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 🙏

© 2026 – Pkg Stats / Ryan Hefner

@glucoseiq/testing

v1.0.0-next.0

Published

Fixed-seed synthetic CGM data and scenario fixtures for tests, examples, and local product states.

Readme

@glucoseiq/testing

Fixed-seed CGM-shaped fixtures for tests, examples, and local demos. Requires Node >=24.

Install

npm install @glucoseiq/testing

First use

import { generateCGMSeries, scenarios } from '@glucoseiq/testing'

const readings = generateCGMSeries({ days: 14, seed: 7 })
const traceWithGap = scenarios.gappyTrace()

console.log(readings.length, traceWithGap.length)

Options and defaults

generateCGMSeries accepts these options:

| Option | Default | Meaning | | --- | --- | --- | | days | 1 | Number of days. | | intervalMin | 5 | Minutes between readings. | | seed | 42 | Safe integer used to repeat the same generated series. | | start | 2024-01-01T00:00:00Z | ISO timestamp for the first day. | | basal | 110 | Baseline in mg/dL. | | mealTimes | 420, 780, 1140 | Meal times as minutes of day. | | mealAmplitude | 70 | Nominal meal excursion amplitude in mg/dL. | | noise | 8 | Maximum correlated sensor variation in mg/dL. | | nocturnalHypoDays | [] | Zero-based days receiving a smooth 02:00–04:00 dip. | | unit | mg/dL | Output unit, either mg/dL or mmol/L. |

The seed gives each meal its own timing offset (-15 to +25 minutes), peak amplitude (65% to 125% of mealAmplitude), 40- to 90-minute rise, and 120- to 210-minute recovery. Meal responses ease in and out instead of changing direction sharply. Sensor variation is bounded and carries across neighboring readings, while requested nocturnal lows form a smooth two-hour depression.

The steadyDay, hypoNight, rollercoaster, and gappyTrace scenarios use fixed settings and seeds.

Invalid input

Invalid input throws RangeError. The generator validates option shape, numeric bounds, the start timestamp, units, meal-time arrays, and requested output size before allocating the result.

Safety limits

One call is capped at 100,000 readings and 100,000 seeded meal responses. The output is synthetic CGM-shaped data and is not clinically representative or a substitute for validation with real device data. Do not use generated values for medical decisions.

Documentation