exocore VS procedural-gl-js

I have been working for a few years now on Exomind[1], a personal knowledge management tool that takes the form of a unified inbox in which you can have your emails, tasks, notes and bookmarks organized into collections. I have iOS and web/electron clients at the moment and a simple browser extension for bookmarking.

Its backend (Exocore[2]) is built on top of a personal / private blockchain and is made from the ground up to be hosted in a semi-decentralized fashion on your own personal devices (your computer, raspberry pi, a cloud instance, etc.). It is written in Rust and has iOS, C and Web (WASM) clients. It's extensible via WebAssembly written applications.

It has very rough edges, but I'm using it daily to organize my life. It has also been my learning playground to improve my Rust skills over the last two years (it was on another tech stack before).

[1]: https://github.com/appaquet/exomind [2]: https://github.com/appaquet/exocore

[2] https://github.com/appaquet/exocore

Nice writeup, I always like it when the shaders are highlighted like this. I got started in a similar way 7 years ago and have been making 3D terrains with THREE.js & WebGL since.

The real fun begins when you need to implement some sort of Level-of-Detail system and streaming in data to give the illusion of high detail everywhere without sacrificing performance.

Last year I released an open-source framework (https://github.com/felixpalmer/procedural-gl-js) for creating 3D terrains for web applications, you can see Uluru here: https://www.procedural.eu/map/?longitude=131.036&latitude=-2... (unfortunately the aerial imagery from our default provider isn't as high resolution as other places in Europe)

Great visualization and approach with compressing the tile data. Do you have a comparison of how much smaller the payload ends up being compared to simply sending PNG files?

I use PNGs to encode elevation data in my 3D mapping library (https://github.com/felixpalmer/procedural-gl-js/) and this does a pretty good job of compressing the data, for example in the ocean the PNG files are also very small as the image is mostly black. Different use case I now as your data is much more sparse, but I wonder how close the PNG compression would be compared to your approach.

Yeah, the React parts of this are very minimal. I'm not really sure what using it gets you, since it just manages a single div.

The _actual_ library that does all the work is here: https://github.com/felixpalmer/procedural-gl-js

- Tiny filesize means library is parsed fast. Package size is less than THREE.js thanks to code stripping

Check it out on Github: https://github.com/felixpalmer/procedural-gl-js/

The imagery comes from the Orthofoto dataset on https://www.basemap.at/ - the actual texturing is done by the Procedural GL JS library https://github.com/felixpalmer/procedural-gl-js