  tick();

  // Nothing has changed - no re-compute.
  $y();

  // Stop running effect.
  stop();

  // ...

  // Dispose of all signals inside `root`.
  dispose();
});

Installation

$: npm i @maverick-js/signals

$: pnpm i @maverick-js/signals

$: yarn add @maverick-js/signals

API

root
signal
computed
effect
peek
untrack
readonly
tick
computedMap
computedKeyedMap
onError
onDispose
isReadSignal
isWriteSignal
getScope
scoped
getContext
setContext

`root`

Computations are generally child computations. When their respective parent scope is destroyed so are they. You can create orphan computations (i.e., no parent). Orphans will live in memory until their internal object references are garbage collected (GC) (i.e., dropped from memory):

import { computed } from '@maverick-js/signals';

const obj = {};

// This is an orphan - GC'd when `obj` is.
const $b = computed(() => obj);

Orphans can make it hard to determine when a computation is disposed so you'll generally want to ensure you only create child computations. The root function stores all inner computations as a child and provides a function to easily dispose of them all:

import { root, signal, computed, effect } from '@maverick-js/signals';

root((dispose) => {
  const $a = signal(10);
  const $b = computed(() => $a());

  effect(() => console.log($b()));

  // Disposes of `$a`, $b`, and `effect`.
  dispose();
});

// `root` returns the result of the given function.
const result = root(() => 10);

console.log(result); // logs `10`

`signal`

Wraps the given value into a signal. The signal will return the current value when invoked fn(), and provide a simple write API via set(). The value can now be observed when used inside other computations created with computed and effect.

import { signal } from '@maverick-js/signals';

const $a = signal(10);

$a(); // read
$a.set(20); // write (1)
$a.set((prev) => prev + 10); // write (2)

Warning Read the tick section below to understand batched updates.

`computed`

Creates a new signal whose value is computed and returned by the given function. The given compute function is only re-run when one of it's dependencies are updated. Dependencies are are all signals that are read during execution.

import { signal, computed, tick } from '@maverick-js/signals';

const $a = signal(10);
const $b = signal(10);
const $c = computed(() => $a() + $b());

console.log($c()); // logs 20

$a.set(20);
tick();
console.log($c()); // logs 30

$b.set(20);
tick();
console.log($c()); // logs 40

// Nothing changed - no re-compute.
console.log($c()); // logs 40

import { signal, computed } from '@maverick-js/signals';

const $a = signal(10);
const $b = signal(10);
const $c = computed(() => $a() + $b());

// Computed signals can be deeply nested.
const $d = computed(() => $a() + $b() + $c());
const $e = computed(() => $d());

`effect`

Invokes the given function each time any of the signals that are read inside are updated (i.e., their value changes). The effect is immediately invoked on initialization.

import { signal, computed, effect } from '@maverick-js/signals';

const $a = signal(10);
const $b = signal(20);
const $c = computed(() => $a() + $b());

// This effect will run each time `$a` or `$b` is updated.
const stop = effect(() => console.log($c()));

// Stop observing.
stop();

You can optionally return a function from inside the effect that will be run each time the effect re-runs and when it's finally stopped/disposed of:

effect(() => {
  return () => {
    // Called each time effect re-runs and when disposed of.
  };
});

`peek`

Returns the current value stored inside the given compute function whilst disabling observer tracking, i.e. without triggering any dependencies. Use untrack if you want to also disable scope tracking.

import { signal, computed, peek } from '@maverick-js/signals';

const $a = signal(10);

const $b = computed(() => {
  // `$a` will not trigger updates on `$b`.
  const value = peek($a);
});

`untrack`

Returns the current value inside a signal whilst disabling both scope and observer tracking. Use peek if only observer tracking should be disabled.

import { signal, effect, untrack } from '@maverick-js/signals';

effect(() => {
  untrack(() => {
    // `$a` is now an orphan and also not tracked by the outer effect.
    const $a = signal(10);
  });
});

`readonly`

Takes in the given signal and makes it read only by removing access to write operations (i.e., set()).

import { signal, readonly } from '@maverick-js/signals';

const $a = signal(10);
const $b = readonly($a);

console.log($b()); // logs 10

// We can still update value through `$a`.
$a.set(20);

console.log($b()); // logs 20

`tick`

By default, signal updates are batched on the microtask queue which is an async process. You can flush the queue synchronously to get the latest updates by calling tick().

Note You can read more about microtasks on MDN.

import { signal } from '@maverick-js/signals';

const $a = signal(10);

$a.set(10);
$a.set(20);
$a.set(30); // only this write is applied

import { signal, tick } from '@maverick-js/signals';

const $a = signal(10);

// All writes are applied.
$a.set(10);
tick();
$a.set(20);
tick();
$a.set(30);

`computedMap`

Note Same implementation as indexArray in Solid JS. Prefer computedKeyedMap when referential checks are required.

Reactive map helper that caches each item by index to reduce unnecessary mapping on updates. It only runs the mapping function once per item and adds/removes as needed. In a non-keyed map like this the index is fixed but value can change (opposite of a keyed map).

import { signal, tick } from '@maverick-js/signals';
import { computedMap } from '@maverick-js/signals/map';

const source = signal([1, 2, 3]);

const map = computedMap(source, (value, index) => {
  return {
    i: index,
    get id() {
      return value() * 2;
    },
  };
});

console.log(map()); // logs `[{ i: 0, id: $2 }, { i: 1, id: $4 }, { i: 2, id: $6 }]`

source.set([3, 2, 1]);
tick();

// Notice the index `i` remains fixed but `id` has updated.
console.log(map()); // logs `[{ i: 0, id: $6 }, { i: 1, id: $4 }, { i: 2, id: $2 }]`

`computedKeyedMap`

Note Same implementation as mapArray in Solid JS. Prefer computedMap when working with primitives to avoid unnecessary re-renders.

Reactive map helper that caches each list item by reference to reduce unnecessary mapping on updates. It only runs the mapping function once per item and then moves or removes it as needed. In a keyed map like this the value is fixed but the index changes (opposite of non-keyed map).

import { signal, tick } from '@maverick-js/signals';
import { computedKeyedMap } from '@maverick-js/signals/map';

const source = signal([{ id: 0 }, { id: 1 }, { id: 2 }]);

const nodes = computedKeyedMap(source, (value, index) => {
  const div = document.createElement('div');

  div.setAttribute('id', String(value.id));
  Object.defineProperty(div, 'i', {
    get() {
      return index();
    },
  });

  return div;
});

console.log(nodes()); // [{ id: 0, i: $0 }, { id: 1, i: $1 }, { id: 2, i: $2 }];

source.set((prev) => {
  // Swap index 0 and 1
  const tmp = prev[1];
  prev[1] = prev[0];
  prev[0] = tmp;
  return [...prev]; // new array
});

tick();

// No nodes were created/destroyed, simply nodes at index 0 and 1 switched.
console.log(nodes()); // [{ id: 1, i: $0 }, { id: 0, i: $1 }, { id: 2, i: $2 }];

`onError`

Runs the given function when an error is thrown in a child scope. If the error is thrown again inside the error handler, it will trigger the next available parent scope handler.

import { effect, onError } from '@maverick-js/signals';

effect(() => {
  onError((error) => {
    // ...
  });
});

`onDispose`

Runs the given function when the parent scope computation is being disposed of.

import { effect, onDispose } from '@maverick-js/signals';

const listen = (type, callback) => {
  window.addEventListener(type, callback);
  // Called when the effect is re-run or finally disposed.
  onDispose(() => window.removeEventListener(type, callback));
};

const stop = effect(
  listen('click', () => {
    // ...
  }),
);

stop(); // `onDispose` is called

The onDispose callback will return a function to clear the disposal early if it's no longer required:

effect(() => {
  const dispose = onDispose(() => {});
  // ...
  // Call early if it's no longer required.
  dispose();
});

`isReadSignal`

Whether the given value is a readonly signal.

// True
isReadSignal(10);
isReadSignal(() => {});
isReadSignal(signal(10));
isReadSignal(computed(() => 10));
isReadSignal(readonly(signal(10)));

// False
isReadSignal(false);
isReadSignal(null);
isReadSignal(undefined);

`isWriteSignal`

Whether the given value is a write signal (i.e., can produce new values via write API).

// True
isWriteSignal(signal(10));

// False
isWriteSignal(false);
isWriteSignal(null);
isWriteSignal(undefined);
isWriteSignal(() => {});
isWriteSignal(computed(() => 10));
isWriteSignal(readonly(signal(10)));

`getScope`

Returns the currently executing parent scope.

root(() => {
  const scope = getScope(); // returns `root` scope.

  effect(() => {
    const $a = signal(0);
    getScope(); // returns `effect` scope.
  });
});

`scoped`

Runs the given function in the given scope so context and error handling continue to work.

import { root, getScope, scoped } from '@maverick-js/signals';

root(() => {
  const scope = getScope();

  // Timeout will lose tracking of the current scope.
  setTimeout(() => {
    scoped(() => {
      // Code here will run with root scope.
    }, scope);
  }, 0);
});

`getContext`

Attempts to get a context value for the given key. It will start from the parent scope and walk up the computation tree trying to find a context record and matching key. If no value can be found undefined will be returned. This is intentionally low-level so you can design a context API in your library as desired.

In your implementation make sure to check if a parent scope exists via getScope(). If one does not exist log a warning that this function should not be called outside a computation or render function.

Note See the setContext code example below for a demo of this function.

`setContext`

Attempts to set a context value on the parent scope with the given key. This will be a no-op if no parent scope is defined. This is intentionally low-level so you can design a context API in your library as desired.

In your implementation make sure to check if a parent scope exists via getScope(). If one does not exist log a warning that this function should not be called outside a computation or render function.

import { root, getContext, setContext } from '@maverick-js/signals';

const key = Symbol();

root(() => {
  setContext(key, 100);
  // ...
  root(() => {
    const value = getContext(key); // 100
  });
});

Debugging

The signal, computed, and effect functions accept a debugging ID (string) as part of their options.

import { signal, computed } from '@maverick-js/signals';

const $foo = signal(10, { id: 'foo' });

Note This feature is only available in a development or testing Node environment (i.e., NODE_ENV).

TypeScript

import {
  isReadSignal,
  isWriteSignal,
  type Effect,
  type ReadSignal,
  type WriteSignal,
  type MaybeSignal,
} from '@maverick-js/signals';

// Types
const signal: ReadSignal<number>;
const computed: ReadSignal<string>;
const effect: Effect;

// Provide generic if TS fails to infer correct type.
const $a = computed<string>(() => /* ... */);

const $b: MaybeSignal<number>;

if (isReadSignal($b)) {
  $b(); // ReadSignal<number>
}

if (isWriteSignal($b)) {
  $b.set(10); // WriteSignal<number>
}

Benchmarks

Layers

This benchmark was taken from cellx. It tests how long it takes for an n deeply layered computation to update. The benchmark can be found here.

Each column represents how deep computations were layered. The average time taken to update the computation out of a 100 runs is used for each library.

Notes

Nearly all computations in a real world app are going to be less than 10 layers deep, so only the first column really matters.
This benchmark favours eagerly scheduling computations and aggresive caching in a single long computation subtree. This is not a great benchmark for signals libraries as it doesn't measure what really matters such as dynamic graph updates, source/observer changes, and scope disposals.

Reactively

This benchmark was taken from reactively. It sets up various computation graphs with a set number of sources (e.g., 1000x5 is 1000 computations with a tree depth of 5). The benchmark measures how long it takes for changes to be applied after static or dynamic updates are made to the graph (i.e., pick a node and update its value).

Notes

This assumes Solid JS is in batch-only mode which is not realistic as a real world app won't have batch applied everywhere.

Inspiration

@maverick-js/signals was made possible based on code and learnings from:

Reactively
Solid JS
Sinuous
Hyperactiv
Svelte Scheduler

Special thanks to Modderme, Wesley, Julien, and Solid/Svelte contributors for all their work 🎉

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README.md

README.md

Signals

Installation

API

`root`

`signal`

`computed`

`effect`

`peek`

`untrack`

`readonly`

`tick`

`computedMap`

`computedKeyedMap`

`onError`

`onDispose`

`isReadSignal`

`isWriteSignal`

`getScope`

`scoped`

`getContext`

`setContext`

Debugging

TypeScript

Benchmarks

Layers

Notes

Reactively

Notes

Inspiration

Files

README.md

Latest commit

History

README.md

File metadata and controls

Signals

Installation

API

root

signal

computed

effect

peek

untrack

readonly

tick

computedMap

computedKeyedMap

onError

onDispose

isReadSignal

isWriteSignal

getScope

scoped

getContext

setContext

Debugging

TypeScript

Benchmarks

Layers

Notes

Reactively

Notes

Inspiration

`root`

`signal`

`computed`

`effect`

`peek`

`untrack`

`readonly`

`tick`

`computedMap`

`computedKeyedMap`

`onError`

`onDispose`

`isReadSignal`

`isWriteSignal`

`getScope`

`scoped`

`getContext`

`setContext`