Setting Up a Virtual Environment

Installing Mito in a virtual environment reduces dependency issues and ensures that Mito will not impact any of your other Python projects.

Setting up a virtual environment is dependent on your Python installation method/package manager. Below are several of the most common methods.

Default Python Virtual Environments

Create a new environment:

python -m venv mitoenv

Activate the environment:

• On Windows in command prompt:

mitoenv\Scripts\activate.bat

• On Mac:

source mitoenv/bin/activate

Anaconda Navigator

To install Mito within an Anaconda Navigator virtual environment:

1. Select Environments in the left navigation

2. Select the Create button to create a new environment

3. Give your new environment a descriptive name like Mito

4. Make sure it is configured to use Python >3.8

5. Click create

6. After the environment is created, switch to Home, and select the Mito environment you just created.

7. Select the "▶" icon next to your new environment. Then select "Open terminal".

8. In the terminal, install the Mito Jupyter Lab extensions by running the command:

python -m pip install mitosheet mito-ai

Use Mito

1. Click on the Home button

2. Find the Juptyer Lab tile, make sure it is running JupyterLab ≥ 4.1 and press Launch

3. Then, follow these instructions to create a mitosheet and use AI.

Conda

Installing Mito in a Conda virtual environment

Create a new conda environment:

conda create -n mitoenv python=3.10

Activate your new environment:

conda activate mitoenv