pyobservablejs

pyobservablejs brings reactive Observable notebooks to Python. Build cells, charts, and browser inputs, or import an existing notebook. Display the whole notebook or selected cells in JupyterLab, marimo, VS Code, Colab, and other anywidget hosts.

Try it in your browser · Quickstart · Examples · API reference

Start

Install in a Python 3.11 through 3.14 notebook environment:

pip install pyobservablejs

Create an input and a result that updates when it changes:

import observablejs as obs

notebook = obs.Notebook(
    obs.ojs(
        "viewof threshold = Inputs.range([0, 1], {value: 0.5, step: 0.1})",
        key="control",
    ),
    obs.js(
        "const doubled = threshold * 2; display(md`Doubled: **${doubled}**`);",
        key="result",
    ),
)
view = notebook.view()
view

Cells run in the browser through Notebook Kit. Its Inputs library loads from the network. Use notebook and module sources you trust, since their JavaScript runs in the host page.

Experimental: the API may change between releases.

Build on it

• Compose views. notebook.view("result") displays the result and evaluates its dependencies. Select and arrange cells.
• Connect Python. notebook.update_variables({"threshold": 0.8}) updates mounted views. Read named results through view.state. Send values and read results.
• Bring notebooks and data. Load Notebook Kit HTML, public ObservableHQ notebooks, local files, and JavaScript modules. Create and import notebooks.
• Inspect and extract. Browse cells, imports, attachments, and dependencies. Read datasets as Arrow or projected rows. Inspect notebook data.
• Work with agents. The installed package carries instructions that match its API. Read the packaged skill or the documentation map.

Documentation · Troubleshooting · Contributing · MIT license

Built on Observable's Notebook Kit and anywidget. pyobsplot informed the Python variable API.