A beginner's guide on effectively managing Python virtual environments using different tools in Python ecosystem.
Popular Python virtual environment management options:
- [1] venv
- [2] virtualenv
- [3] virtualenvwrapper
- [4] pipenv
- [5] poetry
- [6] pyenv-virtualenv
- [7] conda
- [8] hatch
- [9] pdm
- [10] pew
- [11] tox
- [12] nox
- [13] rye
It's glad that the Python ecosystem offers numerous options for managing virtual environments. Yet, for beginners, this abundance may lead to the common question: Which one should I choose? In this section, I aim to share my experience and opinions to guide beginners to make right choices.
None could be more easy than venv, as it is a Python (>=3.3) built-in module, nonthing needs to be installed, just running command python -m venv to use it. If you simply want to create a virtual environment for your Python project, and don't want to install third party packages for this purpose, then go for it with venv.
virtualenv instead is an independent library to create isolated Python environments.
[In progress...]
If you have any question about this opinionated list, do not hesitate to contact me @jgujerry on X (Twitter) or open an issue on GitHub.
This project is released under MIT License