An agent framework built on Claude SDK for data analysis, visualization, and ML automation
Project description
🌠Deep Data
An agent framework built on Claude SDK for data analysis, visualization, and ML automation.
https://github.com/user-attachments/assets/facf50b3-5d07-4003-9c63-3cb01925784f
Features
-
Agent - Coding agent with Visualization State API (IVG) for interactive chart creation and verification
-
Deep Plot - Autonomous data analysis agent with iterative exploration and explanation
-
MLE - MCTS-based ML solution search with parallel workers (isolated in Git worktrees)
Requirements
- Python: 3.10+
- Claude API: Via Claude Code CLI
Installation
pip install claude-deepdata
With ML dependencies (for MLE feature):
pip install claude-deepdata[ml]
Quick Start
# Start web server
deepdata
# With custom port
deepdata --port 8080
# Set working directory
deepdata --cwd /path/to/project
Visit http://localhost:8000 for the Web UI.
Development Setup
For contributors who want to modify the code:
# Clone the repository
git clone https://github.com/YiyangLu/Deep-Data.git
cd Deep-Data
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install in editable mode with dev dependencies
pip install -e ".[dev,ml]"
# Build frontend (requires Node.js 18+)
cd deepdata/web/frontend
npm install
npm run build
cd ../../..
# Run the server
deepdata
Paper
Our paper describing the IVG framework benchmark is coming soon on arXiv.
Project details
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