This project is a GitHub contribution streak tracker and profile README statistic generator. It functions as a deployable server that calculates consecutive days of commits, pull requests, and issues to produce dynamic visual cards displaying a user's total, current, and longest activity streaks. The tool generates customizable SVG activity stat cards that can be embedded directly into profile overviews. It features a parameter-driven theme engine for modifying colors and borders, as well as localization support for translating labels and formatting dates. The system includes configurable st
GitHub Trends is a tool that generates embeddable SVG cards displaying live code contribution statistics from GitHub activity. It focuses on visualizing lines of code written per programming language, per repository, and over specified time periods, designed for inclusion in GitHub profile readmes. The project provides a range of SVG card types, including language breakdown cards that show a user's top programming languages by lines of code committed, repository activity cards that rank repositories by contribution volume, and time-based contribution cards that display code written over a cho
This project is a web-based Markdown profile builder designed to create professional landing pages for GitHub accounts. It functions as a profile README generator that collects user details and professional statistics to produce formatted Markdown code for showcasing technical skills and achievements. The tool distinguishes itself by integrating live data cards, such as contribution metrics and visitor counters, and providing an RSS feed embedder for automated blog syndication. It also automates the setup process by importing public user information and suggesting relevant skills based on a G
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