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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.
Lets non-technical teams query company databases and files in plain English and get auto-generated SQL and charts.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI chat assistant for analysts that generates and fixes SQL using an organization's own saved query history.
No public pricing
No public pricing
Free trial available
No public pricing
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
- ✦Natural-language chat interface over connected databases and files
- ✦Automatic SQL query generation from plain-English requests
- ✦Direct SQL entry for technical users
- ✦Support for CSV, Excel, PDF, DOC, and DOCX uploads
- ✦Downloadable chart and table outputs
- ✦Slack and website chatbot embedding with UI customization
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦AI chat trained on the user's own SQL repository
- ✦query saving, tagging, and versioning
- ✦team folder permissions and sharing
- ✦Chrome extension and IntelliJ plugin
- ✦SOC2-compliant security with no database access needed
- ✦table and field lookup assistance
- →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
- →Letting business teams self-serve data questions without SQL skills
- →Generating ad hoc SQL queries faster for analysts
- →Embedding a data Q&A chatbot into Slack for teams
- →Consolidating file and database sources into one chat interface
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →sharing reusable SQL snippets across an analytics team
- →quickly fixing syntax errors in existing queries
- →onboarding new analysts to a team's existing SQL logic
- →building a searchable personal or team SQL knowledge base