@prefix_dev

We're building the fast, deterministic and reproducible package manager Pixi for scientific and robotics workflows. Based on @condaforge & @robostack packages.

Berlin
Joined October 2022
The Pixi team is at ROSCON in Toronto - come find the yellow backpacks if you want to chat! We keep spotting Pixi in so many cool robotics projects and it's making us proud. To get a glimpse of what we're working on, join the talk about the EU CRA this afternoon!
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NVIDIA Isaac ROS 5.0 brings AI agents to robotics development. 🤖 Announced at #ROSCon, the release adds agentic workflows, Isaac Skills, ROS 2 Lyrical support, GPU-accelerated libraries and NVIDIA Jetson support from Orin Nano to Thor. Open source and available now 📖 nvda.ws/3VahoaA
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If you see one of these people #ROSCON, they are likely from prefix.dev! Come say hi, we're friendly! 💛 @OpenRoboticsOrg
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We made it easy to install Isaac ROS! The new `isaac-forge` repository contains many upstream NVIDIA Isaac ROS packages to make them installable with Pixi. You can test it today on your #NIVIDA #Jetson! No docker needed! github.com/wolfv/isaac-forge
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Congratulations to the Mojo 1.0 release @Modular! So glad to have you in our community, and seeing @clattner_llvm on stage with `pixi` in the background was definitely a highlight for us.
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playground.rattler.build got a redesign and a recipe generator for PyPI, CRAN and CPAN. Paste a package name, get a recipe.yaml back.
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pixi update --offline now resolves against only what you already have: the package cache and local file:// channels. Air-gapped machines, planes, CI without egress.
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Pixi now fully supports archspec, so you can create CPU-optimized environments and let Pixi handle the installation logic. Read more about it in the blogpost we updated: prefix.dev/blog/building_cpu…
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Use pixi global to install any project from source now. Pixi global supports the full package spec to configure the neccesary information to install it directly, without a pixi.toml.
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Building a git repo that never heard of Pixi used to mean forking it. Now you declare the build backend inline and Pixi builds it from source.
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Conda packages can have extras now. Optional dependency groups you declare and then consume, via v3 repodata. Plus when conditions and variant flags. This should also be available on conda-forge in the near future! 📖 : pixi.prefix.dev/latest/conce…
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Using an NVIDIA Jetson, BTW #pytorch #nvidia #jetson
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No more gpu and cpu environments, let pixi choose the right platform for you! [system-requirements] is deprecated. Platforms now carry the requirements themselves. CUDA and glibc constraints inline, and you can name a target what you actually call it.
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Lastly, I'm a contributor to the `pixi-build-mojo` backend, which is what @prefix_dev can use to build Mojo projects: pixi.prefix.dev/latest/build… And allows you to install dependencies directly from GitHub, which is really cool!
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PEP 723 only covers Python and PyPI, so Pixi reads tool.pixi for the rest. Which means conda dependencies in a standalone script.
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A single Python file can now carry its own environment. pixi run --script hello.py Pixi reads PEP 723 inline metadata. peps.python.org/pep-0723/ Thanks to @trevmanz #python #pixi
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