jupyter-server
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
Decision gist · record as of 2026-08-14
Yes—if you are running any Jupyter web application (Notebook, JupyterLab, Voilà) or building one. It's a production-stable, actively maintained dependency with no known vulnerabilities, permissive licensing, and low install friction. Install it directly only if you're building a custom Jupyter-based tool; otherwise it will be pulled in automatically by the frontend you choose.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python>=3.10.
- System dependencies may be needed for terminal support (pywinpty on Windows, terminado on Unix).
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
permissive license (permissive) — BSD 3-Clause License (permissive) allows commercial and private use with attribution and liability disclaimer. No restrictions on derivative works or redistribution.
last release 2026-06-17 (58 days) · last repo commit 2026-08-11 · 567 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 59,222,489 downloads/mo, #510 on PyPI
Alternatives
Verify before relying
pip install jupyter-server
from jupyter_server.services.kernels.manager import MappingKernelManager
jupyter server- Exact scope of REST API endpoints and their stability guarantees across minor versions
- Performance characteristics under concurrent client load or large notebook workloads
- Compatibility matrix with specific versions of Jupyter Notebook, JupyterLab, and Voilà
What it is and what it does
Jupyter Server is the core backend that runs behind Jupyter web applications. It manages kernel lifecycle, handles notebook file I/O, exposes REST APIs for frontend clients, and coordinates terminal sessions and event streams. Rather than being a user-facing application itself, it's the foundation that Jupyter Notebook, JupyterLab, and Voilà build on top of—you typically install it as a dependency of one of those frontends, or directly when building a custom Jupyter-based application.
The package bundles 19 runtime dependencies including tornado for HTTP serving, pyzmq for kernel communication, nbformat for notebook serialization, and terminado for terminal emulation. It's actively maintained by the Jupyter Development Team, follows semantic versioning, and targets modern Python versions (>=3.10). The codebase is production-stable and widely used across the Jupyter ecosystem.
Use it for
- Running Jupyter Notebook or JupyterLab locally or on a remote server for interactive computing
- Building custom web-based notebook applications that need kernel execution and file management
- Deploying Voilà dashboards that require a Jupyter backend for computation
- Integrating notebook execution into larger web applications via the REST API
- Setting up multi-user Jupyter environments with shared kernel and file services
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes—if you are running any Jupyter web application (Notebook, JupyterLab, Voilà) or building one.
It's a production-stable, actively maintained dependency with no known vulnerabilities, permissive licensing, and low install friction. Install it directly only if you're building a custom Jupyter-based tool; otherwise it will be pulled in automatically by the frontend you choose.
Install
jupyter-server on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a release 58 days ago and continuous repository activity. Requires Python>=3.10.
Requires Python>=3.10. System dependencies may be needed for terminal support (pywinpty on Windows, terminado on Unix).
License in practice
BSD 3-Clause License (permissive) allows commercial and private use with attribution and liability disclaimer. No restrictions on derivative works or redistribution.
Quickstart
pip install jupyter-server
from jupyter_server.services.kernels.manager import MappingKernelManager
jupyter serverVerify before relying
- Exact scope of REST API endpoints and their stability guarantees across minor versions
- Performance characteristics under concurrent client load or large notebook workloads
- Compatibility matrix with specific versions of Jupyter Notebook, JupyterLab, and Voilà
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 19 packagesanyioargon2-cffijinja2jupyter-clientjupyter-corejupyter-eventsjupyter-server-terminalsnbconvertnbformatoverridespackagingprometheus-clientpywinptypyzmqsend2trashterminadotornadotraitletswebsocket-client |
| Maintenance | Actively maintained 58 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 59,222,489 / month, #510 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: JupyterIntended Audience :: DevelopersIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: Only |
Evidence: jupyter_server-2.20.0-py3-none-any.whl
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See also voila · notebook · jupyter-events · notebook-shim · ipykernel · jupyter-server-terminals · jupyter-client · jupyter-core · jupyterlab · google-cloud-jupyter-config