jupyter-collaboration
JupyterLab/Jupyter Notebook 7+ Real Time Collaboration extension (metapackage)
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; JupyterLab must be installed and running to use the collaboration UI.
- 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 · maintenance · safety
permissive license (permissive) — 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.
last release 2026-08-03 (11 days) · last repo commit 2026-08-03 · 267 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 316,993 downloads/mo, #7,672 on PyPI
Alternatives
Verify before relying
pip install jupyter-collaboration
# Then launch JupyterLab normally; collaboration features are automatically available
jupyter lab- 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.
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 on this page. Verify before relying on it.
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
jupyter-collaboration on PyPI
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.
Requires Python 3.10 or later; JupyterLab must be installed and running to use the collaboration UI.
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 labVerify 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 | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesjupyter-collaboration-uijupyter-docproviderjupyter-server-ydocjupyterlab |
| Maintenance | Actively maintained 11 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 316,993 / month, #7,672 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: JupyterFramework :: Jupyter :: JupyterLabFramework :: Jupyter :: JupyterLab :: 4Framework :: Jupyter :: JupyterLab :: ExtensionsFramework :: Jupyter :: JupyterLab :: Extensions :: PrebuiltIntended Audience :: DevelopersIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: jupyter_collaboration-5.0.0-py3-none-any.whl
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See also jupyter-collaboration-ui · jupyter-docprovider · jupyterhub · jupyterlab-git · jupyter-server-ydoc · jupyter-ydoc · jupyterlab-chat · jupyter-server-documents · jupyterlab · jupyterlab_notebook_awareness