npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details


  • User packages



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.


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 🙏

© 2022 – Pkg Stats / Ryan Hefner




provide common graph algorithms implemented with WebGPU




AntV Graph Algorithm based on WebGPU

webgpu-graph is a GPU accelerated graph analytics library, with functionality like WebGPU which provides modern features such as compute shader(in WGSL). Compared with CPU version, we almost gain ~100x speed up with big datasets.

It's inspired by cuGraph and other implementations based on CUDA.



How to use WebGPU

For our examples, we use origin trial. The origin trial is expected to end in Chrome 101 (May 18, 2022).

Since we are using latest syntax of WGSL, you'd better update your Chrome to the latest version.


import { pageRank, WebGPUGraph } from '@antv/webgpu-graph';

// initialize WebGPU context
const graph = new WebGPUGraph();

// call async method
const result = await graph.pageRank(graph_data, eps, alpha, max_iter);


  • Install dependencies: yarn install
  • For production, compile the project: yarn build


| name | vertices and edges | CPU time elapsed | GPU time elapsed | Speed up | | -------- | ------------------------ | ---------------- | ---------------- | -------- | | SSSP | 1k vertices & 5k edges | 27687.10 ms | 261.60 ms | ~100x | | PageRank | 1k vertices & 500k edges | 13641.50 ms | 130.20 ms | ~100x |