setting-up-streamlit-environment

To set up a Python environment for a Streamlit app, you can use uv to create an isolated virtual environment, install required dependencies, and execute the application using uv run.

Yes, you can use uv to manage dependencies across multiple Streamlit projects, making it suitable for upgrading packages or ensuring reproducible environments across different application codebases.

The best way to run a Streamlit app in an isolated environment is using uv run, which executes your Python script while ensuring all project-specific dependencies are resolved within the virtual environment.

You do not strictly need uv to start a new Streamlit project, but using uv as your dependency manager provides lightweight, reproducible environment setup and streamlined dependency installation.

uv handles dependency version pinning for Streamlit apps by managing the installation and locking of package versions, ensuring your project maintains a reproducible state across different setups.