Introduction to Streamlit on Snowflake :-

In the fast-paced world of data science and analytics, the convergence of Streamlit and Snowflake is creating unprecedented opportunities for developers and analysts alike. Streamlit, an open-source app framework, integrated with the robust cloud data platform of Snowflake, is setting a new standard for building and sharing data applications. As these technologies come together, especially for AWS region accounts currently enjoying preview access, the potential for innovation and efficiency in data processing and visualization is immense.

Getting Started with Streamlit in Snowflake -

Using a free trail account (observe the account I used has 1 day left in trail) in the left navigation bar, select Streamlit.

Note — Right now Streamlit in Snowflake is a preview feature available in only AWS region accounts.

If you find Streamlit is not activated for the account, as guided go to Admin → Billing & Terms and Enable Anaconda Python packages

Acknowledge Anaconda Packages terms and continue

Go back to Streamlit in the left navigation bar, Select + Streamlit

The Create Streamlit App window opens. Enter a name for your app, select the warehouse, database and schema for your app. Select Create.

Streamlit app has been created.

Conclusion :-

The collaboration between Streamlit and Snowflake is ushering in a new era of data application development, providing an intuitive platform for users to create, manage, and share their data projects efficiently. By following the outlined steps to set up and navigate through Streamlit in Snowflake, developers and analysts can leverage the full potential of these powerful tools to transform data into actionable insights.