Interactive database schema visualization utils for Python notebooks (Jupyter, Marimo)
Project description
db_schema_viz
Installation
pip install db_schema_viz
or with uv:
uv add db_schema_viz
Development
We recommend using uv for development. It will automatically manage virtual environments and dependencies for you.
uv run jupyter lab example.ipynb
Alternatively, create and manage your own virtual environment:
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
jupyter lab example.ipynb
The widget front-end code bundles it's JavaScript dependencies. After setting up Python, make sure to install these dependencies locally:
pnpm install
While developing, you can run the following in a separate terminal to automatically rebuild JavaScript as you make changes:
pnpm run dev
Open notebooks/example.ipynb in JupyterLab, VS Code, or your favorite editor
to start developing. Changes made in web/ will be reflected
in the notebook.
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