Awesome GitHub RepositoriesData Model Templating

Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches

RenderCV is a command-line utility designed to transform structured YAML data into professionally typeset documents. By separating content from presentation, it allows users to maintain version-controlled resumes that are automatically rendered into high-quality PDF, HTML, and Markdown formats. The system leverages a specialized typesetting engine to ensure precise layout control and professional-grade typography. The project distinguishes itself through a schema-driven approach that enforces strict data validation, ensuring that input files are error-free before processing. Users can customi

HackMyResume is a command-line tool that generates polished résumés and CVs in multiple formats from a single JSON or YAML data source. It validates résumé documents against the FRESH or JSON Resume schema, converts between these two formats, and produces output in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, and YAML. The tool supports custom themes through a plugin architecture, allowing users to apply visual styling via Handlebars templates and register custom helpers for extended template logic. It can merge multiple résumé JSON files into one, overriding generic data with

Open-resume is an ATS-friendly resume builder and browser-based document editor designed for creating professional resumes with a focus on applicant tracking system readability. It functions as a resume template engine that allows users to construct structured documents while keeping all personal data stored locally in the browser to ensure privacy and data ownership. The project features a PDF resume parser that extracts professional information from existing files to automatically populate new templates. It also includes ATS compatibility testing to verify how effectively automated tracking