6 repositorios
Utilities for generating visual or textual documentation from database schemas.
Distinguishing note: Focuses on documentation output rather than schema design or execution.
Explore 6 awesome GitHub repositories matching data & databases · Database Documentation Tools. Refine with filters or upvote what's useful.
gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos
Synchronizes documentation structure and file paths automatically based on detected code changes.
DrawDB is a browser-based visual database modeler designed for creating, organizing, and documenting relational database schemas. It provides an interactive interface for drag-and-drop entity relationship mapping, allowing users to plan and visualize complex data architectures through a centralized workspace. The platform distinguishes itself by enabling real-time collaborative design, allowing teams to iterate on schemas while maintaining a single source of truth. It functions entirely on the client side, utilizing local memory for state management and saving data directly to the local file
Creates clear visual representations of database structures to assist in long-term maintenance.
ChartDB is a database schema visualizer and entity-relationship diagramming platform designed to help developers understand, design, and document complex data architectures. It functions as a visual workspace where users can create and modify database schemas, define table attributes, and map foreign key relationships. By parsing database metadata or SQL scripts, the tool generates interactive diagrams that provide a clear overview of structural interdependencies and data associations. The platform distinguishes itself through its focus on automated documentation and schema synchronization. I
Maintains synchronized visual documentation of database schemas through automated imports and background tasks.
Liam es un visualizador de esquemas de bases de datos y generador interactivo de diagramas entidad-relación. Analiza esquemas SQL y formatos ORM para crear representaciones visuales de estructuras de bases de datos, permitiendo a los usuarios analizar las relaciones entre tablas y navegar por diseños complejos. El proyecto se distingue por su integración en tuberías CI/CD, actuando como un automatizador de documentación que sincroniza los diagramas con los cambios en el esquema de la base de datos durante el despliegue. Admite compartir perspectivas específicas de un esquema mediante enlaces de vista basados en coordenadas que capturan niveles de zoom precisos y vistas filtradas. La herramienta proporciona una amplia gama de capacidades de visualización, incluyendo renderizado de lienzo interactivo con desplazamiento y zoom, filtrado de vistas basado en estados para reducir el desorden visual y manipulación manual de nodos para reorganizar diseños. También admite la generación de diagramas estáticos para su uso en repositorios internos.
Automates the synchronization of visual database documentation within deployment pipelines.
tbls is a Go-based command line utility used for documenting, analyzing, and linting relational database schemas. It functions as a documentation tool that generates structured reports and entity-relationship diagrams in Markdown, JSON, or Excel formats, as well as a schema diff tool for identifying discrepancies between a live database and its documentation. The project allows for schema augmentation and the definition of virtual relationships through external configuration files, enabling metadata overrides and table connections without requiring database migrations or native constraints. I
Generates structured reports and ER diagrams from database schemas in multiple formats.
DBML is a domain-specific language and schema definition language used for documenting database architecture and design. It provides a human-readable text format for defining database tables, columns, and relationships in a standardized way. The project functions as a relational schema parser and SQL schema generator. It transforms declarative design specifications into an abstract syntax tree for programmatic manipulation and converts these definitions into executable SQL statements across various database dialects. The system covers relational data modeling, database schema design, and arc
Creates a maintainable, version-controlled source of truth for database architecture and design.