Streamlit

Streamlit turns Python scripts into web apps with zero frontend knowledge. Add `st.title()`, `st.dataframe()`, and `st.plotly_chart()` to your existing code, and you have a shareable dashboard. For data scientists and ML engineers who need to demo results without learning React, nothing is faster.

Gradio is the ML demo specialist — better for showcasing models with image/audio/text inputs. Dash (by Plotly) gives more control for production dashboards but requires callbacks and layout management. Panel works seamlessly in Jupyter notebooks.

Use Streamlit if you need to build an internal tool, data dashboard, or ML prototype and your team is Python-only. The script-to-app model means your analysts can build their own interfaces.

The catch: Streamlit reruns the entire script on every interaction — fine for demos, painful for complex apps with expensive computations. No true component system — styling is limited and custom layouts require hacks. And Snowflake's acquisition means the roadmap increasingly favors Snowflake integration over community features. For production-grade dashboards, you'll eventually outgrow it.