mirror of
https://github.com/jupyterhub/jupyterhub.git
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132 lines
4.6 KiB
Markdown
132 lines
4.6 KiB
Markdown
# Quickstart - Installation
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## Prerequisites
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**Before installing JupyterHub**, you need:
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- [Python](https://www.python.org/downloads/) 3.3 or greater
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An understanding of using [`pip`](https://pip.pypa.io/en/stable/) for
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installing Python packages is recommended.
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- [nodejs/npm](https://www.npmjs.com/)
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[Install nodejs/npm](https://docs.npmjs.com/getting-started/installing-node),
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which is available from your package manager. For example, install on Linux
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(Debian/Ubuntu) using:
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sudo apt-get install npm nodejs-legacy
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(The `nodejs-legacy` package installs the `node` executable and is currently
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required for npm to work on Debian/Ubuntu.)
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- TLS certificate and key for HTTPS communication
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- Domain name
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**Before running the single-user notebook servers** (which may be on the same
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system as the Hub or not):
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- [Jupyter Notebook](https://jupyter.readthedocs.io/en/latest/install.html)
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version 4 or greater
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## Installation
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JupyterHub can be installed with `pip`, and the proxy with `npm`:
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```bash
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npm install -g configurable-http-proxy
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pip3 install jupyterhub
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```
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If you plan to run notebook servers locally, you will need to install the
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Jupyter notebook:
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pip3 install --upgrade notebook
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## Start the Hub server
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To start the Hub server, run the command:
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jupyterhub
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Visit `https://localhost:8000` in your browser, and sign in with your unix
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credentials.
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To allow multiple users to sign into the server, you will need to
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run the `jupyterhub` command as a *privileged user*, such as root.
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The [wiki](https://github.com/jupyterhub/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges)
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describes how to run the server as a *less privileged user*, which requires
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additional configuration of the system.
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----
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## Basic Configuration
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The [getting started document](docs/source/getting-started.md) contains
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detailed information abouts configuring a JupyterHub deployment.
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The JupyterHub **tutorial** provides a video and documentation that explains
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and illustrates the fundamental steps for installation and configuration.
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[Repo](https://github.com/jupyterhub/jupyterhub-tutorial)
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| [Tutorial documentation](http://jupyterhub-tutorial.readthedocs.io/en/latest/)
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#### Generate a default configuration file
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Generate a default config file:
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jupyterhub --generate-config
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#### Customize the configuration, authentication, and process spawning
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Spawn the server on ``10.0.1.2:443`` with **https**:
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jupyterhub --ip 10.0.1.2 --port 443 --ssl-key my_ssl.key --ssl-cert my_ssl.cert
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The authentication and process spawning mechanisms can be replaced,
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which should allow plugging into a variety of authentication or process
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control environments. Some examples, meant as illustration and testing of this
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concept, are:
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- Using GitHub OAuth instead of PAM with [OAuthenticator](https://github.com/jupyterhub/oauthenticator)
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- Spawning single-user servers with Docker, using the [DockerSpawner](https://github.com/jupyterhub/dockerspawner)
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----
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## Alternate Installation using Docker
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A ready to go [docker image for JupyterHub](https://hub.docker.com/r/jupyterhub/jupyterhub/)
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gives a straightforward deployment of JupyterHub.
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*Note: This `jupyterhub/jupyterhub` docker image is only an image for running
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the Hub service itself. It does not provide the other Jupyter components, such
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as Notebook installation, which are needed by the single-user servers.
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To run the single-user servers, which may be on the same system as the Hub or
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not, Jupyter Notebook version 4 or greater must be installed.*
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#### Starting JupyterHub with docker
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The JupyterHub docker image can be started with the following command:
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docker run -d --name jupyterhub jupyterhub/jupyterhub jupyterhub
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This command will create a container named `jupyterhub` that you can
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**stop and resume** with `docker stop/start`.
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The Hub service will be listening on all interfaces at port 8000, which makes
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this a good choice for **testing JupyterHub on your desktop or laptop**.
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If you want to run docker on a computer that has a public IP then you should
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(as in MUST) **secure it with ssl** by adding ssl options to your docker
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configuration or using a ssl enabled proxy.
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[Mounting volumes](https://docs.docker.com/engine/userguide/containers/dockervolumes/)
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will allow you to **store data outside the docker image (host system) so it will be persistent**,
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even when you start a new image.
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The command `docker exec -it jupyterhub bash` will spawn a root shell in your
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docker container. You can **use the root shell to create system users in the container**.
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These accounts will be used for authentication in JupyterHub's default
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configuration.
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