u/Away_Falcon_6731

Hi again,

Have you ever wanted to experience the true fun of having WebGPU-native out-of-core rendering of large virtualized volumetric datasets directly in your application?

You can now do exactly that with:

npm i kiln-render

I recently wrote about this volume rendering project here and here.

In the meantime, I refactored the internals into what I’d now consider a stable and usable API surface and published an initial installable package to the official npm registry.

So this is now the official address of our friend Kilian:

https://www.npmjs.com/package/kiln-render

Talk soon. Hopefully on the repository issue tracker.

And also feel free to drop a star on Github.

Thanks & Ciao.

Hi folks,

A few weeks ago I wrote about one of my current projects on volume rendering here.

Since then the renderer got some traction in the bioimaging community. Since then I worked on things like better support for the OME-Zarr format, local filesystem streaming (Chrome/Edge) and a few other improvements regarding performance and usability.

And today the project was accepted to the OME-NGFF tools list and is now listed on their community portal as a suggested viewer for people who work with Zarr datasets.

https://ngff.openmicroscopy.org/resources/tools/index.html#zarr-viewers

Still early days with support for v0.5, single-channel 8/16-bit unsigned int, but features such as v0.4 support, multi-channel rendering and more are already planned.

Wanted to share this here, since the renderer evolved into something that is now part of the ecosystem. Which feels great!

A big thanks to everyone who commented and provided feedback — it really helped shape this into something that is actually useful.

For reference:

Live demo: https://mpanknin.github.io/kiln-render

GitHub: https://github.com/MPanknin/kiln-render