This website is built with the Hugo static site generator. It's designed to work exclusively with the run-benchmarks.sh script, which runs benchmarks on a dedicated server with various GPU models.

How it works

Using the run-benchmarks.sh script, benchmark data is collected and saved to a single JSON file for each engine commit, with 4 runs:
- CPU (debug template)
- CPU (release template)
- GPU (AMD, release template)
- GPU (Intel, release template)
- GPU (NVIDIA, release template)
The produced results (as .json or .md) should be copied into the src-data/benchmarks folder.
The ./generate-content.py script produces .md files in the content folder, so that web pages can be generated for each graph and each benchmark.
Hugo is used to create a homepage listing recent benchmarked commits, plus a single page per engine commit. This allows linking to individual benchmarked commit in a future-proof way.
ApexCharts is used to draw graphs on the homepage.
Water.css is used to provide styling, including automatic dark theme support.

Building

Development

Create JSON data or fetch existing JSON data from the live website, and copy the JSON files into the src-data/benchmarks folder. Files should be named using format YYYY-MM-DD_hash.json where hash is a 9-character Git commit hash of the Godot build used (truncated from a full commit hash). The files can also have the .md extension (for backward compatibility), but they should still be JSON inside.
Run ./generate-content.py. This should create .md pages in both the content/benchmark and the content/graph folders.
Run hugo server.

Production

Follow the same steps as in the Development section above.
Run hugo --minify.