python uv dockerfile example

1 week ago - See a complete example in the uv-docker-example project. Compiling Python source files to bytecode is typically desirable for production images as it tends to improve startup time (at the cost of increased installation time and image size). To enable bytecode compilation, use the --compile-bytecode flag: ... Alternatively, you can set the UV_COMPILE_BYTECODE environment variable to ensure that all commands within the Dockerfile ...

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r/Python on Reddit: Best practices for using Python & uv inside Docker

October 11, 2025 -

Getting uv right inside Docker is a bit tricky and even their official recommendations are not optimal.

It is better to use a two-step build process to eliminate uv from the final image size.

A two-step build process not only saves disk space but also reduces attack surface against security vulerabilities

Top answer

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174

You’re skipping past the first solution they offer, which is the more efficient distroless solution. You can literally just copy the standalone uv binary directly into your image; you don’t need to base your entire image on theirs. COPY --from=ghcr.io/astral-sh/uv:0.9.2 /uv /bin/ This takes ~43MiB, not the 77MiB you cite.

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The linked security issue is a bad example. If an attacker can use uv in your container, they could also download and run whatever executable they want and do not need to exploit bugs in uv for that. With very few exceptions, CVEs in unused executables in containers are almost never an issue, because if the attacker already has shell access to be able to use them, they won't gain anything from exploiting those bugs.

Discussions

Adding Python to Docker in 2 seconds using uv's Python command

Hmm this is interesting. I'm wondering if it's worth migrating from poetry to uv for our package management. We also use docker to containerize images for CI/docker compose local stacks. More on reddit.com

r/Python

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Announcing uv: Python packaging in Rust

no fucking way now do a drop-in replacement for mypy as well, and my entire python toolkit will be handled by the same party pkg mgmt + lint + format + type checks More on reddit.com

r/Python

168

577

February 15, 2024

How do I manage a monorepo with multiple subprograms, each of which needs its own docker image?

At first I tried the uv package manager which has a workspace feature, but it is not possible to have separate docker images (as far as I've understand it) because you have one single lock file. There's nothing about having a single lockfile that prevents you from having mulitple dockerfiles. let's pretend we have this: monorepo ├── subproject1 │ ├── file1.py │ ├── file2.py │ ├── Dockerfile │ └── pyproject.toml ├── subproject2 │ ├── file1.py │ ├── file2.py │ ├── Dockerfile │ └── pyproject.toml └── pyproject.toml └── uv.lock You can still build each dockerfile with the uv.lock file, you just need to execute the dockerfiles from the context of monorepo eg docker build -t exampletag -f ./subproject<1|2>/Dockerfile .. now the dockerfile will have access to the monorepo's uv.lock file as well as all the contents of every subfolder. You will need to path everything in the dockerfile as if it was in the parent folder though. That's the only downside to this. Alternatively you can copy the uv.lock into the subfolders as part of some sort of pipeline job. Another option is to use build contexts . though depending on the docker pipeline this may add additional unwanted complexity if you don't wanna do multi-stage pipelines There may be some nuances I'm missing since I don't use uv or work on a monorepo with python but that should be the gist of it More on reddit.com

r/learnpython

November 5, 2024

uv with django and docker?

They have a guide on how to use uv with docker: Docker | uv (astral.sh) You can do a single build or multi-build. I use a multi-build and you don't have to actually install uv into docker like you do with the single build. Their demo is for fastapi but it's the same concept. More on reddit.com

r/django

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