---
id: jupyter-collaboration
version: "5.0.0"
license: # Licensing terms This project is licensed under the terms of the Modified BSD License (also known as New or Revised or 3-Clause BSD), as follows: - Copyright (c) 2021-, Jupyter Development Team All… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# jupyter-collaboration — JupyterLab/Jupyter Notebook 7+ Real Time Collaboration extension (metapackage)

License: permissive · Maintenance: active · Downloads: 317.0K/mo

## What it is and what it does

jupyter-collaboration is a metapackage that bundles JupyterLab extensions and a Jupyter Server extension to enable real-time collaborative editing in JupyterLab and Jupyter Notebook 7+. It integrates Y documents (a CRDT-based data structure) to synchronize notebook content across multiple connected clients, and adds UI elements to show who is editing and where.

The package is designed for teams and classrooms where multiple users need to work on the same notebook at the same time. Installation is straightforward—a single pip or conda command—and collaboration features become available immediately within JupyterLab. It depends on jupyter-collaboration-ui, jupyter-docprovider, jupyter-server-ydoc, and jupyterlab itself, all of which are pulled in automatically.

Use it for:

- Pair programming or live code review sessions where two developers edit and debug a notebook together in real time.
- Teaching and mentoring: an instructor and student work on the same notebook during a live session to debug or explore ideas.
- Research collaboration: team members in different locations edit analysis notebooks and see changes propagate instantly.
- Classroom labs: students work on shared assignment notebooks while an instructor monitors and guides the group.
- Data science sprints: multiple analysts explore a dataset in a single notebook without manual merging of changes.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Adds real-time collaborative editing to JupyterLab and Jupyter Notebook 7+, allowing multiple users to work on the same notebook simultaneously with synchronized changes.

Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively. It is the standard way to enable real-time collaboration in JupyterLab. Install it if you need multi-user editing; skip it if you work alone or use external version control for notebooks.

## Install

pip install jupyter-collaboration
uv add jupyter-collaboration
poetry add jupyter-collaboration

## Installing jupyter-collaboration

Before you install: Low friction installation as a pure Python wheel. Actively maintained with a recent release; repository shows steady activity and community engagement with 267 stars.

License in practice: Modified BSD License (3-Clause) is permissive and imposes no restrictions on commercial or private use; you may use, modify, and distribute this package freely provided you retain copyright notices.

Quickstart:

pip install jupyter-collaboration

# Then launch JupyterLab normally; collaboration features are automatically available
jupyter lab

Requires Python 3.10 or later; JupyterLab must be installed and running to use the collaboration UI.

Verify before relying:

- Whether the package requires a backend server or service to coordinate real-time edits between clients.
- How many concurrent users can collaborate on a single notebook before performance degrades.
- Whether offline editing and conflict resolution are supported.

## Package facts

- License: # Licensing terms This project is licensed under the terms of the Modified BSD License (also known as New or Revised or 3-Clause BSD), as follows: - Copyright (c) 2021-, Jupyter Development Team All… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 317.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

jupyter collaborative editing, real-time notebook collaboration, jupyterlab multi-user, jupyter shared workspace, concurrent notebook editing, jupyterlab live sync, jupyter team notebooks, collaboration, jupyter-extension, real-time-sync

[View on SkillFed](https://skillfed.io/packages/jupyter-collaboration) · [View on PyPI](https://pypi.org/project/jupyter-collaboration/)