7 items tagged “rye”
2024
There is an elephant in the room which is that Astral is a VC funded company. What does that mean for the future of these tools? Here is my take on this: for the community having someone pour money into it can create some challenges. For the PSF and the core Python project this is something that should be considered. However having seen the code and what uv is doing, even in the worst possible future this is a very forkable and maintainable thing. I believe that even in case Astral shuts down or were to do something incredibly dodgy licensing wise, the community would be better off than before uv existed.
uv: Unified Python packaging (via) Huge new release from the Astral team today. uv 0.3.0 adds a bewildering array of new features, as part of their attempt to build "Cargo, for Python".
It's going to take a while to fully absorb all of this. Some of the key new features are:
uv tool run cowsay, aliased touvx cowsay- a pipx alternative that runs a tool in its own dedicated virtual environment (tucked away in~/Library/Caches/uv), installing it if it's not present. It has a neat--withoption for installing extras - I tried that just now withuvx --with datasette-cluster-map datasetteand it ran Datasette with thedatasette-cluster-mapplugin installed.- Project management, as an alternative to tools like Poetry and PDM.
uv initcreates apyproject.tomlfile in the current directory,uv add sqlite-utilsthen creates and activates a.venvvirtual environment, adds the package to thatpyproject.tomland adds all of its dependencies to a newuv.lockfile (like this one). Thatuv.lockis described as a universal or cross-platform lockfile that can support locking dependencies for multiple platforms. - Single-file script execution using
uv run myscript.py, where those scripts can define their own dependencies using PEP 723 inline metadata. These dependencies are listed in a specially formatted comment and will be installed into a virtual environment before the script is executed. - Python version management similar to pyenv. The new
uv python listcommand lists all Python versions available on your system (including detecting various system and Homebrew installations), anduv python install 3.13can then install a uv-managed Python using Gregory Szorc's invaluable python-build-standalone releases.
It's all accompanied by new and very thorough documentation.
The paint isn't even dry on this stuff - it's only been out for a few hours - but this feels very promising to me. The idea that you can install uv (a single Rust binary) and then start running all of these commands to manage Python installations and their dependencies is very appealing.
If you’re wondering about the relationship between this and Rye - another project that Astral adopted solving a subset of these problems - this forum thread clarifies that they intend to continue maintaining Rye but are eager for uv to work as a full replacement.
uv: Python packaging in Rust (via) "uv is an extremely fast Python package installer and resolver, written in Rust, and designed as a drop-in replacement for pip and pip-tools workflows."
From Charlie Marsh and Astral, the team behind Ruff, who describe it as a milestone in their pursuit of a "Cargo for Python".
Also in this announcement: Astral are taking over stewardship of Armin Ronacher's Rye packaging tool, another Rust project.
uv is reported to be 8-10x faster than regular pip, increasing to 80-115x faster with a warm global module cache thanks to copy-on-write and hard links on supported filesystems - which saves on disk space too.
It also has a --resolution=lowest option for installing the lowest available version of dependencies - extremely useful for testing, I've been wanting this for my own projects for a while.
Also included: uv venv - a fast tool for creating new virtual environments with no dependency on Python itself.
Rye: Added support for marking virtualenvs ignored for cloud sync (via) A neat feature in the new Rye 0.22.0 release. It works by using an xattr Rust crate to set the attributes “com.dropbox.ignored” and “com.apple.fileprovider.ignore#P” on the folder.
Rye lets you get from no Python on a computer to a fully functioning Python project in under a minute with linting, formatting and everything in place.
[...] Because it was demonstrably designed to avoid interference with any pre-existing Python configurations, Rye allows for a smooth and gradual integration and the emotional barrier of picking it up even for people who use other tools was shown to be low.
2023
Weeknotes: Miscellaneous research into Rye, ChatGPT Code Interpreter and openai-to-sqlite
I gave myself some time off stressing about my core responsibilities this week after PyCon, which meant allowing myself to be distracted by some miscellaneous research projects.
[... 891 words]Rye.
Armin Ronacher's take on a Python packaging tool. There are a lot of interesting ideas in this one - it's written in Rust, configured using pyproject.toml and has some very strong opinions, including completely hiding pip from view and insisting you use rye add package instead. Notably, it doesn't use the system Python at all: instead, it downloads a pre-compiled standalone Python from Gregory Szorc's python-build-standalone project - the same approach I used for the Datasette Desktop Electron app.
Armin warns that this is just an exploration, with no guarantees of future maintenance - and even has an issue open titled Should Rye exist?