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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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