[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10455":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":44,"readmeContent":45,"aiSummary":46,"trendingCount":16,"starSnapshotCount":16,"syncStatus":19,"lastSyncTime":47,"discoverSource":48},10455,"whodb","clidey\u002Fwhodb","clidey","A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface","https:\u002F\u002Fwhodb.com",null,"Go",4852,211,21,8,0,5,39,2,28.98,"Apache License 2.0",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"anthropic","clickhouse","data-analysis","data-visualization","database","elasticsearch","explorer","golang","lightweight","mariadb","mongodb","mysql","ollama","openai","postgresql","reactjs","sqlite3","typescript","vite","2026-06-12 02:02:22","\u003Cdiv align=\"center\">\n\n# \u003Cimg src=\".\u002Fdocs\u002Flogo\u002Flogo.svg\" width=\"30px\" height=\"auto\" \u002F>  WhoDB\n\n### *Lightweight, Fast, and Beautiful Database Management*\n\n\u003C!-- [![Build Status](https:\u002F\u002Fhello.clidey.com\u002Fapi\u002Fflows\u002Fstatus?id=b32257fa-1415-4847-a0f3-e684f5f76608&secret=cd74dbd5-36ec-42f9-b4f0-12ce9fcc762b)](https:\u002F\u002Fclidey.com) -->\n![Release workflow](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Factions\u002Fworkflow\u002Fstatus\u002Fclidey\u002Fwhodb\u002Frelease-ce.yml?branch=main)\n![release version](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fv\u002Frelease\u002Fclidey\u002Fwhodb)\n![release date](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease-date\u002Fclidey\u002Fwhodb)\n![docker pulls](https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fpulls\u002Fclidey\u002Fwhodb)\n![release downloads](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fdownloads\u002Fclidey\u002Fwhodb\u002Ftotal)\n![docker size](https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fimage-size\u002Fclidey\u002Fwhodb\u002Flatest)\n\n[\u002F\u002F]: # ([![E2E Tests](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Factions\u002Fworkflows\u002Fe2e-ce.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Factions\u002Fworkflows\u002Fe2e-ce.yml))\n\n![Commits per month](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fcommit-activity\u002Fm\u002Fclidey\u002Fwhodb)\n![last commit](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flast-commit\u002Fclidey\u002Fwhodb)\n![PRs Welcome](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPRs-welcome-brightgreen.svg)\n![contributors](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fcontributors\u002Fclidey\u002Fwhodb)\n![closed issues](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fissues-closed\u002Fclidey\u002Fwhodb)\n![closed PRs](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fissues-pr-closed\u002Fclidey\u002Fwhodb)\n\n[![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-Apache%202.0-blue.svg)](LICENSE)\n[![GitHub Stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fclidey\u002Fwhodb?style=social)](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fstargazers)\n![Go](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flanguage-Go-00ADD8?logo=go&logoColor=white)\n![TypeScript](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flanguage-TypeScript-3178c6?logo=typescript&logoColor=white)\n[![Go Report Card](https:\u002F\u002Fgoreportcard.com\u002Fbadge\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fcore)](https:\u002F\u002Fgoreportcard.com\u002Freport\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fcore)\n\n## Available on\n\n[![Docker](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDocker-available-brightgreen)](https:\u002F\u002Fhub.docker.com\u002Frepository\u002Fdocker\u002Fclidey\u002Fwhodb)\n[![Windows](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FWindows-available-brightgreen)](https:\u002F\u002Fapps.microsoft.com\u002Fdetail\u002F9pftx5bv4ds6)\n[![macOS](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FmacOS-available-brightgreen)](https:\u002F\u002Fapps.apple.com\u002Fapp\u002Fwhodb\u002Fid6754566536)\n[![Snap](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FSnap-available-brightgreen)](http:\u002F\u002Fsnapcraft.io\u002Fwhodb)\n[![CLI](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCLI-available-brightgreen)](.\u002Fcli\u002FREADME.md)\n\n[🚀 Quick Start](#quick-start) • [📖 Documentation](https:\u002F\u002Fdocs.whodb.com\u002F) • [🎮 Live Demo](https:\u002F\u002Fdemo.whodb.com\u002Flogin?host=quick-container-491288b0-3138-48fa-93b4-1e730296c0b7.hello.svc.cluster.local&username=user&password=password&database=Adventureworks) • [💬 Community](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fdiscussions)\n\n\u003C\u002Fdiv>\n\n---\n\n\u003Cp align=\"center\">\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F06-storage-unit-list-with-sidebar.png\" alt=\"WhoDB Interface\" width=\"100%\" height=\"auto\" \u002F>\u003C\u002Fp>\n\n## 🎯 What is WhoDB?\n\n**WhoDB is the modern database management tool that developers actually want to use.**\n\nBuilt with GoLang and React, WhoDB is a lightweight (\u003C50MB) yet powerful database client that combines blazing-fast performance with an intuitive, beautiful interface. Whether you're debugging a production issue, exploring a new database schema, or managing data for your next feature, WhoDB makes database management feel effortless.\n\n### Why WhoDB?\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd width=\"50%\">\n\n**🚀 Lightning Fast**\n- Instant startup (\u003C1s)\n- Real-time query results\n- Efficient table virtualization\n- 90% less resource usage than traditional tools\n\n**🎨 Beautiful & Intuitive**\n- Clean, modern interface\n- Spreadsheet-like data grid\n- Interactive schema visualization\n- No training required\n\n\u003C\u002Ftd>\n\u003Ctd width=\"50%\">\n\n**🤖 AI-Powered**\n- Natural language to SQL\n- Talk to your data conversationally\n- Supports Ollama, OpenAI, Anthropic, and any OpenAI-compatible provider\n- No complex query writing needed\n\n**🔧 Developer-Friendly**\n- Multi-database support\n- Query history & management\n- Mock data generation\n- Flexible export options\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftable>\n\n## ✨ Key Features\n\n### 📊 Visual Data Management\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd width=\"50%\">\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F09-data-view-users-table.png\" alt=\"Data Grid View\" width=\"100%\"\u002F>\n\u003C\u002Ftd>\n\u003Ctd width=\"50%\">\n\n**Spreadsheet-Like Data Grid**\n- View, edit, and manage data intuitively\n- Sort, filter, and search with ease\n- Inline editing with real-time updates\n- Bulk operations for efficiency\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftable>\n\n### 🔍 Interactive Schema Explorer\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd width=\"50%\">\n\n**Visual Schema Topology**\n- Interactive graph visualization\n- Explore table relationships\n- Understand foreign keys instantly\n- Pan, zoom, and navigate easily\n\n\u003C\u002Ftd>\n\u003Ctd width=\"50%\">\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F24-graph-view-schema-topology.png\" alt=\"Schema Graph\" width=\"100%\"\u002F>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftable>\n\n### 💻 Powerful Query Interface\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd width=\"50%\">\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F27-scratchpad-main-view.png\" alt=\"Scratchpad\" width=\"100%\"\u002F>\n\u003C\u002Ftd>\n\u003Ctd width=\"50%\">\n\n**Scratchpad Query Editor**\n- Jupyter-like notebook interface\n- Syntax highlighting & auto-completion\n- Query history & reuse\n- Multi-cell organization\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftable>\n\n### 🗄️ Multi-Database Support\n\n**Community Edition (CE):** PostgreSQL, MySQL, SQLite3, MongoDB, Redis, MariaDB, ElasticSearch\n\n**Enterprise Edition (EE):** All CE databases plus Oracle, SQL Server, DynamoDB, Athena, Snowflake, Cassandra, and more\n\n### 🎯 Advanced Capabilities\n\n- **Mock Data Generation** - Generate realistic test data for development\n- **Flexible Export Options** - Export to CSV, Excel, JSON, or SQL\n- **Advanced Filtering** - Build complex WHERE conditions visually\n- **AI-Powered Queries** - Convert natural language to SQL with Ollama, OpenAI, Anthropic, or any OpenAI-compatible provider\n\n---\n\n## 🎮 Try WhoDB Now\n\n\u003Cdiv align=\"center\">\n\n**Experience WhoDB in action without any setup**\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd align=\"center\" width=\"50%\">\n\u003Ch3>🌐 Live Demo\u003C\u002Fh3>\n\u003Cp>Try WhoDB instantly with our sample database\u003C\u002Fp>\n\u003Ca href=\"https:\u002F\u002Fwhodb.com\u002Fdemo\u002Flogin?host=quick-container-491288b0-3138-48fa-93b4-1e730296c0b7.hello.svc.cluster.local&username=user&password=password&database=Adventureworks\">\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F01-login-page.png\" alt=\"Login Page\" width=\"80%\"\u002F>\n\u003C\u002Fa>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwhodb.com\u002Fdemo\u002Flogin?host=quick-container-491288b0-3138-48fa-93b4-1e730296c0b7.hello.svc.cluster.local&username=user&password=password&database=Adventureworks\">\u003Cstrong>Launch Demo →\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cem>Pre-filled with sample PostgreSQL database\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003Ctd align=\"center\" width=\"50%\">\n\u003Ch3>🎥 Video Demo\u003C\u002Fh3>\n\u003Cp>Watch WhoDB in action\u003C\u002Fp>\n\u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FhnAQcYYzcLo\">\n\u003Cimg src=\"https:\u002F\u002Fimg.youtube.com\u002Fvi\u002FhnAQcYYzcLo\u002Fmaxresdefault.jpg\" alt=\"WhoDB Demo Video\" width=\"80%\"\u002F>\n\u003C\u002Fa>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FhnAQcYYzcLo\">\u003Cstrong>Watch Video →\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cem>Complete walkthrough of features\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftable>\n\n\u003C\u002Fdiv>\n\n---\n\n## 🚀 Quick Start\n\n### Option 1: Docker (Recommended)\n\nThe fastest way to get started with WhoDB:\n\n```bash\ndocker run -it -p 8080:8080 clidey\u002Fwhodb\n```\n\nThen open [http:\u002F\u002Flocalhost:8080](http:\u002F\u002Flocalhost:8080) in your browser.\n\n### Option 2: Docker Compose\n\nFor more control and configuration:\n\n```yaml\nversion: \"3.8\"\nservices:\n  whodb:\n    image: clidey\u002Fwhodb\n    ports:\n      - \"8080:8080\"\n    environment:\n      # AI Integration (Optional)\n      # Ollama Configuration\n      - WHODB_OLLAMA_HOST=localhost\n      - WHODB_OLLAMA_PORT=11434\n\n      # Anthropic Configuration\n      - WHODB_ANTHROPIC_API_KEY=your_key_here\n      # - WHODB_ANTHROPIC_ENDPOINT=https:\u002F\u002Fapi.anthropic.com\u002Fv1\n\n      # OpenAI Configuration\n      - WHODB_OPENAI_API_KEY=your_key_here\n      # - WHODB_OPENAI_ENDPOINT=https:\u002F\u002Fapi.openai.com\u002Fv1\n\n      # Generic AI Providers (OpenAI-compatible endpoints)\n      # Use WHODB_AI_GENERIC_\u003CID>_* to add any OpenAI-compatible provider.\n      # \u003CID> can be any unique identifier (e.g., LMSTUDIO, OPENROUTER).\n      #\n      # LM Studio example:\n      # - WHODB_AI_GENERIC_LMSTUDIO_NAME=LM Studio\n      # - WHODB_AI_GENERIC_LMSTUDIO_BASE_URL=http:\u002F\u002Fhost.docker.internal:1234\u002Fv1\n      # - WHODB_AI_GENERIC_LMSTUDIO_MODELS=mistral-7b,llama-3-8b\n      #\n      # OpenRouter example:\n      # - WHODB_AI_GENERIC_OPENROUTER_NAME=OpenRouter\n      # - WHODB_AI_GENERIC_OPENROUTER_BASE_URL=https:\u002F\u002Fopenrouter.ai\u002Fapi\u002Fv1\n      # - WHODB_AI_GENERIC_OPENROUTER_API_KEY=your_key_here\n      # - WHODB_AI_GENERIC_OPENROUTER_MODELS=google\u002Fgemini-2.0-flash-001,anthropic\u002Fclaude-3.5-sonnet\n    # volumes: # (Optional for SQLite)\n    #   - .\u002Fsample.db:\u002Fdb\u002Fsample.db\n```\n\n### What's Next?\n\n1. **Connect to your database** - Enter your database credentials on the login page\n2. **Explore your schema** - Browse tables and visualize relationships\n3. **Run queries** - Use the Scratchpad to execute SQL queries\n4. **Manage data** - Edit, add, and delete records with ease\n\n📖 **For detailed installation options and configuration**, see our [Documentation](https:\u002F\u002Fdocs.whodb.com\u002F)\n\n---\n\n## 💻 WhoDB CLI\n\nWhoDB also offers a powerful command-line interface with an interactive TUI (Terminal User Interface) and MCP server support for AI assistants.\n\n### Features\n\n- **Interactive TUI** - Full-featured terminal interface for database management\n- **MCP Server** - Model Context Protocol support for Claude, Cursor, and other AI tools\n- **Cross-Platform** - Available for macOS, Linux, and Windows\n\n### Quick Install\n\n```bash\n# macOS\u002FLinux\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fclidey\u002Fwhodb\u002Fmain\u002Fcli\u002Finstall\u002Finstall.sh | bash\n\n# Homebrew (coming soon)\nbrew install whodb-cli\n\n# npm\nnpm install -g @clidey\u002Fwhodb-cli\n```\n\n### Usage\n\n```bash\n# Launch interactive TUI\nwhodb-cli\n\n# Run as MCP server for AI assistants\nwhodb-cli mcp serve\n```\n\n📖 **For full CLI documentation**, see the [CLI README](.\u002Fcli\u002FREADME.md)\n\n---\n\n## 🛠️ Development Setup\n\n### Prerequisites\n\n- **GoLang** - Latest version recommended\n- **PNPM** - For frontend package management\n- **Node.js** - Version 16 or higher\n\n### Editions\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd width=\"50%\">\n\n**Community Edition (CE)**\n- PostgreSQL\n- MySQL \u002F MariaDB\n- SQLite3\n- MongoDB\n- Redis\n- ElasticSearch\n\n\u003C\u002Ftd>\n\u003Ctd width=\"50%\">\n\n**Enterprise Edition (EE)**\n- All CE databases\n- Oracle\n- SQL Server\n- DynamoDB\n- Athena\n- Snowflake\n- Cassandra\n- And more...\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftable>\n\n📚 See [BUILD_AND_RUN.md](.\u002FBUILD_AND_RUN.md) for detailed build instructions and [ARCHITECTURE.md](.\u002FARCHITECTURE.md) for architecture details.\n\n### Frontend Development\n\nNavigate to the `frontend\u002F` directory and start the development server:\n\n```bash\ncd frontend\npnpm i\npnpm start\n```\n\n### Backend Development\n\n#### 1. Build Frontend (First-Time Setup)\n\nIf the `core\u002Fbuild\u002F` directory doesn't exist, build the frontend first:\n\n```bash\ncd frontend\npnpm install\npnpm run build\nrm -rf ..\u002Fcore\u002Fbuild\u002F\ncp -r .\u002Fbuild ..\u002Fcore\u002F\ncd ..\n```\n\n> **Note:** This is only required once, as Go embeds the `build\u002F` folder on startup.\n\n#### 2. Setup AI Integration (Optional)\n\nTo enable natural language queries:\n\n1. **Ollama** - Download from [ollama.com](https:\u002F\u002Follama.com\u002F)\n   ```bash\n   # Install Llama 3.1 8b model\n   ollama pull llama3.1\n   ```\n   WhoDB will auto-detect installed models and show a **Chat** option in the sidebar.\n\n2. **OpenAI\u002FAnthropic** - Set environment variables (see Docker Compose example above)\n3. **Any OpenAI-compatible provider** - Use `WHODB_AI_GENERIC_\u003CID>_*` environment variables to connect to LM Studio, OpenRouter, or any provider with an OpenAI-compatible API (see Docker Compose example above)\n\n#### 3. Start Backend Service\n\n```bash\ncd core\ngo run .\u002Fcmd\u002Fwhodb\n```\n\nThe backend will start on `http:\u002F\u002Flocalhost:8080`\n\n---\n\n## 💼 Use Cases\n\n### 👨‍💻 For Developers\n\n\u003Ctable>\n\u003Ctr>\n\u003Ctd width=\"50%\">\n\n**Local Development**\n- Quick database inspection during development\n- Debug production issues with read-only access\n- Test API endpoints with real data\n- Explore schema changes\n\n\u003C\u002Ftd>\n\u003Ctd width=\"50%\">\n\n**API Development**\n- Validate data transformations\n- Test query performance\n- Generate mock data for testing\n- Export data for integration tests\n\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftable>\n\n### 📊 For Data Analysts\n\n- Run ad-hoc SQL queries quickly\n- Export data to Excel for analysis\n- Build complex filters visually\n- Visualize table relationships\n\n### 🧪 For QA Engineers\n\n- Generate realistic test data\n- Verify database state during testing\n- Debug test failures quickly\n- Validate data migrations\n\n### 🛠️ For Database Administrators\n\n- Monitor table structures and indexes\n- Manage user data efficiently\n- Quick schema exploration\n- Emergency data fixes\n\n---\n\n## ❓ Frequently Asked Questions\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>What makes WhoDB different from other database tools?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr>\n\nWhoDB combines the lightweight nature of tools like Adminer with modern UX, powerful visualizations, and AI capabilities. Unlike resource-heavy tools like DBeaver, WhoDB uses 90% less memory while providing a faster, more intuitive experience.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Is WhoDB suitable for production use?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr>\n\nYes, WhoDB is production-ready and used by thousands of developers. For production environments, we recommend:\n- Using read-only database accounts when possible\n- Enabling SSL\u002FTLS connections\n- Consider Enterprise Edition for audit logging and advanced security features\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>How does WhoDB handle large datasets?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr>\n\nWhoDB implements several performance optimizations:\n- Table virtualization for efficient rendering\n- Lazy loading for large result sets\n- Pagination controls\n- Query result streaming\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Which databases are supported?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr>\n\n**Community Edition:** PostgreSQL, MySQL, MariaDB, SQLite3, MongoDB, Redis, ElasticSearch\n\n**Enterprise Edition:** All CE databases plus Oracle, SQL Server, DynamoDB, Athena, Snowflake, Cassandra, and more\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>How do I deploy WhoDB?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr>\n\nWhoDB can be deployed in multiple ways:\n- **Docker** - Single command deployment\n- **Docker Compose** - For production setups\n- **Kubernetes** - For enterprise environments\n- **Binary** - Direct installation on servers\n\nSee our [Quick Start](#quick-start) section for details.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Does WhoDB store my credentials?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr>\n\nNo. WhoDB does not store database credentials by default. Connections are temporary and credentials are cleared when you close the browser. You can optionally configure connection profiles stored locally in your browser.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Can I use WhoDB with AI features?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr>\n\nYes! WhoDB integrates with:\n- **Ollama** - For local, private AI models\n- **OpenAI** - GPT-4 and other OpenAI models\n- **Anthropic** - Claude models\n- **Any OpenAI-compatible provider** - LM Studio, OpenRouter, vLLM, and more via `WHODB_AI_GENERIC_\u003CID>_*` environment variables\n\nThese integrations allow you to query your database using natural language instead of SQL.\n\n\u003C\u002Fdetails>\n\n## 🤝 Contributing\n\nWe welcome contributions from the community! Whether it's bug reports, feature requests, or code contributions, we appreciate your help in making WhoDB better.\n\n### How to Contribute\n\n1. **Report Issues** - Found a bug? [Open an issue](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fissues)\n2. **Request Features** - Have an idea? [Start a discussion](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fdiscussions)\n3. **Submit PRs** - Want to contribute code? Check our [Contributing Guide](CONTRIBUTING.md)\n4. **Improve Docs** - Help us improve documentation\n\n### Development Resources\n\n- [Contributing Guide](CONTRIBUTING.md) - Detailed contribution guidelines\n- [Architecture](ARCHITECTURE.md) - Understanding the codebase\n- [Build & Run](BUILD_AND_RUN.md) - Development setup instructions\n\n---\n\n## 📸 Screenshots\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>View More Screenshots\u003C\u002Fstrong>\u003C\u002Fsummary>\n\n### Data Management\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F09-data-view-users-table.png\" alt=\"Data View\" width=\"100%\"\u002F>\n\n### Add\u002FEdit Records\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F11-data-view-add-row-dialog.png\" alt=\"Add Row\" width=\"100%\"\u002F>\n\n### Advanced Filtering\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F16-data-view-where-conditions-popover.png\" alt=\"Where Conditions\" width=\"100%\"\u002F>\n\n### Export Options\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F20-data-view-export-dialog.png\" alt=\"Export Dialog\" width=\"100%\"\u002F>\n\n### Schema Graph Visualization\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F25-graph-view-with-controls.png\" alt=\"Graph View\" width=\"100%\"\u002F>\n\n### Scratchpad Query Editor\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F28-scratchpad-code-editor.png\" alt=\"Scratchpad\" width=\"100%\"\u002F>\n\n### Query Results\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F29-scratchpad-query-results.png\" alt=\"Query Results\" width=\"100%\"\u002F>\n\n### Multiple Database Support\n\u003Cimg src=\".\u002Fdocs\u002Fimages\u002F51-login-database-types-all-options.png\" alt=\"Database Types\" width=\"100%\"\u002F>\n\n\u003C\u002Fdetails>\n\n---\n\n## 🏢 Infrastructure & Support\n\nWhoDB's deployment and CI\u002FCD are powered by [Clidey](https:\u002F\u002Fclidey.com), a no-code DevOps platform.\n\n\u003C!-- **Build Status:** [![Build Status](https:\u002F\u002Fhello.clidey.com\u002Fapi\u002Fflows\u002Fstatus?id=b32257fa-1415-4847-a0f3-e684f5f76608&secret=cd74dbd5-36ec-42f9-b4f0-12ce9fcc762b)](https:\u002F\u002Fclidey.com) -->\n\n### Contact & Support\n\n- **Email:** [support@clidey.com](mailto:support@clidey.com)\n- **GitHub Issues:** [Report a bug](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fissues)\n- **Discussions:** [Join the conversation](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fdiscussions)\n- **Documentation:** [docs.whodb.com](https:\u002F\u002Fdocs.whodb.com\u002F)\n\n---\n\n\u003Cdiv align=\"center\">\n\n### ⭐ Star Us on GitHub!\n\nIf you find WhoDB useful, please consider giving us a star on GitHub. It helps us grow the community and continue improving WhoDB.\n\n[![GitHub stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fclidey\u002Fwhodb?style=social)](https:\u002F\u002Fgithub.com\u002Fclidey\u002Fwhodb\u002Fstargazers)\n\n---\n\n**Built with ❤️ by the Clidey team**\n\n*\"Is it magic? Is it sorcery? No, it's just WhoDB!\"*\n\n\u003C\u002Fdiv>\n","WhoDB 是一个轻量级的下一代数据探索工具，支持多种数据库如Postgres、MySQL、SQLite、MongoDB、Redis、MariaDB、Elastic Search和Clickhouse，并提供聊天界面。其核心功能包括快速的数据查询与分析、直观的数据可视化以及通过自然语言处理技术进行交互式查询。项目采用Go语言开发，确保了高性能和低资源占用。此外，WhoDB还提供了跨平台的支持，包括Docker、Windows、macOS、Snap和CLI版本，非常适合需要高效管理和分析多源数据库的开发者或团队使用。","2026-06-11 03:28:38","top_topic"]