Like many growing startups, our Python backend evolved organically over the years. But with different tools everywhere, unclear dependencies, slow builds, and no clean way to scale, things got a little difficult to manage. Everything changed when we moved our Python ecosystem to @astral_sh's uv workspaces, Docker, and Google Cloud Run. Now, engineering is up to 70% faster, onboarding is a breeze, AI operates reliably and most importantly—we can scale without collapsing under technical debt. We stabilized our foundation so we could keep shipping quickly and reliably. Check out how we did it👇 doppel.com/blog/scaling-pyth…

🐍 The Python Cloud Excited to be working with @astral_sh on integrating their incredible, high-performance Python tooling.

Today, we're announcing our first hosted infrastructure product: pyx, a Python-native package registry. We think of pyx as an optimized backend for uv: it’s a package registry, but it also solves problems that go beyond the scope of a traditional "package registry".

The uv build backend is now stable, and considered ready for production use. An alternative to setuptools, hatchling, etc. for pure Python projects, with a focus on good defaults, user-friendly error messages, and performance. When used with uv, it's 10-35x faster.

You can now install the latest Python 3.14 alpha with uv

Huge news: initial uv support just landed in IntelliJ's main branch 👀

uv—you've probably heard of it, but are you using it for... pretty much everything? Save time and speedup your workflows (in under 10 minutes) in my latest video. 00:00 - Introduction to uv 00:38 - Installing Python versions with uv 01:14 - Project initialization and setup 02:31 - Creating virtual environments 03:35 - Package management with uv 06:12 - Running Python projects with uv

If a package fails to build during resolution or installation, uv will now tell you _why_ that package was included in the first place. I think this is such a cool error-message improvement.

Powered by uv.

I went on @pybites to talk about Ruff, uv, open source, and more. piped.video/watch?v=byynvdS_…

Pumped to add a few new commitments to the Astral OSS Fund for Q4: 1. @brettsky (Python standards, especially the lockfile PEP right now!) 2. @djco (rustls et al) 3. @Ofekmeister (Python packaging) 4. @PredragGruevski (cargo-semver-checks) 5. Arpad Borsos (rust-cache)

Today, we're shipping a series of features that move uv beyond a pip alternative, and into an end-to-end solution for managing Python projects, command-line tools, single-file scripts, and even Python itself. A single, unified tool. Like Cargo, for Python. It's very fast.

A Ruff (@astral_sh) extension is now available in the extensions store. To install the Ruff, open the command palette, search for `zed: extensions`, and then type "Ruff" in the extensions view search bar. See the release notes for more details on configuration and usage.

Astral is starting a fund to support open source projects and maintainers 💝 Thank you @astral_sh for your support of open source, the PSF, and the #python community, especially @pypi and CPython!

Announcing the Astral OSS Fund. We're giving > $3,000 per Astral team member per year to open source projects, maintainers, and foundations, inspired by @getsentry's OSS Pledge. astral.sh/blog/astral-oss-fu…

uv v0.1.32 is out now. github.com/astral-sh/uv/rele…

It's @carljm week! Welcome to Astral! 🚀🚀🚀 Carl joins us from Meta / Instagram where he worked on the Cinder JIT compiler among so much else. I was a big fan of his work from afar and that admiration only grew after getting to know him. Thrilled he's now a coworker :)

Ruff v0.3.0 is out now, and includes the stable release of the Ruff formatter. astral.sh/blog/ruff-v0.3.0