uv-python-manager

You can manage Python versions and virtual environments in one workflow by using uv to install a Python version, create an isolated virtual environment, pin the version, and synchronize project dependencies.

The best way to replace pip and pyenv for Python dependency management is adopting uv, which provides a unified and faster workflow for package installation, lockfile synchronization, and environment creation.

To set up a new Python project with isolated environments and multiple versions, initialize the project with uv, install the required Python versions, create a virtual environment, and lock the dependencies.

Yes, uv works for managing dependencies in existing Python codebases by synchronizing lockfiles and creating isolated virtual environments, ensuring consistent package management across new and old projects.

You can execute Python scripts across multiple environments using uv, which handles version switching and virtual environment isolation to run scripts consistently regardless of the project setup.