jupyter_live_content

A JupyterLab extension that keeps open documents in sync with their file on disk. When a file changes on disk while you have it open — for example, an AI agent or another process rewrites it — this extension reloads the document in the browser so what you see stays current, without requiring real-time collaboration (RTC).

This extension is composed of a Python package named jupyter_live_content for the server extension and a NPM package named @jupyter-ai-contrib/live-content for the frontend extension.

How it works

The server extension watches the content directory for filesystem changes and notifies the browser over a WebSocket when a file you have open changes. The frontend then reloads that document from disk (context.revert()), but only for documents where a whole-file reload is safe.

Reloading is deliberately conservative. It is applied only to documents whose view is a pure function of the file's bytes, so a reload cannot destroy in-memory state. This is an allowlist: any document type not listed below is left untouched rather than reloaded.

What gets updated

Real-time collaboration (RTC)

If an RTC provider (jupyter_server_ydoc / Jupyter Collaboration, or jupyter_server_documents) is installed and enabled, RTC already keeps open documents in sync, so this extension disables itself entirely: the server does not watch the filesystem or open a WebSocket, and the frontend does not connect. If a provider is installed but disabled (via jupyter server extension disable or the disable_rtc trait), this extension stays active.

Future work

• Notebooks. Reliably reconciling an out-of-band notebook edit with live in-memory state (so a benign change to one cell doesn't blow away work in another) is unsolved. See the discussion in #2 and #5.
• More viewer types. Other read-only viewers (CSV/TSV, etc.) could be added to the allowlist as their reload behavior is validated.
• PDFs. JupyterLab 4 ships no built-in PDF document-widget viewer, so there is currently no PDF surface to update; a custom viewer would need to opt in.

Requirements

• JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install jupyter_live_content

Uninstall

To remove the extension, execute:

pip uninstall jupyter_live_content

Troubleshoot

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter server extension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list

Contributing

If you would like to contribute to this extension, please refer to the Contributing Guide.