SimonDanisch

SimonDanisch / RayDemo

Public

Demos of the new Makie Raytracing backend

24
3
100% credibility
Found Feb 20, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Julia
AI Summary

A folder of self-contained example scenes that produce photorealistic 3D renders of phenomena like black holes, volumetric clouds, fluid splashes, and molecular structures.

How It Works

1
🔍 Discover stunning 3D demos

You find a collection of beautiful visual scenes like swirling clouds, glowing proteins, and cosmic black holes that look incredibly real.

2
📥 Download the demo folder

Grab the simple folder of ready-to-use scene files and save it on your computer.

3
🛠️ Prepare your graphics setup

Make sure your computer's graphics hardware is connected and ready for smooth, high-quality visuals.

4
✨ Launch your first scene

Choose a scene like a water splash or starry black hole, start it, and watch lifelike light, shadows, and details magically appear.

5
🌈 Try more amazing scenes

Switch between demos of flocking birds, realistic plants, or massive detectors to create endless variations.

6
🎬 Make animated videos

Turn your favorite scenes into smooth motion clips of smoke trails or splashing water.

🎉 Share your masterpieces

You now have gallery-worthy images and videos of hyper-realistic worlds to impress friends and explore creativity.

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Star Growth

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AI-Generated Review

What is RayDemo?

RayDemo packs Julia scripts showcasing Makie's raytracing backend for GPU-accelerated, physically-based path tracing. It lets you render pro-level scenes like black hole lensing, volumetric clouds from LES sims, water splashes with caustics, CERN detectors, protein ribbons, GLTF models, oil palms, boids flocking, smoke wakes, and terrain overlays—all self-contained and runnable via `julia --project=.`. Solves the hassle of piping Julia sim data to external renderers, delivering spectral renders on AMD ROCm or CUDA.

Why is it gaining traction?

Unlike fragmented C++/Blender pipelines, it blends Julia's sim ecosystem (fluids, particles, Geant4) directly into raytraced output, with custom mediums for spacetime bending or vorticity smoke. Demos mirror ag grid demos github or godot github demos—plug-and-play for instant high-fidelity viz—but target Julia/Makie users eyeing raytracing backends. Low barrier: tweak params, hit render, get animations or stills.

Who should use this?

Julia scientists rendering CFD (Trixi/WaterLily) volumes, physicists visualizing detectors or black holes, bio devs plotting proteins, or anyone prototyping raytraced scenes like rmf demos github for robotics but with path-traced physics. Ideal for databricks demos github-style workflows in Julia, skipping GLTF exports.

Verdict

Grab it if you're in Julia raytracing—demos deliver despite 19 stars and 1.0% credibility from dev-branch deps. README setup works; maturity lags on tests/docs, but fork and extend for quick wins.

(198 words)

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