Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

In this guide, you're going to use Streamlit's core features to create an interactive app; exploring a public Uber dataset for pickups and drop-offs in New York City.

Explore step-by-step tutorials for building Streamlit apps including authentication, database connections, data visualization, and advanced features.

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

You can connect any other LLM to Streamlit the same way you would connect to the LLM from any other Python application. Search for a python client or example code from the LLM, and …

We can add some fun to our app by adding emojis to our file names that will render in our Streamlit app. Each page will have its own URL, defined by the name of the file.

Learn how to run Streamlit apps locally, set parameters, configure environment variables, and understand the execution model for development and production.

Explore Discover amazing Streamlit apps from the community. Try them out, browse their source code, fork them, and get inspired!

Learn to build an LLM-powered Streamlit app using LangChain and OpenAI, with step-by-step instructions and a deployment guide.

Learn how to use Streamlit forms with st.form to batch user input, control app reruns, and create efficient interactive interfaces with submit buttons.