# Installing Mito in JupyterHub

Adding Mito to your JupyterHub user servers is a great way to enable your users to take advantage of AI and Spreadsheet features that Mito provides

JupyterHub uses many different spawners and installation instructions will depend on the chosen spawner. Here we provide the instructions for most common cases. 

{% hint style="warning" %}
Your custom JupyterHub use case not covered below? Reach out to <jake@sagacollab.com> to get help
{% endhint %}

## Container-based Servers

If you use a container to run your user servers, add installation command somewhere in your Docker file.

```
RUN pip install --no-cache-dir mito-ai mitosheet
```

Common scenarios for this are:

* Docker with [DockerSpawner](https://github.com/jupyterhub/dockerspawner)
* K8s with [KubeSpawner](https://github.com/jupyterhub/kubespawner)
* Z2JH distribution — see instructions [here](https://z2jh.jupyter.org/en/stable/jupyterhub/customizing/user-environment.html#customize-an-existing-docker-image)

## The Littlest JupyterHub (TLJH)

In line with the official [guide](https://tljh.jupyter.org/en/latest/howto/user-env/user-environment.html#installing-pip-packages), run the following command

```
sudo -E pip install mito-ai mitosheet
```


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```
GET https://docs.trymito.io/getting-started/installing-mito/installing-mito-in-jupyterhub.md?ask=<question>
```

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