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

llmrun

v1.0.1

Published

Run open-source LLMs on AWS EC2 from a local CLI — pick a model, spin up a right-sized GPU instance, and get a local OpenAI-compatible endpoint over AWS SSM.

Readme

Why llmrun?

  • No local GPU required — your laptop stays cool. Models run on a right-sized AWS GPU instance you spin up on demand and let idle-stop when you're done.
  • Pay for infrastructure, not tokens — no per-token pricing. You pay AWS on-demand rates (~$0.80/hr for a 7B model) only while the instance is running.
  • Your data stays in your cloud — inference never leaves your AWS account. No third-party API sees your prompts, code, or documents — full isolation for sensitive or proprietary work.

Install

npm install -g llmrun
# or
pnpm add -g llmrun

Quick start

llmrun init      # scaffold llmrun.yaml
llmrun doctor    # check prerequisites
llmrun up        # pick a model → approve cost → provision → connect

Your model is now available at http://localhost:8000/v1 — a full OpenAI-compatible endpoint.

Docs

Full documentation at https://tomaszczechowski.github.io/llmrun — configuration, model catalog, coding assistant integrations, and command reference.

License

Apache-2.0