uv vs pip: Managing Python Packages and Dependencies - Real Python

"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: Choosing the right package installer can greatly affect your workflow as a Python developer. In this tutorial, you'll compare uv and pip, explore their overlapping features, and learn how to pick the right tool for your project's goals. Take the Quiz: Test your knowledge with our interactive "uv vs pip: Managing Python Packages and Dependencies" quiz. You'll receive a score upon completion to help you track your learning progress:"

pip ships with CPython and provides immediate, wide compatibility and ecosystem support without extra installation steps. uv focuses on fast installs, reproducible environments, and cleaner uninstall behavior, aiming to streamline workflows for new projects. Comparison centers on overlapping features such as package installation and dependency management, with a metrics table summarizing strengths and trade-offs. Benchmarks and per-metric analysis evaluate install speed, reproducibility, and dependency resolution. A decision table helps select the tool that matches project goals. An interactive quiz assesses knowledge of uv and pip differences and tracks learning progress.

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