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

@resir014/lerp

v0.1.1

Published

Simple linear interpolation.

Downloads

64

Readme

@resir014/lerp

Simple linear interpolation.

Install

# yarn
$ yarn add @resir014/lerp
# npm
$ npm i @resir014/lerp

The problem

You're working on an article page for a content-heavy site, and you were tasked with two things.

First, you needed to implement a "scroll to" feature in your article page, which will scroll the reader into a certain percentage of an article's content.

Secondly, you needed to create a "progress bar", showing your visitors how far in an article they are.

progress-bar

But in the design handed into you, the content is located not quite above the fold. This means finding the value between two arbitrary window.scrollY values in your page.

How would you go about doing that?

The solution

Linear interpolation! It's the fancy mathematics term to measure a value between a certain range (e.g. 25-100), but it's a perfect solution to the problem mentioned above.

For more interesting uses of linear interpolation, read this Twitter thread by Matt DesLauriers, and this blog post.

Usage

import { lerp, lerpInverse } from '@resir014/lerp'

// Gets the '50% position' value between 1 and 2.
lerp(1, 2, 0.5) // 1.5
// Gets the percentage of a value between 1 and 2.
lerpInverse(1.5, 1, 2) // 0.5 (50%)

Helper functions

Sometimes, when you're performing lerpInverse calculations, the percentage value returned could be either bigger, or smaller than what was intended. To help mitigate this, a clamp function is provided.

import { clamp } from '@resir014/lerp'

// clamp a value between a min-max range.
clamp(1.1, 0, 1) // 1
clamp(-0.2, 0, 1) // 0
clamp(0.5, 0, 1) // 0.5