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Introducing a New Identity for Prefix.dev
Since 2021 we've used the same identity and the website was mostly consistent, today we are transitioning to a new identity.
Pixi — one package manager for Windows, macOS, and Linux. Fast. Declarative. Reproducible.
To install, run the following command in your terminal:
curl -fsSL https://pixi.sh/install.sh | bash
Or find alternative installation methods in our documentation.
Pixi is up to 10x faster than other tools (such as Conda or Mamba). It is written in Rust and downloads and installs packages in parallel.
Running a Pixi project is very simple, thanks to the integrated task system. Just clone a project, and run `pixi run start` to get going!
Pixi is licensed under the permissive BSD3-License. By default, Pixi uses packages from conda-forge which are free, and contain over 25'000 open source packages to choose from!
We use lockfiles to capture your environment perfectly. You run the same software locally as in the CI or your coworkers machine. No more: works on my machine!
Spin up your data science environment in seconds—complete with Jupyter, pandas, SciPy and more. Reproducible across your team, on any machine (Windows, macOS, Linux).
Use pixi with RoboStack to set up, build, and deploy your ROS/ROS 2 workspaces—on your dev machine, in CI, and directly on your robot.
pixi has first-class support for PyTorch, CUDA, SciKit-Learn, Transformers and more. Set up multiple environments to control what GPU's and optimizations make sense for your project.
Fast Dependency Resolution for Everyone
prefix.dev has helped us provide tooling to manage dependencies at scale with unparalleled speed. It enables us to confidently introduce the latest software into regulated environments and ensure compliance at every step.
It turns out there is a silver bullet for cross-platform dependency management and distribution: Pixi by prefix.dev. Seriously, delete everything else and try it out.
In scientific work, zealous dependency management is required to ensure repeatability. Pixi brings all the benefits of it without the headaches or overhead it often requires, and it's blazing fast on top of it.
I use pixi as my go-to for development environment and project management. It's easy to specify requirements make software that 'just works' and demos as simple as 'git clone && pixi run'.
In scientific work, zealous dependency management is required to ensure repeatability. Pixi brings all the benefits of it without the headaches or overhead it often requires, and it's blazing fast on top of it.
Pixi has made managing build tool dependencies an absolute breeze. We use it daily at Lange Studios for building Godot from source!
It turns out there is a silver bullet for cross-platform dependency management and distribution: Pixi by prefix.dev. Seriously, delete everything else and try it out.
I use pixi as my go-to for development environment and project management. It's easy to specify requirements make software that 'just works' and demos as simple as 'git clone && pixi run'.
Pixi takes everything that's great about conda, and everything that's great about Cargo and combines it into one killer system.
Pixi is a fantastic tool to create reproducible environments for Python and beyond. Scientific computing requires fine version control of both source and binary packages, and Pixi by Prefix.dev offers a complete solution.
In scientific work, zealous dependency management is required to ensure repeatability. Pixi brings all the benefits of it without the headaches or overhead it often requires, and it's blazing fast on top of it.
Pixi has made managing build tool dependencies an absolute breeze. We use it daily at Lange Studios for building Godot from source!
It turns out there is a silver bullet for cross-platform dependency management and distribution: Pixi by prefix.dev. Seriously, delete everything else and try it out.
I use pixi as my go-to for development environment and project management. It's easy to specify requirements make software that 'just works' and demos as simple as 'git clone && pixi run'.
Pixi takes everything that's great about conda, and everything that's great about Cargo and combines it into one killer system.
Pixi is a fantastic tool to create reproducible environments for Python and beyond. Scientific computing requires fine version control of both source and binary packages, and Pixi by Prefix.dev offers a complete solution.
rattler-build enables you to write simple recipes to build complex software into easy-to-install packages.
Rattler is a collection of Rust libraries with Python Bindings that makes it easy to create your tool based on the conda ecosystem. Used in production by pixi itself.
Where we talk about software package and environment management as well as some of the puzzles we solved recently and in the near future.
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Since 2021 we've used the same identity and the website was mostly consistent, today we are transitioning to a new identity.
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Pixi Global can be used for much more than just downloading and exposing CLI tools. In this blog post, we demonstrate two capabilities of pixi global which are core to making it a featureful and powerful system package manager: shortcuts, and (auto-)completions.
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Painless dependency management (including shared libraries), monorepos and CI/CD is here for C++/CMake projects with Pixi.
When we created Prefix.dev, our goal was simple: to solve the challenges developers face every day by providing a seamless, efficient, and intuitive platform. We believe in empowering developers to focus on what matters—building and innovating—while we handle the complexities behind the scenes.
