Streamlit: prototype data apps in Python

Streamlit is an open-source framework for building interactive web apps in pure Python—great for proofs of concept, internal tools, and dashboards around data science or ML.

Why Streamlit?

• Speed: one page = one .py script; hot reload in development.
• Rich widgets: charts (Plotly, Altair…), tables, forms, file uploads.
• Deployment: Streamlit Community Cloud, Docker, or your own platform.

Minimal example

import streamlit as st

st.title("My first app")
name = st.text_input("Your name")
if name:
    st.success(f"Hello, {name}!")

Good practices

1. Structure code into functions; use st.cache_data / st.cache_resource for expensive loads.
2. Separate business logic from UI widgets to simplify testing.
3. Avoid hard-coded secrets in production: environment variables or a secret manager.

Conclusion

Streamlit pairs well with a Next.js + API stack when teams want to iterate quickly in Python without maintaining a dedicated React front end for every internal data tool.