>Avoid using Poetry for new projects. Poetry predates many standards for Python tooling. This means that it uses non-standard implementations of key features, such as the dependency resolver and configuration formats in pyproject.toml files.
Was going to comment the same thing. Would love to hear the author expand further on why not use Poetry. I've found it to be pretty solid and continue to use Poetry + Pyenv for all my projects, but open to hearing the case for PDM or Hatch.
I've never worked on a team that uses Poetry, but in my current company another team uses it, and I haven't found it really as slick as I would have imagined, primarily because you need to create a venv and install poetry into that before you even get started, which by that point why not just pip install the rest anyway? For standalone applications it just seems like an unnecessary extra step. It doesn't even mandate a build lifecycle like Maven so what are you getting?
But that's not what soured me on Poetry. What soured me was recently I needed to create a release of one of their libraries with a Git commit in the local version identifier and... Poetry doesn't do that. There's an issue that was open on GitHub for years before they finally agreed to implement it, and since February the change is now merged to master, but despite several point releases since then, that change has not landed in any of them. When will we be able to get a local version part? Who knows!
This experience has really made me skeptical of Poetry being the One True Packaging Tool that fixes everything. As usual, it just fixes the things the devs want fixed and everything else is still janky or half implemented. From my perspective, if you're gonna deal with jank anyway, might as well just deal with the standard jank that comes as part of Python itself.
Actually poetry comes with an optional self-installer, though I prefer to manage it with pipx. And it's recommended not to install it into your project env, as there's the potential for conflicting dependency versions.
One thing I saw which was weird as hell was poetry has serious issues with changing windows requirements (specifically removing them) and has a tendency to throw all sorts of fun errors (its method of removing files is not file system friendly.)
As far as I can tell the issue is still open and has been for awhile.
After struggling with the complexity of pyenv and slowness of poetry I'm really happy with rye.
It manages both python versions (which it downloads instead of compiling) and package versions. It's written in rust so it's faster and can replace pipx as well for installing global tools. (Some people will recommend uv which rye is slowly merging with buy uv is still missing some rye features, probably some time in the future you might want to switch).
Aside from all the obvious issues of having no distinction between transitive and direct dependencies, it completely breaks cross-platform support if any of your dependencies have platform-specific sub-dependencies (which is not uncommon in python).
pip freeze was an overly simplified hyperbolic jest...
fair point, so when this packaging mess happens, can one not strike a balance, and define the dependencies that you need, then, and let the resolver handle the rest?
Agree, I'm a poetry person too. I feel like TFA might be getting ahead of itself on this point. Just because something was ratified as a "standard" doesn't immediately make everything prior irrelevant.
Agreed. Most of these are fairly uncontroversial. A few will probably be new to some, particularly because users of Python are heterogenous and people find themselves with years of experience on projects that never upgraded their language version, e.g. from 3.6, and don't know that they're missing.
A final few, even with the explanation given, feels like preference, such as the Poetry opinion. I suppose if I wrote a similar article, it would end up with a similar mix of obvious defaults and a few of my preferences.
It could also be because of different use cases? For example, writing a library for packaging, vs a deployed application, vs a personal projects' workbench. Or perhaps if you are collaborating with people who use Windows without WSL. I have heard tell that Poetry can sometimes trip over its own shoelaces on Windows. I have never experienced it myself, and don't personally care to support any projects involving Windows, but if I did I might have different preferences.
Yeah to me Poetry was a game changer in dependency tooling. Not that better tooling can come about, but it’s recently worked great on multiple production grade projects.
No complaints, and has shoot-in-the-foot safety features
What? This is the first I've heard of this.