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 🙏

© 2024 – Pkg Stats / Ryan Hefner

ulid-engawa

v2.3.1

Published

A universally-unique, lexicographically-sortable, identifier generator

Downloads

4

Readme

Build Status codecov npm

Universally Unique Lexicographically Sortable Identifier

UUID can be suboptimal for many uses-cases because:

  • It isn't the most character efficient way of encoding 128 bits of randomness
  • UUID v1/v2 is impractical in many environments, as it requires access to a unique, stable MAC address
  • UUID v3/v5 requires a unique seed and produces randomly distributed IDs, which can cause fragmentation in many data structures
  • UUID v4 provides no other information than randomness which can cause fragmentation in many data structures

Instead, herein is proposed ULID:

  • 128-bit compatibility with UUID
  • 1.21e+24 unique ULIDs per millisecond
  • Lexicographically sortable!
  • Canonically encoded as a 26 character string, as opposed to the 36 character UUID
  • Uses Crockford's base32 for better efficiency and readability (5 bits per character)
  • Case insensitive
  • No special characters (URL safe)
  • Monotonic sort order (correctly detects and handles the same millisecond)

Install with a script tag

<script src="https://unpkg.com/ulid@{{VERSION_NUMBER}}/dist/index.umd.js"></script>
<script>
    ULID.ulid()
</script>

Install with NPM

npm install --save ulid

Import

TypeScript, ES6+, Babel, Webpack, Rollup, etc.. environments

import { ulid } from 'ulid'

ulid() // 01ARZ3NDEKTSV4RRFFQ69G5FAV

CommonJS environments

const ULID = require('ulid')

ULID.ulid()

AMD (RequireJS) environments

define(['ULID'] , function (ULID) {
  ULID.ulid()
});

Usage

To generate a ULID, simply run the function!

import { ulid } from 'ulid'

ulid() // 01ARZ3NDEKTSV4RRFFQ69G5FAV

Seed Time

You can also input a seed time which will consistently give you the same string for the time component. This is useful for migrating to ulid.

ulid(1469918176385) // 01ARYZ6S41TSV4RRFFQ69G5FAV

Monotonic ULIDs

To generate monotonically increasing ULIDs, create a monotonic counter.

Note that the same seed time is being passed in for this example to demonstrate its behaviour when generating multiple ULIDs within the same millisecond

import { monotonicFactory } from 'ulid'

const ulid = monotonicFactory()

// Strict ordering for the same timestamp, by incrementing the least-significant random bit by 1
ulid(150000) // 000XAL6S41ACTAV9WEVGEMMVR8
ulid(150000) // 000XAL6S41ACTAV9WEVGEMMVR9
ulid(150000) // 000XAL6S41ACTAV9WEVGEMMVRA
ulid(150000) // 000XAL6S41ACTAV9WEVGEMMVRB
ulid(150000) // 000XAL6S41ACTAV9WEVGEMMVRC

// Even if a lower timestamp is passed (or generated), it will preserve sort order
ulid(100000) // 000XAL6S41ACTAV9WEVGEMMVRD

Pseudo-Random Number Generators

ulid automatically detects a suitable (cryptographically-secure) PRNG. In the browser it will use crypto.getRandomValues and on node it will use crypto.randomBytes.

Allowing the insecure Math.random

By default, ulid will not use Math.random, because that is insecure. To allow the use of Math.random, you'll have to use factory and detectPrng.

import { factory, detectPrng } from 'ulid'

const prng = detectPrng(true) // pass `true` to allow insecure
const ulid = factory(prng)

ulid() // 01BXAVRG61YJ5YSBRM51702F6M

Use your own PRNG

To use your own pseudo-random number generator, import the factory, and pass it your generator function.

import { factory } from 'ulid'
import prng from 'somewhere'

const ulid = factory(prng)

ulid() // 01BXAVRG61YJ5YSBRM51702F6M

You can also pass in a prng to the monotonicFactory function.

import { monotonicFactory } from 'ulid'
import prng from 'somewhere'

const ulid = monotonicFactory(prng)

ulid() // 01BXAVRG61YJ5YSBRM51702F6M

Implementations in other languages

Refer to ulid/spec

Specification

Refer to ulid/spec

Test Suite

npm test

Performance

npm run perf
ulid
336,331,131 op/s » encodeTime
102,041,736 op/s » encodeRandom
17,408 op/s » generate


Suites:  1
Benches: 3
Elapsed: 7,285.75 ms