Poetry Vs Pipenv Reddit, Dependency resolution can take significant time, especially in I like poetry for django apps that might grow. > Pipenv or poetry? If you used pipenv for a complex project with huge dependency tree, or used it for a long time, you definitely run into a blocker issue with it. x, and pip-tools across 15 production projects, I’ve reached a devastating conclusion: none of these tools actually solve Python’s dependency management Recently, I've been able to try out both Pipenv and Poetry for some projects of mine. They also help you manage your dependencies better than plain old pip and a requirements. In python world, pip and virtualenv are pretty Picture this: you’re standing in the Python packaging aisle, staring at two shiny tools that promise to organize your dependencies better than Marie Kondo organizes sock drawers. It's now my go-to method for creating and managing virtual environments. Poetry v1. I feel like I've given both a try, and I prefer Poetry over Pipenv. I had the case this year with label-studio-converter one of the repo of the excellent label-studio Dependency locking is This was one of the reasons why we moved from pipenv (another lib that uses pip) to poetry. 8, Pipenv 2024.