3 Repos
Awesome GitHub RepositoriesVisual Database Modelers
Interactive tools for designing and documenting relational databases via drag-and-drop interfaces.
Distinguishing note: Focuses on the visual modeling interface as a primary identity.
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Awesome Visual Database Modelers GitHub Repositories
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- drawdb-io/drawdb
drawdb-io/drawdb
37,382Auf GitHub ansehenDrawDB 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
Provides a browser-based interface for designing and documenting relational schemas through interactive diagrams.
JavaScriptdatabase-schemadiagram-editoreditor - dotnet/efcore
dotnet/efcore
14,587Auf GitHub ansehenEntity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context. The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a
Generates data access layers from existing database schemas or visual diagrams.
C#aspnet-productc-sharpdatabase - bram2w/baserow
bram2w/baserow
5,085Auf GitHub ansehenBaserow is a no-code relational database and application builder that allows users to create structured data tables and business tools through a visual interface. It functions as a headless REST API data backend and a self-hosted data workspace, providing a platform for managing collaborative databases while maintaining full control over data residency. The platform integrates large language models to serve as an LLM-powered data platform, capable of generating database structures, record content, and technical workflows from natural language. It also acts as a Model Context Protocol server,
Offers a visual interface for designing and defining database fields and relationships.
Python
