AutoDash

Your AI Data Artist

AutoDash transforms raw data into beautiful, interactive visualizations in three simple steps.
No code. No complexity. Just insights.

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Features

Instant Upload Upload CSV, Excel, or use sample datasets. Support for large files with automatic parsing and validation.	Natural Language Describe your insights in plain English. Our AI understands what you're looking for and generates the perfect visualization.	Real-time Updates Iteratively refine your charts with feedback. Changes appear instantly as our backend generates new Plotly configurations.
Smart Analytics Automatic correlation detection, trend analysis, and anomaly identification powered by backend intelligence.	Plotly-Powered Beautiful, interactive charts built with Plotly. Hover, zoom, pan, and explore your data like never before.	Collaborative Share dashboards, export visualizations, and collaborate with your team in real-time.

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How It Works

Building visuals is as easy as 1, 2, 3

From raw data to actionable insights in minutes. No technical skills required.

01. Connect Your Data

Start by uploading your dataset or choose from our sample data library.

• Supports CSV, Excel (.xlsx, .xls)
• Drag & drop or click to browse
• Automatic data type detection
• Sample datasets to get started instantly

02. Describe Your Insights

Tell us what you want to discover in plain language.

• Natural language processing understands your intent
• Examples: "Show sales trends", "Compare regions"
• AI suggests relevant chart types
• Context-aware recommendations

03. Visualize & Refine

Get instant visualizations and iterate with real-time feedback.

• Plotly-powered interactive charts
• Request changes in plain English
• Real-time updates from backend
• Export and share your dashboards

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Beautiful Plotly-powered Visualizations

Interactive charts that bring your data to life

• Trend Analysis - Line charts, area charts, time series
• Comparisons - Bar charts, grouped bars, stacked bars
• Distributions - Histograms, box plots, violin plots
• Relationships - Scatter plots, bubble charts, correlation matrices
• Hierarchies - Treemaps, sunburst charts, dendrograms
• Networks - Sankey diagrams, chord diagrams, force layouts

Visualization Features

• Hover tooltips - Detailed information on hover
• Zoom & pan - Explore large datasets interactively
• Fully interactive - Click, filter, sort, and drill down
• Responsive design - Beautiful on any screen size

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Why AutoDash?

No Code Required Built for everyone—from analysts to executives. If you can describe it, AutoDash can visualize it.

Lightning Fast Go from upload to insight in under 60 seconds. Our backend handles all the heavy lifting.

Enterprise Ready Secure, scalable, and built with production workloads in mind. Connect to any database.

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Tech Stack

Frontend

• React + TypeScript - Modern, type-safe UI
• Plotly.js - Powerful data visualization library
• Vite - Lightning-fast build tool

Backend

• FastAPI - High-performance Python API
• DSPy - AI-powered visualization generation
• SQLAlchemy - Database ORM
• Pandas - Data processing and analysis

AI & Intelligence

• Natural Language Processing - Understand user intent
• Code Generation - Automatic Plotly spec creation
• Error Recovery - Self-healing visualizations
• Context-Aware - Smart recommendations based on data

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Installation

Prerequisites

• Node.js 18+ and npm
• Python 3.9+
• Git

Clone the Repository

git clone https://github.com/yourusername/autodash.git
cd autodash

Backend Setup

cd backend
pip install -r requirements.txt

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys (OpenAI, Google OAuth, etc.)

# Run the backend
python -m app.main

The backend will start on http://localhost:8000

Frontend Setup

cd frontend
npm install

# Run the development server
npm run dev

The frontend will start on http://localhost:5173

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Usage

1. Start the Application

   • Navigate to http://localhost:5173
   • Sign in with Google

2. Upload Your Data

   • Click "Upload Dataset" or drag & drop a CSV/Excel file
   • Preview your data to ensure it loaded correctly

3. Ask for Insights

   • Type your question in plain English
   • Examples:
     • "Show me a histogram of prices"
     • "Create a scatter plot of sqft_living vs price"
     • "Compare sales trends by region"

4. Refine & Export

   • Request changes: "Make the bars blue" or "Add a trend line"
   • Download your visualization as PNG, SVG, or PDF
   • Share your dashboard with your team

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Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Workflow

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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License

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

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Acknowledgments

• Plotly - For the incredible visualization library
• FastAPI - For the blazing-fast Python framework
• DSPy - For AI-powered code generation
• Open Source Community - For inspiration and support

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Ready to transform your data?

Join thousands of teams using AutoDash to make data-driven decisions faster.

Star on GitHub • Get Started • Report Bug • Request Feature

_{Built with ❤️ by FireBird Technologies}