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

face-techainer-websdk

v1.0.0

Published

## Contents

Readme

Face landmarks detection demo

Contents

The face landmarks detection demo shows how to estimate keypoints on a face.

Setup

cd into the demo folder:

cd face-landmarks-detection/demo

Install dependencies and prepare the build directory:

yarn

To watch files for changes, and launch a dev server:

yarn watch

If you are developing face-landmarks-detection locally, and want to test the changes in the demos

Cd into the face-landmarks-detection folder:

cd face-landmarks-detection

Install dependencies:

yarn

Publish face-landmarks-detection locally:

yarn build && yarn yalc publish

Cd into the demos and install dependencies:

cd demo
yarn

Link the local face-landmarks-detection to the demos:

yarn yalc link @tensorflow-models/face-landmarks-detection

Start the dev demo server:

yarn watch

To get future updates from the face-landmarks-detection source code:

# cd up into the face-landmarks-detection directory
cd ../
yarn build && yarn yalc push

To Hadley

  • npm i
  • npm run watch