uv vs pip: Managing Python Packages and Dependencies

When it comes to Python package managers, the choice often comes down to uv vs pip. You may choose pip for out-of-the-box availability, broad compatibility, and reliable ecosystem support. In contrast, uv is worth considering if you prioritize fast installs, reproducible environments, and clean uninstall behavior, or if you want to streamline workflows for new projects.

In this tutorial, you’ll compare both tools. To keep this comparison meaningful, you’ll focus on the overlapping features, primarily package installation and dependency management. The decision table below can help you quickly choose between the two:

Use Case uv pip

You need a tool with reliable ecosystem support — ✅

Use Case	`uv`	`pip`
You need a tool with reliable ecosystem support	—	✅
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