uv vs Poetry
Side-by-side — pricing, strengths, tradeoffs, and fit.
uv
An extremely fast Python package and project manager written in Rust.
Poetry
Python dependency management and packaging made easy.
At a glance
Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0
Overview
One-liner
One-liner
An extremely fast Python package and project manager written in Rust.
One-liner
Python dependency management and packaging made easy.
Maturity
Maturity
EstablishedMaturity
EstablishedOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Python developers who need a faster, more efficient way to manage packages and projects
Developers working on performance-critical applications where every millisecond counts
Teams that require robust dependency resolution in their Python projects
✓ Best for
Developers working on Python projects who need a streamlined dependency management solution.
Teams that require consistent and reproducible builds across different platforms.
Not ideal for
✕ Not for
Projects requiring extensive customization of package management workflows beyond what uv offers
Users looking for a cloud-based service or platform, as uv is purely local and self-hosted
✕ Not for
Projects requiring complex, non-Python-specific build processes
Users looking for cloud-based dependency management services
Strengths
↑ Strengths
High performance due to Rust implementation
Efficient package management for Python projects
Streamlined project setup and dependency handling
↑ Strengths
Dependency declaration and management
Virtual environment creation and management
Automatic package versioning
Cross-platform support
Weaknesses
↓ Weaknesses
Limited community support and documentation
Vendor lock-in risks
Complex setup process for non-standard projects
Dependency on Rust ecosystem for performance gains may introduce instability
↓ Weaknesses
Limited support for complex dependency resolution scenarios
Performance issues with large-scale projects