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JupyterHub JupyterHub
========== ==========
`JupyterHub`_, a multi-user **Hub**, spawns, manages, and proxies multiple `JupyterHub`_ is the best way to serve `Jupyter notebook`_ for multiple users.
It can be used in a classes of students, a corporate data science group or scientific
research group. It is a multi-user **Hub** that spawns, manages, and proxies multiple
instances of the single-user `Jupyter notebook`_ server. instances of the single-user `Jupyter notebook`_ server.
JupyterHub can be used to serve notebooks to a class of students, a corporate
data science group, or a scientific research group.
.. image:: images/jhub-parts.png To make life easier, JupyterHub have distributions. Be sure to
take a look at them before continuing with the configuration of the broad
original system of `JupyterHub`_. Today, you can find two main cases:
1. If you need a simple case for a small amount of users (0-100) and single server
take a look at
`The Littlest JupyterHub <https://github.com/jupyterhub/the-littlest-jupyterhub>`__ distribution.
2. If you need to allow for even more users, a dynamic amount of servers can be used on a cloud,
take a look at the `Zero to JupyterHub with Kubernetes <https://github.com/jupyterhub/zero-to-jupyterhub-k8s>`__ .
Four subsystems make up JupyterHub:
* a **Hub** (tornado process) that is the heart of JupyterHub
* a **configurable http proxy** (node-http-proxy) that receives the requests from the client's browser
* multiple **single-user Jupyter notebook servers** (Python/IPython/tornado) that are monitored by Spawners
* an **authentication class** that manages how users can access the system
Besides these central pieces, you can add optional configurations through a `config.py` file and manage users kernels on an admin panel. A simplification of the whole system can be seen in the figure below:
.. image:: images/jhub-fluxogram.jpeg
:alt: JupyterHub subsystems :alt: JupyterHub subsystems
:width: 40% :width: 80%
:align: right :align: center
Three subsystems make up JupyterHub:
* a multi-user **Hub** (tornado process)
* a **configurable http proxy** (node-http-proxy)
* multiple **single-user Jupyter notebook servers** (Python/IPython/tornado)
JupyterHub performs the following functions: JupyterHub performs the following functions: