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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 Tailwind CSS visual builder that generates UIs from prompts or templates and exports clean code to 10+ frameworks.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
No public pricing
No public pricing
Free trial available
- ✦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
- ✦Drag and drop Tailwind CSS visual builder
- ✦1000+ editable template blocks
- ✦AI-powered page generation
- ✦Visual style editing
- ✦Tailwind code export
- ✦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)
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
- →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
- →Building websites and UIs quickly
- →Prototyping designs visually
- →Exporting Tailwind code to any framework
- →Recreating designs from screenshots
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements