What are the key features of Streamlit?

What are the key features of Streamlit?

Streamlit is known for its simplicity and speed in building web apps for data science. Key features include easy deployment, real-time interactivity, and support for various data visualization libraries.

Can you explain how real-time interactivity works in Streamlit?

Sure! Streamlit allows you to create interactive widgets like sliders and buttons that update your app in real-time as users interact with them.

What kind of data visualizations can I create with Streamlit?

You can create a wide range of visualizations using libraries like Matplotlib, Plotly, and Altair, all integrated seamlessly with Streamlit.

Is it easy to deploy a Streamlit app?

Yes, deploying a Streamlit app is straightforward. You can use Streamlit Sharing, Heroku, or even Docker for deployment.

Are there any limitations I should be aware of?

While Streamlit is powerful, it may not be suitable for very complex web applications that require extensive customization.