This project is an automated data visualization engine designed to generate dynamic images and charts from repository and user activity. It functions as a modular framework that aggregates statistics and engagement history to produce visual summaries for embedding directly into profile documentation.
The system operates through a configuration-driven execution model that leverages automated workflows to fetch and process data without requiring a persistent server. By utilizing a plugin-based architecture, it connects to diverse external web services to pull information, which is then rendered into static images using vector-based templates.
Users can customize the visual appearance of these outputs to match specific aesthetic requirements while maintaining up-to-date information through scheduled updates. The platform supports a wide range of reporting capabilities, including the visualization of coding habits, contribution history, and language usage statistics.
