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jupyterhub 4.1.5

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JupyterHub: A multi-user server for Jupyter notebooks

JupyterHub: A multi-user server for Jupyter notebooks

Stars: 7558, Watchers: 7558, Forks: 1966, Open Issues: 179

The jupyterhub/jupyterhub repo was created 9 years ago and the last code push was 14 hours ago.
The project is extremely popular with a mindblowing 7558 github stars!

How to Install jupyterhub

You can install jupyterhub using pip

pip install jupyterhub

or add it to a project with poetry

poetry add jupyterhub

Package Details

Author
Jupyter Development Team
License
BSD
Homepage
https://jupyter.org
PyPi:
https://pypi.org/project/jupyterhub/
Documentation:
https://jupyterhub.readthedocs.io
GitHub Repo:
https://github.com/jupyterhub/jupyterhub

Classifiers

No  jupyterhub  pypi packages just yet.

Errors

A list of common jupyterhub errors.

Code Examples

Here are some jupyterhub code examples and snippets.

GitHub Issues

The jupyterhub package has 179 open issues on GitHub

  • Apache ReverseProxy not working with Hub 2.0.1 and later.
  • XSRF cookie path is set to '/' when using notebookapp instead of jupyter-server
  • LocalAuthenticator does not detect user password change or new users
  • ci: okay to run docker build test only on changes to Dockerfiles ?
  • Remove not well maintained dockerfiles/Dockerfile.alpine ?
  • No links to access the users notebooks from the Admin menu
  • Login not working for the jupyterhub within iframe
  • Inconsistent behavior around uncomfortable previous variable names [TW: previous version of JH variable names]
  • JupyterHub 2.0.0 doesn't start with jupyter_server but not jupyterlab
  • When is the default 'user' role applied or reapplied?
  • allow user-defined custom scopes
  • Unify the documentation for idle-culler
  • "Start server" on admin page does not allow to "Select an image"
  • Revoke db access from Authenticator, Spawner
  • moving state out of BaseHandler

See more issues on GitHub

Related Packages & Articles

jupyter-server-proxy 4.1.2

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bqplot 0.12.43

Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.