A physically-based GPU ray tracer written in Julia
We ported pbrt-v4 to Julia and built it into a Makie backend. Any Makie plot can now be rendered with physically-based path tracing. Julia compiles user-defined physics directly into GPU kernels, so anyone can extend the ray tracer with new materials and media - a black hole with gravitational lensing is ~200 lines of Julia. Runs on AMD, NVIDIA, and CPU via KernelAbstractions.jl, with Metal coming soon. Demo scenes: github.com/SimonDanisch/RayDemo
A physically-based GPU ray tracer written in Julia launched on February 19, 2026 with 198 votes, #148 of 16,628 launches that month and more than 99% of that year's launches.
In plain words
A physically-based GPU ray tracer that ports pbrt-v4 to Julia and integrates with the Makie plotting backend. It enables photorealistic rendering of any Makie visualization through path tracing. Users can extend the tracer with custom materials and physics by writing Julia code, which compiles directly to GPU kernels; complex effects like gravitational lensing require minimal code. The tool runs on AMD, NVIDIA, and CPU hardware via KernelAbstractions.jl, with Metal support planned. It targets graphics programmers and researchers working with Julia.
written from the facts on this page · September 2026
From the sources
We're excited to announce RayMakie and Hikari , a physically-based GPU ray tracing pipeline integrated directly into Makie . Any Makie scene can now be rendered with photorealistic path tracing: just swap out the backend and get global illumination, volumetric media, spectral rendering, and physically-based materials, all running on the GPU. All showcase scripts and demo scenes from this post are available at github.com/SimonDanisch/RayDemo . Note: RayMakie, Hikari, and Raycore are not fully released yet — we plan to publish official releases in the coming weeks. In the meantime, the Project.toml in RayDemo will be kept up to date so you can already try things out. Research groups across…from makie.org
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