rerun-notebook 0.20.1

Implementation helper for running rerun-sdk in notebooks

rerun-notebook

Part of the Rerun project.

What?

rerun-notebook is a support package for rerun-sdk's notebook integration. This is an implementation package that shouldn't be directly interacted with. It is typically installed using the notebook extra of rerun-sdk:

pip install "rerun-sdk[notebook]"

Why a separate package?

There are several reasons for this package to be separate from the main rerun-sdk package:

• rerun-notebook includes the JS distribution of the Rerun viewer (~31MiB). Adding it to the main rerun-sdk package would double its file size.
• rerun-notebook uses hatch as package backend, and benefits from the hatch-jupyter-builder plug-in. Since rerun-sdk must use Maturin, it would make the package management more complex.
• Developer experience: building rerun-notebook implies building rerun_js, which is best avoided when iterating on rerun-sdk outside of notebook environments.

Ways to access the widget asset

Even though rerun_notebook ships with the widget asset bundled in, by default it will try to load the asset from https://app.rerun.io. This is because the way anywiget transmits the asset at the moment results in a memory leak of the entire module for each cell execution.

If your network does not allow you to access app.rerun.io, the behavior can be changed by setting the the RERUN_NOTEBOOK_ASSET environment variable before you import rerun_notebook. This variable must be set prior to your import because AnyWidget stores the resource on the widget class instance once at import time.

Inlined asset

Setting:

RERUN_NOTEBOOK_ASSET=inline

Will cause rerun_notebook to directly transmit the inlined asset to the widget over Jupyter comms. This will be the most portable way to use the widget, but is currently known to leak memory and has some performance issues in environments such as Google colab.

Locally served asset

Setting:

RERUN_NOTEBOOK_ASSET=serve-local

Will cause rerun_notebook to launch a thread serving the asset from the local machine during the lifetime of the kernel. This will be the best way to use the widget in a notebook environment when your notebook server is running locally.

Manually hosted asset

Setting:

RERUN_NOTEBOOK_ASSET=https://your-hosted-asset-url.com/widget.js

Will cause rerun_notebook to load the asset from the provided URL. This is the most flexible way to use the widget, but requires you to host the asset yourself.

The rerun_notebook package has a minimal server that can be used to serve the asset nanually by running:

python -m rerun_notebook serve

However, any hosting platform can be used to serve the asset, as long as it is accessible to the notebook and has appropriate CORS headers set. See: asset_server.py for a simple example.

Run from source

Use Pixi:

# install rerun-sdk from source with the "notebook" extra
pixi run -e examples py-build-notebook

# run jupyter
pixi run -e examples jupyter notebook

Development

Create a virtual environment and install rerun-notebook in editable mode with the optional development dependencies:

python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

You then need to install the JavaScript dependencies and run the development server.

npm install
npm run dev

Open example.ipynb in JupyterLab, VS Code, or your favorite editor to start developing. Changes made in js/ will be reflected in the notebook.