Open-source web-based database diagram editor that visualizes schemas from a single query and exports SQL scripts.
ChartDB is an open-source, web-based database diagramming editor that enables developers to instantly visualize and design database schemas. It simplifies database documentation, migration, and team collaboration by converting schema queries into interactive diagrams without requiring database passwords or installations.
Database administrators, backend developers, and data engineers who need to visualize, document, or migrate schemas across multiple database systems like PostgreSQL, MySQL, SQL Server, MariaDB, SQLite, CockroachDB, and ClickHouse.
Developers choose ChartDB for its instant, secure schema import via a single query without sharing database credentials, AI-powered export for generating migration scripts across different database dialects, and full feature access without requiring an account.
Database diagrams editor that allows you to visualize and design your DB with a single query.
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Allows developers to retrieve database schema as JSON with a single query, enabling fast visualization without requiring database passwords, as highlighted in the key features.
Generates DDL scripts in target database dialects using AI, simplifying cross-database migrations as described in the AI-Powered Export section.
Provides full feature access without creating an account, prioritizing ease of use and reducing barriers to entry, as stated in the features.
Works with a wide range of databases including PostgreSQL, MySQL, SQL Server, and more, making it versatile for various environments.
The project is in Public Beta, which means it may have bugs, incomplete features, or undergo breaking changes, as indicated in the Status section.
AI capabilities require configuring an OpenAI API key or custom inference server, introducing potential costs, privacy concerns, and setup complexity, as noted in the build instructions.
Visualization depends on manually running a query and pasting the JSON result, lacking automated or real-time sync with live databases, which can be cumbersome for frequent updates.