Deploying Mito for Streamlit in a Docker Image

A Step-by-step guide to deploying Mito for Streamlit in a Docker Image.

Some of the features listed below are Mito Enterprise features. Upgrade to set Mito Config variables.

Deploying Mito for Streamlit on a Docker Image

By default, Mito writes metadata about each analysis to the ~/.mito folder on any computer/server it is used on.

To deploy Mito for Streamlit on docker, you either need to:

1. Give the docker container permission to write to the folder ~/.mito/

2. Update the MITO_CONFIG_HOME_FOLDER to a folder that the docker container already has write permissions to.

Updating the MITO_CONFIG_HOME_FOLDER

Add the following code to the top of your Streamlit application:

import os
os.environ['MITO_CONFIG_VERSION'] = '2'
os.environ['MITO_CONFIG_HOME_FOLDER'] = '/path/to/folder/you/have/permissions/on'

Note that setting the Mito config is a Mito Enterprise feature.