QueryLab is a full-stack application for learning SQL in your browser. It features a Monaco editor, client-side PostgreSQL execution powered by PGlite (the best engine matching standard SQL format), AI-powered SQL generation, and a beautiful mobile-first UI.

• Node.js 18+
• npm or pnpm
• DeepSeek API key (for AI features)
• Resend API key (for email verification)

1. Clone the repository:

   git clone https://github.com/zamdevio/querylab.git
   cd querylab

2. Set up Backend:

   cd Backend
   npm install
   # Configure ENVIRONMENT in wrangler.jsonc (development or production)
   # Set secrets via .dev.vars (local) or Wrangler secrets (production)
   # See Backend/README.md for detailed setup instructions

3. Set up Frontend:

   cd Frontend
   npm install
   # Configure NEXT_PUBLIC_API_URL in .env.local or edit "DEFAULT_API_URL" in Frontend/src/lib/config.ts
   # See Frontend/README.md for detailed setup instructions

For detailed setup and deployment guides, see:

• Backend README - Backend setup, configuration, and deployment
• Frontend README - Frontend setup, configuration, and deployment

QueryLab/
├── Backend/ # Hono backend (Cloudflare Workers)
│ ├── src/
│ │ ├── app.ts # Main Hono app
│ │ ├── routes/ # API routes
│ │ └── lib/ # Services and utilities
│ ├── wrangler.jsonc # Cloudflare Workers config
│ └── README.md # Backend documentation
│
├── Frontend/ # Next.js frontend
│ ├── app/ # Next.js App Router pages
│ ├── src/
│ │ ├── components/ # React components
│ │ └── lib/ # Utilities and clients
│ ├── public/ # Static assets
│ └── README.md # Frontend documentation
│
└── Documentations/ # Detailed documentation (markdown files)

• 🎨 Beautiful UI with light/dark mode
• 📱 Mobile-first responsive design
• 💻 Monaco SQL editor with syntax highlighting
• 🗄️ PGlite: PostgreSQL compiled to WebAssembly - the best engine matching standard SQL format
• 🤖 AI-powered SQL generation and error fixing
• 💾 IndexedDB persistence for databases
• 📤 Import/Export .sql files
• ⌨️ Keyboard shortcuts (Cmd/Ctrl+Enter to run)
• 📊 Interactive schema explorer
• 🔐 Email-based authentication
• ⚡ Rate limiting and security

• Client-Side Execution: All SQL runs in your browser - your data never leaves your device
• Edge-Ready Backend: Cloudflare Workers for global performance
• AI Integration: DeepSeek AI for intelligent SQL assistance
• Modern Stack: Next.js 16, React 19, Hono, PGlite

1. Write SQL: Type your SQL queries in the Monaco editor
2. Run Query: Press Cmd/Ctrl+Enter or click "Run Query"
3. Ask AI: Click "Ask AI" to generate SQL from natural language
4. Fix Errors: Use "Fix With AI" when you encounter SQL errors
5. Explore Schema: Click on tables in the schema explorer
6. Import/Export: Use the buttons to import or export .sql files

• Backend README - Complete backend setup, configuration, API reference, and deployment guide
• Frontend README - Complete frontend setup, configuration, and deployment guide

📖 Getting Started: See Documentations/getting-started.md for a complete beginner's guide

📖 API Reference: See Documentations/api-reference.md for detailed API documentation

📖 Deployment Guide: See Documentations/deployment.md for step-by-step deployment instructions

📖 Authentication: See Documentations/authentication.md for authentication flow and security details

📖 Database Management: See Documentations/database-management.md for database operations guide

📖 SQL Editor: See Documentations/sql-editor.md for SQL editor features and shortcuts

📖 AI Features: See Documentations/ai-features.md for AI-powered SQL generation and fixing

📖 Troubleshooting: See Documentations/troubleshooting.md for common issues and solutions

Frontend:

• Next.js 16 (App Router) + React 19
• PGlite (PostgreSQL compiled to WebAssembly)
• Monaco Editor (VS Code editor)
• Tailwind CSS
• IndexedDB

Backend:

• Hono (web framework)
• Cloudflare Workers (edge runtime)
• Durable Objects (state management)
• DeepSeek AI (SQL generation)
• Resend (email service)

See Backend/README.md and Frontend/README.md for detailed tech stack information.

This project is licensed under the MIT License - see the LICENSE file for details.

Contributions welcome! Please open an issue or submit a PR.