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

@maxr0ssi/embedding-lab

v0.2.1

Published

Interactive visualization tool for exploring word and sentence embeddings.

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

maxr0ssimaxr0ssi

Keywords

Readme

Embedding Geometry Lab

Interactive visualization tool for exploring word and sentence embeddings.

Words are vectors; meaning is movement.

What is this?

A representation-learning microscope. Pick words, plot their embeddings in 2D/3D, explore raw dimensions, build semantic axes, scrub through transformer layers, and watch meaning emerge from geometry.

Docs

Stack

  • Frontend: React + TypeScript + Plotly
  • Backend: Python (reuses ResumeAI API) + HuggingFace transformers
  • Package: @maxr0ssi/embedding-lab

Status

Design phase.