Cyberalpine
Cyberalpine - an alpine ecosystem of infinite data peaks and verdant data forest ecosystems with data rivers and glaciers streaming data to the living ecologies with hikers and explorers and mountain villages and data ra
Core trick
Maps open datasets onto a procedural Three.js alpine terrain, with rivers and glaciers driven by the data streams.
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Description
Cyberalpine - an alpine ecosystem of infinite data peaks and verdant data forest ecosystems with data rivers and glaciers streaming data to the living ecologies with hikers and explorers and mountain villages and data raves. Open Source data emerges into virtual reality traversable ecosystems where you can seek understanding your way, surrounded by the infinite peaks and forests.
README excerpt
# Cyberalpine **Live:** [cyberalpine.web.app](https://cyberalpine.web.app) **Gemini integration:** [Implementation and API plan](docs/gemini-integration.md). A private generation CLI and validated artifact loader are implemented. A validated six-dataset interpretation was generated with Gemini 2.5 Flash through GenerateContent; the public browser loads that artifact without making model calls. Omni video generation remains planned. A buildless Three.js ecosystem for Cyberquest. Serve `public/` with an HTTP server; opening `index.html` as a local file will not load the JSON manifest or JavaScript modules. ```sh python3 -m http.server 8766 --directory public ``` Open http://localhost:8766. No package installation, API key, or paid model call is needed. Three.js r180 and its MIT license are vendored locally. ## Geography Tabular data becomes peaks; relational data becomes valley forests; nested objects become wooded foothills. Declared information transformations become rivers. Archive glaciers identify the acquired snapshot. A carved lake, boathouse, record buoys, and steerable inspection boat make retained collections traversable. This prototype uses a 2025-10-25 through 2026-10-25 selection window. Its four acquired source collections contain 139 records: 11 BLS CPI observations, 11 BLS unemployment observations, 78 Crossref journal-article metadata records, and 39 Crossref book metadata records. Crossref samples are bounded by calendar month and are not exhaustive or