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--- |
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title: Dash MCP Analytics |
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emoji: 🤖 |
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colorFrom: blue |
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colorTo: purple |
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sdk: docker |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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# Dash MCP - AI-Powered Data Analytics Dashboard |
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🤖 An interactive data analytics dashboard built with Dash and powered by AI assistance. |
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## Features |
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- **Interactive Data Visualization**: Create various chart types (scatter, line, bar, histogram, box, heatmap, pie) |
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- **Built-in Sample Datasets**: Gapminder, Iris, Tips, Stock Data, and Wind Data |
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- **CSV/Excel Upload**: Upload and analyze your own datasets |
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- **AI-Powered Analysis**: Ask questions about your data and get intelligent responses |
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- **Multiple Tabs**: Organized interface for dataset management, AI assistant, visualizations, and data exploration |
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## Quick Start |
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1. Install dependencies: |
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```bash |
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pip install -r requirements.txt |
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``` |
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2. Set up environment variables (optional for enhanced AI features): |
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```bash |
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echo "OPENROUTER_API_KEY=your_key_here" > .env |
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``` |
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3. Run the application: |
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```bash |
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python app.py |
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``` |
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4. Open your browser to `http://localhost:7860` |
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## Tech Stack |
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- **Frontend**: Dash, Plotly, Bootstrap Components |
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- **Backend**: Python, Pandas, NumPy |
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- **AI**: LangChain, OpenRouter API |
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- **Data Processing**: Pandas, Plotly Express |
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## License |
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MIT |
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