jupyter-server

The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.

jupyter-server Permissive license BSD 3-Clause License - Copyright (c) 2001-2015, IPython Development Team - Copyright (c) 2015-, Jupyter Development Team All rights reserved. Redistribution and use in source and binary forms, with… (full text in the JSON record) Active ★ 567 v2.20.0 released 2026-06-17

Install

jupyter-server on PyPI

pip

pip install jupyter-server

uv

uv add jupyter-server

poetry

poetry add jupyter-server

Package facts

License	BSD 3-Clause License - Copyright (c) 2001-2015, IPython Development Team - Copyright (c) 2015-, Jupyter Development Team All rights reserved. Redistribution and use in source and binary forms, with… (full text in the JSON record) (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	19 — anyio, argon2-cffi, jinja2, jupyter-client, jupyter-core, jupyter-events, jupyter-server-terminals, nbconvert, nbformat, overrides, packaging, prometheus-client, pywinpty, pyzmq, send2trash, terminado, tornado, traitlets, websocket-client
Maintenance	actively maintained — 57 days since the last release
Last repo commit	2026-08-11
First released	2018-07-28
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: jupyter_server-2.20.0-py3-none-any.whl

Keywords: ipython, jupyter

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

About jupyter-server

from the package's own PyPI description — quoted content, verbatim

Jupyter Server

Build Status (image) Documentation Status (image)

The Jupyter Server provides the backend (i.e. the core services, APIs, and REST endpoints) for Jupyter web applications like Jupyter notebook, JupyterLab, and Voilà.

For more information, read our documentation here.

Installation and Basic usage

To install the latest release locally, make sure you have pip installed and run:

pip install jupyter_server

Jupyter Server currently supports Python>=3.10 on Linux, OSX and Windows.

Versioning and Branches

If Jupyter Server is a dependency of your project/application, it is important that you pin it to a version that works for your application. Jupyter Server follows semantic...

Read as markdown · JSON record · Source repository · Homepage · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Jupyter Server provides the backend services, APIs, and REST endpoints that power Jupyter web applications like Jupyter Notebook, JupyterLab, and Voilà.

Low friction installation with a pure-Python wheel distribution. Active maintenance with a release 57 days ago; the project is in Production/Stable status with an active repository.

BSD 3-Clause License permits commercial and private use with minimal restrictions; you must retain copyright notices and the license text in distributions.

Usage

pip install jupyter-server
python -m jupyter_server

Requires Python >= 3.10; pywinpty is a Windows-only optional dependency for terminal support.

Verdict: Jupyter Server is a mature, actively maintained core infrastructure package for Jupyter ecosystems. It carries no known vulnerabilities, installs cleanly, and is licensed permissively. Suitable for production use as a dependency or standalone server.

Needs verification

Whether the 19 runtime dependencies (including pyzmq, tornado, nbconvert) introduce any transitive security or compatibility concerns in your deployment context.
Performance characteristics and resource requirements when serving multiple concurrent users or large notebooks.

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