DuckHug

Query Hugging Face datasets directly from Streamlit using DuckDB's powerful SQL engine.

Features

Dataset Management

• 🔍 Browse and search Hugging Face datasets
• ✏️ Manually add custom dataset paths
• 👀 Preview datasets with up to 100 rows

Query Capabilities

• 📊 Automatic column detection
• 🔧 Custom SQL query support
• 💪 Efficient data handling with DuckDB

User Experience

• 🌟 Modern Streamlit-based UI
• 🔗 Direct links to Hugging Face dataset pages

Live app

https://duckhug.streamlit.app/

Run locally

1. Clone to a folder git clone https://github.com/g-kannan/DuckHug.git
2. Install dependencies: pip install -r requirements.txt
3. Add your Hugging face API token to .env file(Only for fetching data sets, manual dataset will work without it)
4. Run the app: streamlit run home.py
5. Start exploring datasets!

Credits

• Powered by DuckDB: Star on GitHub
• Logo created using FLUX.1-dev
• Built with ❤️ for the data community

Support

Found an issue or have suggestions? Open an issue If you find this useful, please give us a star on GitHub!