Riley
Riley is a high performance Zig software rasteriser for digital image correlation uncertainty quantification (DIC UQ). It synthesises deformed speckle images from finite element simulations, with higher order surface elements (tri3, tri6, quad4, quad8, and quad9), camera models and distortion, texture/nodal/analytic shaders, and mixed scenes.
Riley's Zig core uses comptime specialisation and SIMD with @Vector to keep its rendering path direct. It is available as a Zig library and executable, a C compatible ABI, and the riley-raster Python package.
Quick start: Zig
Riley targets Zig 0.16.0. Clone the repository, then build and run the smallest demo:
zig build demo0-quickstart -Doptimize=ReleaseFast
Renders are written below out/. Run the combined smoke suite with:
zig build test-verif-basic -Doptimize=ReleaseSafe
Quick start: Python
Install the published package, The package builds Riley from Zig source locally, so installation can take a several minutes.:
python -m pip install riley-raster
python -m riley demo0_quickstart
Python renders are written below out_riley_py/. For development from a checkout, install it in editable mode:
python -m pip install -e .
Verification and regression tests
The Zig test suites are intentionally separated by purpose. The focused verification suite requires the production f64 and SIMD configuration; run zig build --help for the complete target list and configuration options.
| Command | Purpose |
|---|---|
zig build test-verif-basic -Doptimize=ReleaseSafe |
Fast combination of focused analytic verification and BASIC regression tests. |
zig build test-verif -Doptimize=ReleaseSafe |
Analytic verification of the solver, silhouettes, depth buffer, and camera distortion. |
zig build test-basic -Doptimize=ReleaseSafe |
BASIC regression suite. |
zig build test-full -Doptimize=ReleaseSafe |
Full regression suite. |
Run the packaged Python test suite with:
python -m pytest --pyargs riley.pytests -s
or:
python -m riley test
The repository parity tests compare Python and Zig demo output when the repository assets and Zig compiler are available; they skip when installed from a clean PyPI package.
Examples
Riley keeps the Zig path first. For example, render the rabbits with:
zig build demo3-rabbits -Doptimize=ReleaseFast
The equivalent Python demo is:
python -m riley demo3_rabbits
Browse the complete Zig demo directory or Python demo directory. The image links below are absolute GitHub URLs so they render both on GitHub and on PyPI.
Rabbits
The rabbit scene combines all supported element types and the principal shader families in a single render.
Digital image correlation UQ
A representative stereo DIC UQ render of a plate with a hole in tension.
| Camera 0 | Camera 1 |
|---|---|
 |
 |
Stereo calibration targets
Stereo calibration target renders using the DIC UQ camera setup.
| Camera 0 | Camera 1 |
|---|---|
 |
 |
Project Layout
The main Zig entry point for the rendering pipeline is the raster(...) family in ./src/riley/zig/riley.zig.
Useful top-level locations:
src/: Zig demos, tests, benchmarks and the core Riley sourcesrc/riley/zig/: core Zig implementationsrc/riley/pydemos/: packaged Python demossrc/riley/pytests/: packaged Python testspyscripts/: compatibility wrappers for the packaged Python demo/test entry pointsscripts/: benchmark and performance orchestration scriptsgold/: gold reference rendersout/: Zig render and benchmark outputout_riley_py/: Python render outputdev/README.md: detailed developer testing and benchmark notes
For a mathematical and architectural overview, see the engrXiv preprint: Riley: A computational framework for higher-order finite element image synthesis applied to digital image correlation uncertainty quantification.
C Interface
Riley provides a C-compatible API for use from other languages. The Python bindings use this interface through Cython, but it can also be called from C or from any language with a C FFI.
The public C ABI is intentionally fixed to the production Riley build with: precision=f64, SIMD=on. The extern types and functions live in src/riley/zig/c-riley.zig.
Citing Riley
If you have found Riley useful you can cite it using:
Fletcher, L., Hirst, J., and Bielajewa, W. (2026). Riley: A computational framework for higher-order finite element image synthesis applied to digital image correlation uncertainty quantification. engrXiv preprint. https://engrxiv.org/preprint/view/7300
@article{fletcher2026riley,
title = {Riley: A computational framework for higher-order finite element image synthesis applied to digital image correlation uncertainty quantification},
author = {Fletcher, Lloyd and Hirst, Joel and Bielajewa, Wiera},
year = {2026},
journal = {engrXiv},
note = {Preprint},
url = {https://engrxiv.org/preprint/view/7300}
}
Contributors
- Lloyd Fletcher (ScepticalRabbit), UK Atomic Energy Authority
- Joel Hirst (JoelPhys), UK Atomic Energy Authority
- Wiera Bielajewa (WieraB), UK Atomic Energy Authority
- James Panayis (james-panayis), UK Atomic Energy Authority
- Megan Sampson (meganasampson), UK Atomic Energy Authority
Dedication
Named in memory of Riley, and for Feebee, her sister and bondmate. Without your love and support, this project would never have happened.
3 maintainers
Release files for riley-raster 2026.9.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| riley_raster-2026.9.2.tar.gz | 31.2 MB | Details |
Built distributions (wheels)
Total release size: 1.4 GB
Release files / riley_raster-2026.9.2.tar.gz
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