What is the difference between venv, pyvenv, pyenv, virtualenv, virtualenvwrapper, pipenv, etc?
There are many different tools that you can use to create isolated Python environments, each with their own benefits and drawbacks. Here is a brief overview of some of the most popular ones:
venvis a built-in Python module that provides support for creating lightweight, isolated Python environments. It is included in Python 3.3 and later versions.
pyvenvis a script that comes with Python 3.3 and later versions, and provides the same functionality as the
pyenvis a third-party tool that allows you to easily install and manage multiple versions of Python on your system. It does not provide support for creating isolated environments, but it can be used in conjunction with
pyenv-virtualenvto achieve this.
virtualenvis a third-party Python package that provides support for creating isolated Python environments. It is a popular choice for working on multiple projects that might require different package versions.
virtualenvwrapperis a set of shell scripts that provide additional functionality on top of
virtualenv. It makes it easier to create and manage multiple virtual environments, and provides some additional features such as the ability to set environment variables for an environment, or to specify which Python interpreter should be used when creating a new environment.
pipenvis a packaging tool for Python that aims to bring the best of all packaging worlds (bundled, required, and development) to the Python world. It automatically creates and manages a virtual environment for your projects, as well as adds/removes packages from your
Pipfileas you install/uninstall packages. It also generates the
Pipfile.lock, which is used to produce deterministic builds.
Here is an example of how you might use the
venv module to create a new isolated Python environment:
python3 -m venv myenv
This will create a new directory called
myenv that contains a self-contained Python installation, as well as a copy of the
pip package manager.
To activate the environment, you can use the following command:
This will modify your shell's environment variables so that the
pip commands refer to the isolated Python installation and package manager. You should see the name of your environment in the command prompt, like this:
To deactivate the environment and return to the global Python installation, you can use the following command:
Here is an example of how you might use
virtualenv to create a new isolated Python environment:
pip install virtualenv
The first command installs the
virtualenv package, and the second command creates a new directory called
myenv that contains a self-contained Python installation,