JupyterHub Description

JupyterHub allows you to create a multi-user hub that spawns, manages and proxies multiple instances the single-user Jupyter notebook servers. JupyterHub was created by Project Jupyter to support many users. The Hub can offer notebook server to a class, a corporate data science group, or a high-performance computing group. JupyterHub does not officially support Windows. JupyterHub may work on Windows if you have a Spawner or Authenticator that works on Windows. However, the default JupyterHub will not. Bugs that are reported on Windows will not get accepted and the test suite won't run on Windows. However, small patches that address minor Windows compatibility issues (such basic installation) may be accepted. We recommend that JupyterHub be run in a Linux VM or docker container for Windows-based systems.

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Integrations

API:
Yes, JupyterHub has an API
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Reviews - 1 Verified Review

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ease
features
design
support
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Company Details

Company:
JupyterHub
Year Founded:
2014
Website:
github.com/jupyterhub/jupyterhub

Media

JupyterHub Screenshot 1
JupyterHub Screenshot 1
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Product Details

Platforms
Linux
Type of Training
Documentation

JupyterHub Features and Options

JupyterHub User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Principal Software Engineer
    Length of product use: Free Trial
    Used How Often?: Monthly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Multiuser support for Jupyter Notebook

    Edited: Aug 12 2022

    Summary: JupyterHub is a great way to make a preset virtual IDE and computing environment available to multiple users, suitable for classroom settings.

    Positive: - allows organizations to give groups of users a preset, online Jupyter Notebook development environment
    - runs in the cloud or on local hardware
    - allows for serving pre-configured images to users, making setup instantaneous for classes, events, etc.
    - supports every major cloud provider
    - Docker support
    - free

    Negative: - documentation could be easier to search, as it's second-class compared to Jupyter Notebook itself

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