We also recently switched from Pipenv to pip-tools and so far it has been very pleasant. Our workflow: - Use pyenv to manage python versions (mostly works pre

We also recently switched from Pipenv to pip-tools and so far it has been very pleasant. Our workflow: - Use pyenv to manage python versions (mostly works pretty well) - In the beginning, use builtin python 3 tooling to create virtual env for the project: "python3 -m venv venv" - Whenever needed, add new libs to "requirements.in" - Run the "pip-compile" command to generate a new "requirements.txt" with the dependency and its sub-dependencies pinned by default to the exact version - Run "pip install -r requirements.txt" to install the new package and its sub dependencies - Check both requirements.in and requirements.txt into version control The big advantage is that requirements.in specifies just the packages you care about, while requirements.txt has your packages and all of the sub dependencies pinned to the exact version.