optimizing-streamlit-performance

Improve Streamlit performance by caching data computations with @st.cache_data, caching resources like database connections with @st.cache_resource, and using st.fragment to isolate expensive UI components from full script reruns.

Use st.cache_data for expensive data computations to return cached copies, and use st.cache_resource for global resources like database connections where returning the exact same object is required.

Stop unnecessary Streamlit reruns by applying @st.cache_data to heavy functions and using conditional rendering alongside st.fragment to ensure only the required UI sections update.

The best way to handle large datasets in Streamlit is to cache loaded data with @st.cache_data and apply smart conditional rendering strategies to minimize recomputation during interactions.

Yes, you can isolate expensive components in Streamlit using st.fragment, which allows specific UI sections to rerun independently without triggering a full dashboard reload.

A Streamlit app might still run slowly if global resources are not cached with @st.cache_resource or if complex UIs lack st.fragment isolation, causing unnecessary conditional rendering and heavy content loads.