conda vs uv
On the evidence we track, uv leads this comparison with a composite score of 65/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for package registries. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
conda
An open-source tool and ecosystem for managing software packages and libraries across different programming languages and computer platforms
uv
LeaderA unified command-line tool that consolidates the functionality of multiple Python package management and development utilities into a single interface. It delivers substantially faster dependency resolution and installation compared to traditional package managers.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
conda
- PyPI
uv
Leader- Docker
- GitHub Actions
- GitLab CI/CD
- AWS Lambda
- Azure Artifacts
- AWS CodeArtifact
- JFrog Artifactory
- PyTorch
- FastAPI
- Jupyter
conda or uv: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.