uv vs Pixi

uv—Visit PPixi—Visit

uv #1 in Python Package Managers —/10 Free plan Free plan✓ 1 of 5 features Visit uv

vs

P Pixi #6 in Python Package Managers —/10 Free plan Free plan✓ 5 of 5 features Visit Pixi

• uv fits best

  Modern all-in-one Python project management

• Pixi fits best

  Conda and PyPI projects needing workspaces

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Side by side

Feature	uv —/10 Visit ↗	PPixi —/10 Visit ↗
At a glance
Editor score	—	—
Ranking	#1 in Python Package Managers	#6 in Python Package Managers
Best for	Modern all-in-one Python project management	Conda and PyPI projects needing workspaces
Pricing model	Free	Free
Starting price	Not published	Not published
Free plan	✓	✓
Free trial	—	—
Deployment	Desktop	Desktop
Platforms	Windows, macOS, Linux	Windows, macOS, Linux
Support	Docs	Community, Docs
Integrations	17 integrations	6 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features uv 1/5 · Pixi 5/5
Lockfile support	✓	✓
Environment management	Not published	✓ (best)
Package publishing	Not published	✓ (best)
Private registry	Not published	✓ (best)
Dependency groups	Not published	✓ (best)
Specs
Supported platforms	Not published	Cross-platform
Our review
Pros	Universal lockfiles support consistent resolution across macOS, Linux, and Windows Combines environments, Python versions, workspaces, builds, and publishing Supports private indexes, Git and local dependencies, caching, and offline operation	Reproducible pixi.lock files record exact dependency versions Multiple isolated environments support cross-platform workspaces Conda, PyPI, tasks, tools, and package publishing in one CLI
Cons	Its broad scope may be more than users seeking only pip-compatible installation need Cargo-style workspaces are useful mainly for multi-package repositories Additional architectures and operating systems have separate support tiers	Pixi is distributed as a command-line tool Package-channel hosting is separately priced from Pixi Package publishing workflows are focused on Conda packages
Our verdict	uv is an open-source Python package and project manager from Astral, written in Rust. It is aimed at individual developers and teams that want one tool for dependency resolution, project and virtual-environment management, Python version… Read the review →	Pixi is an open-source package and environment manager for developers working with Python and other languages. It is designed for projects that need isolated environments, reproducible dependency resolution, and consistent configuration… Read the review →

Strengths and trade-offs

• uv — where it wins

  • Universal lockfiles support consistent resolution across macOS, Linux, and Windows
  • Combines environments, Python versions, workspaces, builds, and publishing
  • Supports private indexes, Git and local dependencies, caching, and offline operation

  Where it doesn't

  • Its broad scope may be more than users seeking only pip-compatible installation need
  • Cargo-style workspaces are useful mainly for multi-package repositories
  • Additional architectures and operating systems have separate support tiers

• Pixi — where it wins

  • Reproducible pixi.lock files record exact dependency versions
  • Multiple isolated environments support cross-platform workspaces
  • Conda, PyPI, tasks, tools, and package publishing in one CLI

  Where it doesn't

  • Pixi is distributed as a command-line tool
  • Package-channel hosting is separately priced from Pixi
  • Package publishing workflows are focused on Conda packages

• uv—/10 · Free plan

  An open-source toolkit for managing modern Python projects from dependencies to publishing.

  Visit uvFull verdict →
• PPixi—/10 · Free plan

  An open-source workspace manager for reproducible Conda and PyPI projects.

  Visit PixiFull verdict →