A self-contained Swift script that parses `applications.json` and generates the entire README.md. It demonstrates a clean pattern of source-of-truth data stored in JSON, with a scripting layer that produces human-friendly documentation. The script handles dynamic stat tables, language icon mappings, badge generation, and screenshot collapsible sections. It is tightly coupled to the specific data schema but could be extracted with some refactoring to serve as a general-purpose awesome-list generator from JSON.

The canonical dataset of over 700 open-source macOS applications. Its schema (title, short_description, categories, repo_url, icon_url, screenshots, official_site, languages) forms a reusable pattern for building any curated list or application directory. Despite some inconsistencies and missing fields, the schema is straightforward and could be adopted by other listing projects. The real-world diversity of entries (from small hobby apps to major projects like VLC, Firefox, and Visual Studio Code) also serves as a valuable test corpus for link verification and metadata enrichment tools.