Self-Hosted Web Database Admin Panels

DbGate is a universal database management tool and SQL client that provides a unified interface for querying and administering multiple SQL and NoSQL databases. It functions as a multi-database administration GUI and SQL IDE, allowing users to write and execute scripts and manage database schemas. The project distinguishes itself by acting as an API client and explorer for REST, GraphQL, and OData services, enabling users to fetch and export data from these endpoints. It also serves as a data integration tool, facilitating the movement of records between diverse databases and file formats such as CSV, JSON, XML, and Excel. The platform covers broad capability areas including data visualization through ER diagrams and geospatial mapping, schema administration with structure comparison and model deployment, and secure connectivity via SSH tunneling and identity provider integration. It also supports automation through the generation of data migration and database operation scripts. The application is designed for multi-platform deployment, running as a native desktop application, a web-based service, or within Docker containers.

Chat2DB is an AI-powered SQL client and multi-database GUI manager designed for managing various relational and NoSQL database systems. It serves as a visual database management tool and a natural language to SQL interface, allowing users to convert plain text descriptions into executable and optimized queries. The platform distinguishes itself through automated business intelligence capabilities, which include the generation of real-time data visualization dashboards and AI-driven data analysis from spreadsheets. To ensure data privacy, it supports secure local AI deployment, enabling large language models to run on-premises so that sensitive metadata is not uploaded to external servers. Broadly, the project covers database administration, visual schema design with entity-relationship diagramming, and data management utilities such as migration assistants and synthetic test data generation. It also provides team collaboration features, including role-based access control and workspace synchronization. The software supports flexible deployment as either a standalone local desktop application or a centralized web-based server.

Mathesar is a no-code database manager and PostgreSQL GUI that provides a visual interface for managing relational database structures and records. It functions as a low-code data platform for administering schemas, tables, and relationships without the need to write manual SQL commands. The platform allows for the creation of shareable forms to collect data and the management of file attachments linked directly to database records. It includes a PostgreSQL administration tool for controlling database roles, user permissions, and data validation rules. The system covers relational data modeling and visual database management, enabling users to link tables and query data through a visual builder. It provides capabilities for importing and exporting data, formatting column displays, and managing record associations via a spreadsheet-like interface.

phpMyAdmin is a web-based interface for administering MySQL and MariaDB databases. Written in PHP, this relational database administrator allows users to perform common database tasks through a browser instead of a command line. The tool provides a graphical interface for database schema design, including the creation and modification of tables, columns, and indexes. It also enables web-based SQL querying to analyze or modify data and handles general server administration for both MySQL and MariaDB.

Chat2DB is an AI-powered SQL client and multi-database management GUI. It serves as a centralized graphical interface for administering diverse relational and non-relational database engines, integrating large language models to transform natural language prompts into executable SQL statements and application code. The tool utilizes schema-aware prompt engineering to inject database metadata into AI requests, ensuring generated queries match the actual schema. It also functions as an AI data reporting tool, using artificial intelligence to create dashboards and visual reports directly from database content. The platform provides broad database administration capabilities, including visual table editing, schema synchronization across environments, and data migration between instances. It also includes utilities for SQL code formatting and automated application code generation. The software is delivered as an Electron-based desktop runtime.

SQL Chat is a Docker-deployed chat interface that translates natural language questions into SQL queries and executes them against connected databases. It uses a large language model to generate SQL from plain English instructions, supporting both querying and record modification through INSERT, UPDATE, and DELETE statements within the chat conversation flow. The application connects to MySQL, PostgreSQL, MSSQL, TiDB Cloud, and OceanBase databases through a unified driver abstraction layer, allowing users to interact with multiple database types from a single chat interface. Users provide their own OpenAI API key for authentication, or can configure a custom API endpoint to use self-hosted or third-party AI models like Ollama. An optional database-backed account system tracks per-user usage, enforces spending limits, and processes payments. The project is packaged as a Docker container with environment variable configuration for authentication and AI service settings, enabling straightforward self-hosted deployment.

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. It supports programmatic diagram generation and scheduled background tasks that refresh visual representations to reflect changes in the underlying database structure. This ensures that technical documentation remains aligned with the live schema, while features like dependency mapping and relationship cardinality visualization provide deeper insights into how data entities interact. Beyond visualization, the tool facilitates schema portability by converting diagrams into standard database markup scripts, enabling version control and migration across different environments. Users can manage their workspace through automated layout engines, grid alignment, and filtering tools, or export diagrams as images for stakeholder sharing. The platform also supports embedding interactive diagrams into external documentation and offers containerized self-hosting options for teams requiring private infrastructure and data sovereignty.

Directus is a headless content platform that functions as a backend service, automatically generating REST and GraphQL APIs by performing introspection on existing SQL database schemas. It serves as a unified data orchestration layer, decoupling content management from frontend delivery while providing a secure, stateless gateway for database transactions. The platform distinguishes itself through a granular role-based access control engine that enforces security policies at the field level across all API endpoints. It includes a visual, low-code administrative dashboard that allows non-technical users to manage database records directly, alongside a dynamic query abstraction layer that ensures consistent data access regardless of the underlying storage engine. Beyond its core API generation capabilities, the system supports complex data workflows through an event-driven webhook architecture and a middleware pipeline for custom logic injection. It also provides integrated digital asset management for storing and transforming media files, facilitating the development of internal tools and rapid backend prototyping.

RedisDesktopManager is a graphical user interface client and database manager for Redis. It serves as a NoSQL database explorer that allows users to visualize, edit, and manage keys and values within a Redis environment without relying on command-line tools. The application focuses on NoSQL data exploration and cache administration, providing a visual way to browse and search through key-value pairs. It includes capabilities for database schema visualization, rendering complex data types such as hashes, lists, and sets in a readable format.

NocoDB is a visual platform that transforms relational databases into collaborative, spreadsheet-style workspaces. By acting as a headless database backend, it provides a unified environment for designing database structures, managing record relationships, and interacting with data without requiring manual SQL queries. The platform normalizes interactions across various SQL and NoSQL data sources, allowing users to manage complex datasets through a centralized interface. The project distinguishes itself by automatically generating RESTful and GraphQL APIs from existing database schemas, enabling external applications to interact with data programmatically. It features a robust event-driven engine that monitors database state changes to trigger webhooks and execute custom logic within a sandboxed automation runtime. This allows for the creation of complex business workflows that synchronize information across third-party services based on real-time data updates. Beyond its core management capabilities, the platform offers a flexible view abstraction layer that renders data in multiple formats, including grids, kanban boards, galleries, forms, and calendars. It supports team collaboration through shared workspaces and provides tools for data visualization, schema design, and automated record manipulation. Comprehensive documentation is available to guide users through the API reference, script creation, and integration workflows.