npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2025 – Pkg Stats / Ryan Hefner

faisceau

v0.0.5

Published

Faisceau is a tiny opinionated wrapper around alien-signals that exposes class-based helpers for signals and computed values

Readme

Faisceau

Faisceau is a tiny opinionated wrapper around alien-signals that exposes class-based helpers for signals and computed values. It keeps the ergonomics of alien-signals while providing:

  • Signal and Computed classes with get, peek, and set helpers.
  • Type guards (isSignal, isComputed) for narrowing.
  • A safe peek helper implemented via setActiveSub so side reads do not create subscriptions.
  • A simple batch helper that pairs startBatch/endBatch.
  • Full re-export of the underlying alien-signals API so you do not lose low-level access.

Installation

pnpm add faisceau

Quick start

import { batch, computed, effect, signal } from 'faisceau'

const count = signal(0)
const double = computed(() => count.get() * 2)
const status = signal<'idle' | 'dirty'>('idle')

effect(() => {
  console.log(
    'count is',
    count.get(),
    'double is',
    double.get(),
    'status is',
    status.peek() // peek avoids subscribing the effect to status changes
  )
})

count.set(1)
console.log(double.get()) // 2

// Update several signals in one go without retriggering the effect for `status`
batch(() => {
  status.set('dirty')
  count.set(count.get() + 1)
  status.set('idle')
})

Because Faisceau re-exports everything from alien-signals, you can still import granular primitives when you need them:

import { effect, effectScope, endBatch, setActiveSub, startBatch } from 'faisceau'

API

signal<T>(initialValue: T): Signal<T>

Creates a Signal instance backed by alien-signals.

  • get() returns the current value and tracks.
  • peek() returns the current value without tracking (temporarily clears the active subscriber).
  • set(value: T) updates the value.

computed<T>(getter: (previousValue?: T) => T): Computed<T>

Creates a Computed instance backed by alien-signals.

  • get() returns the derived value and tracks dependencies.
  • peek() reads the current value without tracking.

isSignal(obj): obj is Signal<any> / isComputed(obj): obj is Computed<any>

Runtime guards that let TypeScript narrow when working with mixed values.

batch(fn: () => void)

Runs fn between startBatch and endBatch, letting alien-signals flush subscribers once.

License

MIT