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UV is super fast and great for environment management, however it's not at all well suited to a containerised environment, unless I'm missing something fundamental (unless you like using an env in your container that is).
And lack of non-local venv support [2].
As an outsider to python, I never got how a language who got popular for being simple, elegant and readable could end up with perhaps the most complex tooling situation (dependencies, envs, etc). Any time I glance at the community there seems to be a new way of doing things. What caused python to go through these issues? Is there any fundamental design flaw ?
This shouldn’t be a surprise to anyone who has been using Python and has tried uv. Python dependency management and environments have been a pain for 15 years. Poetry was nice but slow and sometimes difficult. Uv is lightning fast and damn easy to use. It’s so functional and simple.
for me the surprise is the pace? I’d expect people to be more set in their tools that it takes longer than a few months for a new tool, no matter how good, to become the majority use one. Though perhaps people adopt new tools more easily in CI where install times matter more
Then I gave it a try and it just worked! It’s so much better that I immediately moved all my Python projects to it.
UV is super fast and great for environment management, however it's not at all well suited to a containerised environment, unless I'm missing something fundamental (unless you like using an env in your container that is).
I haven’t really had this issue. UV’s recommendation is to mount the uv.lock and install those manages package versions to the container’s global pip environment. We haven’t had much issue at my work, where we use this to auto-manage python developer’s execution environments at scale.
Source? That's an option, but it's not even explicitly mentioned in the related documentation [1].
As an outsider to python, I never got how a language who got popular for being simple, elegant and readable could end up with perhaps the most complex tooling situation (dependencies, envs, etc). Any time I glance at the community there seems to be a new way of doing things. What caused python to go through these issues? Is there any fundamental design flaw ?
As an outsider to python, I never got how a language who got popular for being simple, elegant and readable could end up with perhaps the most complex tooling situation (dependencies, envs, etc). Any time I glance at the community there seems to be a new way of doing things. What caused python to go through these issues? Is there any fundamental design flaw ?
easy_install never even made it to 1.0
Still, not bad for a bunch of mostly unpaid volunteers.
UV is super fast and great for environment management, however it's not at all well suited to a containerised environment, unless I'm missing something fundamental (unless you like using an env in your container that is).
In my docker files I use `uv sync` to install deps vs `pip install -f requirements.txt`
And then set my command to `uv run my_command.py` vs calling Python directly.
This shouldn’t be a surprise to anyone who has been using Python and has tried uv. Python dependency management and environments have been a pain for 15 years. Poetry was nice but slow and sometimes difficult. Uv is lightning fast and damn easy to use. It’s so functional and simple.
for me the surprise is the pace? I’d expect people to be more set in their tools that it takes longer than a few months for a new tool, no matter how good, to become the majority use one. Though perhaps people adopt new tools more easily in CI where install times matter more
UV is super fast and great for environment management, however it's not at all well suited to a containerised environment, unless I'm missing something fundamental (unless you like using an env in your container that is).
The biggest wins are speed and a dependable lock file. Dependencies get installed ~10x faster than with pip, at least on my machine.
Both of my Docker Compose starter app examples for https://github.com/nickjj/docker-flask-example and https://github.com/nickjj/docker-django-example use uv.
I also wrote about making the switch here: https://nickjanetakis.com/blog/switching-pip-to-uv-in-a-dock...