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Streamlit

in Snowflake

Turn data and ML models into interactive apps with Python—now all in Snowflake.

Arctic
ANNOUNCEMENT

Introducing Snowflake Arctic, the best LLM for enterprise AI

Efficiently intelligent. Truly open. A top-tier model for off-the-shelf enterprise use cases is here.

A faster way to build,

deploy and share data apps

Data scientists and Python developers can now combine Streamlit’s component-rich, open-source Python library with the scale, performance and security of the Snowflake platform.

Build

Iterate

Share

TURN PYTHON SCRIPTS INTO WEB APPS

Define widgets—filters, graphs, sliders and more—as variables to interact with your data and models

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ADD, ADJUST OR REMOVE COMPONENTS QUICKLY

Modify your code and see changes go live with side-by-side editor and app preview screens

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GO FROM BUILD TO PROD IN ONE CLICK

Deploy Streamlit apps in scalable, reliable infrastructure—then share via URLs that leverage existing role-based access controls.

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Ready to build your own?

Explore CO2 emissions by country over time

Visualize trends in U.S. bank deposits

Estimate revenue for multiple ad spends

Run sentiment analysis and more with OpenAI’s LLM

Want more ideas?

Knoema graphic

Build an interactive app that uses Snowpark Python to analyze a Knoema CO2 emissions dataset from Snowflake Marketplace.

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AppFolio Delivers Streamlit Apps In Minutes

“

Streamlit allows you to work end-to-end in Python, and enables us to build high quality, beautiful apps within minutes to an hour. That's not possible in any other solution, and the possibilities of visualizations or data delivery back to stakeholders is infinite.

”

Charlotte Fling

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