Installing Mito in a Docker Container

Step by step instructions for installing Mito with a Docker file.

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

Creating a Mitosheet