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DuckHug

DuckHug Logo

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

Support

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