rerun-notebook
Implementation helper for running rerun-sdk in notebooks
Decision gist · record as of 2026-08-14
Yes, if you need notebook visualization support. Install it via the recommended extra rather than directly. It is actively maintained with no known vulnerabilities and adds minimal install friction. The permissive dual license (MIT or Apache-2.0) poses no restrictions. The main consideration is network access: by default it loads assets from app.rerun.io, but alternative asset modes can be configured.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Jupyter/IPython environment; asset loading defaults to https://app.rerun.io unless RERUN_NOTEBOOK_ASSET environment variable is set before import.
- Low friction installation as a pure Python wheel.
- Actively maintained with a recent release 4 days ago.
License · maintenance · safety
MIT OR Apache-2.0 (permissive) — Dual-licensed under MIT or Apache-2.0, both permissive licenses allowing commercial and private use with minimal restrictions.
last release 2026-08-10 (4 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 121,742 downloads/mo, #11,974 on PyPI
Alternatives
Verify before relying
# Install as a dependency (typically via extra)
pip install rerun-notebook
# In a Jupyter notebook:
import rerun_notebook
# Typically used indirectly through anywidget, ipykernel, jupyter-ui-poll integration- Whether the memory leak mentioned for inlined assets has been resolved in version 0.36.0
- Performance characteristics of serve-local asset mode in different notebook environments
- Compatibility with specific Jupyter versions or notebook server configurations
- Whether direct installation is ever necessary versus installation through the recommended extra
What it is and what it does
rerun-notebook is a support package that integrates visualization capabilities into Jupyter notebooks through anywidget. It bundles a WebAssembly-compiled viewer and JavaScript glue code, allowing interactive visualizations of structured data within notebook cells. The package is typically installed indirectly as a dependency rather than used directly.
The package handles asset delivery in multiple modes: by default it loads assets from app.rerun.io, but can be configured via the RERUN_NOTEBOOK_ASSET environment variable to inline assets, serve them locally from a background thread, or load from a custom URL. It depends on anywidget, ipykernel, and jupyter-ui-poll to integrate with the notebook environment.
Use it for
- Visualize structured data logged during exploratory analysis in a Jupyter notebook.
- Build interactive debugging workflows where you log intermediate results and inspect them inline.
- Create shareable notebook reports that include rich, interactive visualizations.
- Prototype data pipelines with live feedback on logged events.
- Serve notebook-based visualizations in restricted network environments by configuring alternative asset modes.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need notebook visualization support.
Install it via the recommended extra rather than directly. It is actively maintained with no known vulnerabilities and adds minimal install friction. The permissive dual license (MIT or Apache-2.0) poses no restrictions. The main consideration is network access: by default it loads assets from app.rerun.io, but alternative asset modes can be configured.
Install
rerun-notebook on PyPI
Before you install
Low friction installation as a pure Python wheel. Actively maintained with a recent release 4 days ago. Designed as a support package typically installed via an extra rather than directly.
Requires Jupyter/IPython environment; asset loading defaults to https://app.rerun.io unless RERUN_NOTEBOOK_ASSET environment variable is set before import.
License in practice
Dual-licensed under MIT or Apache-2.0, both permissive licenses allowing commercial and private use with minimal restrictions.
Quickstart
# Install as a dependency (typically via extra)
pip install rerun-notebook
# In a Jupyter notebook:
import rerun_notebook
# Typically used indirectly through anywidget, ipykernel, jupyter-ui-poll integrationVerify before relying
- Whether the memory leak mentioned for inlined assets has been resolved in version 0.36.0
- Performance characteristics of serve-local asset mode in different notebook environments
- Compatibility with specific Jupyter versions or notebook server configurations
- Whether direct installation is ever necessary versus installation through the recommended extra
Package facts
| License | MIT OR Apache-2.0 permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesanywidgetipykerneljupyter-ui-poll |
| Maintenance | Actively maintained 4 days since the last release |
| First released | |
| Downloads | 121,742 / month, #11,974 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: rerun_notebook-0.36.0-py2.py3-none-any.whl
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See also anywidget · rerun-sdk · py3Dmol · jupyter-leaflet · ipywidgets · itables · jupyter-ui-poll · ipympl · ipytree · plotly