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Open-source, agent-first admin-panel framework for Vue3/Node.js with auth, plugins and AI features to build back-office panels fast.
AI-powered SQL optimizer for PostgreSQL and MySQL that auto-rewrites and indexes queries; now free as part of Aiven.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦CRUD admin panel from a database URL
- ✦Vue3 components and Tailwind theming with dark mode
- ✦Auth plugins: OAuth2/SSO, TOTP/WebAuthn 2FA
- ✦Audit log, S3 upload and CSV import/export plugins
- ✦AI plugins for autocomplete, translation and bulk data
- ✦Custom pages, dashboards and background jobs
- ✦Automatic SQL query optimization
- ✦Query rewriting and indexing suggestions
- ✦Non-intrusive performance sensor
- ✦Ongoing performance insights
- ✦Database cost-reduction recommendations
- ✦PostgreSQL and MySQL support
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- →Developers building internal back-office tools
- →Adding an admin panel to an existing database
- →Creating AI/agent-assisted back-office workflows
- →Self-hosting a customizable admin UI
- →Optimizing slow SQL queries
- →Monitoring database performance
- →Reducing database CPU and storage costs
- →Getting indexing recommendations
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects