# Installing Mito in a Docker Container

## Before Installing Mito

Verify that the Docker image is using **Python 3.9** or greater and **JupyterLab 4.1** or greater.

## Installing Mito

Add the following command to your docker file:

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

Then, after you launch this container, you can run a classic Jupyter Notebook or JupyterLab instance and create a mitosheet with the following standard instructions.

### Example

Here is a minimal example of a Dockerfile which you can use to build an image with Mito

```
# Use the official Jupyter minimal notebook as the base image
FROM quay.io/jupyter/minimal-notebook:latest

# Install Python packages
RUN pip install --no-cache-dir mito-ai mitosheet
```

### Best practices

It is a best practice to pin the version of Mito that you are installing in a Docker container, for example

```
RUN pip install --no-cache-dir mito-ai==0.1.52
```

{% content-ref url="/pages/-MSFWSHvT14R-vec2dxe" %}
[Creating a Mitosheet](/how-to/creating-a-mitosheet.md)
{% endcontent-ref %}


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