Turn data and ML models into interactive apps with Python—now all in Snowflake.
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.
*Streamlit is now featured in public preview.
TURN PYTHON SCRIPTS INTO WEB APPS
Define widgets—filters, graphs, sliders and more—as variables to interact with your data and models
ADD, ADJUST OR REMOVE COMPONENTS QUICKLY
Modify your code and see changes go live with side-by-side editor and app preview screens
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.
Build an interactive app that uses Snowpark Python to analyze a Knoema CO2 emissions dataset from Snowflake Marketplace.
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.
Staff Data Scientist