Installation — Werkzeug Documentation (3.1.x)

# Installation

## Python Version

We recommend using the latest version of Python. Werkzeug supports Python 3.9 and newer.

### Optional dependencies

These distributions will not be installed automatically. Werkzeug will detect and use them if you install them.

- Colorama provides request log highlighting when using the development server on Windows. This works automatically on other systems.

- Watchdog provides a faster, more efficient reloader for the development server.

### greenlet

You may choose to use gevent or eventlet with your application. In this case, greenlet>=1.0 is required. When using PyPy, PyPy>=7.3.7 is required.

These are not minimum supported versions, they only indicate the first versions that added necessary features. You should use the latest versions of each.

## Virtual environments

Use a virtual environment to manage the dependencies for your project, both in development and in production.

What problem does a virtual environment solve? The more Python projects you have, the more likely it is that you need to work with different versions of Python libraries, or even Python itself. Newer versions of libraries for one project can break compatibility in another project.

Virtual environments are independent groups of Python libraries, one for each project. Packages installed for one project will not affect other projects or the operating system’s packages.

Python comes bundled with the `venv` module to create virtual environments.

### Create an environment

Create a project folder and a `venv` folder within:

    mkdir myproject
    cd myproject
    python3 -m venv venv

On Windows:

    py -3 -m venv venv

### Activate the environment

Before you work on your project, activate the corresponding environment:

    . venv/bin/activate

On Windows:

    venv\Scripts\activate

Your shell prompt will change to show the name of the activated environment.

## Install Werkzeug

Within the activated environment, use the following command to install Werkzeug:

    pip install Werkzeug