uv-pip-install

Install and manage Python packages in the uv-managed virtual environment.

Quick start

# Install a package
uv pip install requests

# Install multiple packages
uv pip install pandas numpy matplotlib

# Install with extras
uv pip install httpx[http2]

# Check if a package is installed
uv pip show python-docx

# List all installed packages
uv pip list

# Upgrade a package
uv pip install --upgrade requests

When to use

• Python import fails with ModuleNotFoundError
• User asks to install a Python package
• A script requires dependencies that are not installed

Common module-to-package mappings

Workflow

1. If an import error occurs, extract the module name.
2. Map module name to package name if different (see table above).
3. Check if already installed: uv pip show <package>
4. If not installed: uv pip install <package>

Troubleshooting

Common issues

Notes

• Always run from the project directory so the correct .venv is used.
• Use uv pip (not plain pip) to ensure packages go into the uv-managed environment.
• For packages with C extensions, ensure build tools are installed (xcode-select --install on macOS).