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Streamlit

The fastest way to build data apps in pure Python — now part of Snowflake.

Acquired — still operating

acquired by Snowflake 2022

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About

Streamlit is an open-source Python framework that turns data scripts into shareable web apps: write Python top-to-bottom, and every widget interaction reruns the script. There is no frontend code, no callbacks to wire up — st.slider, st.dataframe, and st.chat_input give you interactive apps in minutes, which made it the default UI layer for data science and LLM prototypes.

Snowflake acquired Streamlit in 2022 and made it a first-class citizen of the data cloud: Streamlit in Snowflake (SiS) runs apps natively inside Snowflake with governed data access, and Streamlit became the standard way to build Cortex AI chat interfaces against enterprise data. The ecosystem includes thousands of custom components and a free Community Cloud for public apps.

Limitations: the top-to-bottom rerun model gets awkward for complex stateful apps; Community Cloud is free but limited (apps sleep, one private app); the commercial path is Streamlit in Snowflake, which ties you to the Snowflake platform; and highly custom designs hit the limits of the component model.

What it can do

  • Pure-Python reactive app model
  • Chat elements for LLM interfaces
  • Caching and session state
  • Native Snowflake deployment (SiS)
  • Thousands of community components

Setup

pip install streamlit; write app.py and run streamlit run app.py. Deploy free on Streamlit Community Cloud or natively in Snowflake.

Prerequisites

Python 3.9+; data or an LLM API to build against.

Use cases

data-appsdashboardsllm-apps

Works with

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 67; Trending score 84/100 from researcher assessment.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.