The pattern is simple: you have a database of entities (restaurants, products, locations, whatever), and you want a high-quality static page for each one. The naive approach is a loop. The production approach is a parallelized render pipeline with proper SEO scaffolding baked in.
programmatic_pages handles the scaffolding: Schema.org JSON-LD per entity type, Open Graph tags, canonical URLs, breadcrumb structured data, and a parallelized render loop that scales to tens of thousands of pages without blocking.
It's the actual tooling that powers BBQ Atlas and several client sites. Open-sourced because the pattern is useful and the Django ecosystem doesn't have a good answer for it.
"The interesting problem isn't rendering HTML. It's making sure every page has the right structured data so search engines understand what the entity actually is."
The library is intentionally minimal — it does one thing well and gets out of the way. No opinion on your template engine, no opinion on your CDN, no opinion on your schema. Bring your queryset, get your pages.
In practice