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Pixi
Reproducible, cross-platform development environments.
Build your environment. Collaborate. Run anywhere.
We build toolchains for robotics, data science, and more. Build reproducible environments, share packages, and collaborate across Linux, macOS, and Windows.
Trusted by engineers at
Good tools. Built on open source.
Build your environment. Share your work. Find the support you need.
Give your packages a home.
Publish public and private conda packages. Share them with the world, or just your team. Install with Pixi or conda.
Share packages. Build together.
Open-source
Build for all platform, Create Reproducible environments on your laptop and in CI. Or roll your own tooling with our open-source projects today.
rattler-build
Build conda packages from simple, declarative recipes.
rattler
Build custom conda tooling with Rust libraries and Python bindings.
Dev Blog
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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Pixi
Introducing Pixi Build
Can Pixi Build make Pixi even more awesome? Let's find out by reading this blog post!
Julian Hofer
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prefix.dev
Channel Hosting on prefix.dev!
Channel Hosting on prefix.dev is now generally available, giving teams and developers a complete, secure pipeline for managing conda packages.
Wolf Vollprecht
+2 others
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PixiRobotics
Pixi: Modern package management for Robotics
Developing Robots is hard; Pixi makes it easier by creating reproducible, cross-platform ROS development environments without Docker or Ubuntu lock-in.
Ruben Arts
Built for Real Workflows
See how teams use Pixi across industries
Reproducible Environments
Data Science
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).
Watch the talk from PyCon Europe
From Dev Machine to Robot
Robotics
Set up, build, and deploy ROS 1 & 2 workspaces with Pixi and RoboStack - the same environment on your laptop, in CI, and on the robot itself. No Docker required.
GPU-Ready Environments
Machine Learning
PyTorch, CUDA, scikit-learn, and Transformers — resolved correctly the first time. Define separate environments for different GPUs or optimization targets, all in a single project.
Trusted by Default
Supply Chain Security
Publish packages from GitHub Actions without API keys using trusted publishing. Attach Sigstore attestations to every release. We're building security into the conda ecosystem from the ground up.
What Do People Think?
Fast Dependency Resolution for Everyone
Building the Missing Piece Together
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.
