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

kiln-render

v0.2.1

Published

A WebGPU-native out-of-core renderer for large virtualized volumetric data

Downloads

79

Readme

Kiln

A WebGPU-native out-of-core volume rendering system for large virtualized volumetric datasets.

Kiln streams multi-gigabyte volumes over HTTP, rendering them at interactive framerates using a fixed-size VRAM page cache and virtual texture indirection.

Documentation: Usage Guide · Architecture · Rendering Pipeline · Data Guide · WebGPU Notes · References


Chameleon CT Scan

2160.0 MB - 1024 × 1024 × 1080 @ 16-bit

Live Demo

Beechnut micro CT Scan (experimental OME-Zarr)

3092.0 MB - 1024 × 1024 × 1546 @ 16-bit

Live Demo

Install

npm install kiln-render
import { KilnViewer } from 'kiln-render';

const canvas = document.querySelector('canvas');
const viewer = await KilnViewer.create(canvas, 'https://your-dataset.ome.zarr');

Requires a browser with WebGPU support. See the Usage Guide for the full API.


Features

  • Out-of-core streaming - Fixed VRAM footprint, SSE-based LOD selection, LRU brick cache
  • OME-Zarr & Kiln binary - Stream from S3, CDN, or load local files (OME-Zarr v0.5, single-channel, uint8/uint16)
  • 16-bit support - Native r16unorm textures with window/level controls
  • Compute shader raymarching - Brick-aware DVR, MIP, and isosurface rendering
  • Transfer functions - Interactive curve editor with color/opacity presets
  • Worker-based pipeline - Parallel decompression and brick assembly off the main thread

Quick Start (development)

# Install dependencies
npm install

# Start development server
npm run dev

# Build for production
npm run build

The demo loads a sample dataset from S3. To load custom datasets, see the Usage Guide.

Browser Requirements

Kiln requires WebGPU support:

  • Chrome/Edge 113+
  • Safari 26+
  • Firefox 141+

Make sure hardware acceleration is enabled in your browser settings.

Sample Datasets

From the Open SciVis Datasets collection:

  • Chameleon - CT scan of Chamaeleo calyptratus. Digital Morphology, 2003.
  • Beechnut - MicroCT scan of a dried beechnut. Computer-Assisted Paleoanthropology, University of Zurich.
  • Stag Beetle - Industrial CT scan. Meister Eduard Gröller, Georg Glaeser, Johannes Kastner, 2005.

License

Apache 2.0


Note

Read the full write-up on dev.to

Partly Kiln builds upon my earlier work on volume rendering