What are the challenges and limitations of using Streamlit in Snowflake Native Apps?

Streamlit in Snowflake Native Apps is a powerful tool for building and deploying data apps, but there are some challenges and limitations that should be considered:

Limited customization: Streamlit is a relatively new platform, and it does not offer as much customization as some other platforms. For example, you cannot add custom CSS or JavaScript to your Streamlit apps.
Not suitable for large datasets: Streamlit is not designed to handle large datasets. If you need to work with large datasets, you may need to use a different platform.
Not suitable for complex applications: Streamlit is not designed for complex applications. If you need to build a complex application, you may need to use a different platform.

In addition to these challenges and limitations, it is important to note that Streamlit in Snowflake Native Apps is still under development. This means that new features and functionality are being added all the time. However, it also means that there may be bugs or other issues that have not yet been identified.

Despite these challenges and limitations, Streamlit in Snowflake Native Apps is a powerful tool for building and deploying data apps. It is a good choice for organizations that are looking for a platform that is easy to use and scalable.

Here are some tips for mitigating the challenges and limitations of using Streamlit in Snowflake Native Apps:

Use a different platform if you need heavy customization or need to work with large datasets or complex applications.
Test your apps thoroughly before deploying them to production.