[boarnoah]

Could someone summarize the issues with Pipenv (and by Extension Poetry). Been using them happily for the last few years, didn't know people disliked them.

With Pipenv, last year ownership switched from the Request's lib owner to the Pypa, so more or less an officially blessed solution.

The only downside on this thread that I could understand so far is that it might be slow to install dependencies on larger projects, can't think of anything else.

[nwatson]

I've been using pipenv happily for a few years now, but on projects that don't have a huge number of dependencies (Django, DRF, MySQL/Postgres, AWS, Kubernetes, a few other random libraries), and haven't seen too much slowness. I suppose data-science projects with large dependencies that pull in many other dependencies might have more issues.

I've been the person to document setting up development environments for others in macOS (and Homebrew) with a view to deploying in Linux, and pipenv (and pyenv, and Docker/docker-compose for setting up software context/datasets) definitely overall minimized the complexity for those configuring their dev environments.

(EDIT: documenting dev enviroments)