setting-up-streamlit-environment

To set up a reproducible Streamlit environment, use uv to initialize a project, which generates a pyproject.toml and uv.lock for deterministic builds. You then install Streamlit and run the app using streamlit run streamlit_app.py.

The best way to manage Streamlit dependencies for CI workflows is using uv to create reproducible builds. By generating a uv.lock file alongside pyproject.toml, your automated CI runs will install exact dependency versions consistently.

Yes, you can use venv to create an isolated virtual environment for Streamlit development. While uv is recommended for producing reproducible pyproject.toml and uv.lock files, standard venv with pip works for quick local setups.

You need pyproject.toml and uv.lock to ensure reproducible builds across different machines. These files define and lock exact dependency versions, preventing environment drift during local development and CI workflows.

To add libraries like plotly to a uv-managed Streamlit project, include them as dependencies using uv. This updates the pyproject.toml and uv.lock files, ensuring the packages are correctly installed before running streamlit run.

Yes, setting up Streamlit with uv works for both local development and CI. The generated pyproject.toml and uv.lock files ensure the isolated virtual environment and dependencies are reproduced exactly across all workflows.