tawandamoyo/africa-compute-tracker

Tracking ai infrastructure in africa. # Africa AI Datacenter Tracker An open-source, version-controlled tracker for AI-relevant datacenter infrastructure across Africa. The primary product is analytical writeups backed by a credible, sourced dataset — the map is the supporting visual. Every data point has a source, a trust tier, and a retrieval date. **Current scope (v1):** South Africa, Kenya, Nigeria — hyperscaler cloud regions, large carrier-neutral colocation campuses, and purpose-built AI compute facilities announced, under construction, or expanded within the last ~3 years. --- ## Run locally ```bash npm install npm run validate # validate all facility YAML files against the schema npm run dev # start Astro dev server at localhost ``` Build for production: ```bash npm run build # validates then builds to dist/ npm run preview # preview the built site ``` --- ## Repo structure ``` facility.schema.json JSON Schema (v1) — do not edit without updating PROJECT.md data/ facilities/ One YAML file per facility scripts/ validate.mjs AJV validation — run on every build src/ pages/ index.astro Home page + map methodology.astro Methodology and trust tier definitions facilities/[id].astro Dynamic facility detail pages components/ Map.astro MapLibre GL JS map FacilityCard.astro Facility card for the index grid SourceCitation.astro Field value + confidence badge + source links lib/ loadFacilities.js Read and parse YAML files at build time formatters.js Status colours, date formatting, confidence badges styles/ global.css Tailwind v4 entry point ``` --- ## Adding a facility 1. Create `data/facilities/[id].yaml` following the pattern in an existing file. 2. The `id` must be a lowercase slug (`^[a-z0-9-]+$`) and must never change after publish. 3. Every non-trivial field must have an entry in `sourced_fields` with at least one source id and a confidence level (`confirmed …