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Streamlit documentation

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!

rocket_launch

Get started with Streamlit! Set up your development environment and learn the fundamental concepts, and start coding!

description

Develop your Streamlit app! Our API reference explains each Streamlit function with examples. Dive deep into all of our features with conceptual guides. Try out our step-by-step tutorials.

cloud

Deploy your Streamlit app! Streamlit Community Cloud our free platform for deploying and sharing Streamlit apps. Streamlit in Snowflake is an enterprise-class solution where you can house your data and apps in one, unified, global system. Explore all your options!

school

Knowledge base is a self-serve library of tips, tricks, and articles that answer your questions about creating and deploying Streamlit apps.

attach_file

File uploader for st.chat_input

User's can upload files directly withinst.chat_input!

view_column

JSON column configuration

st.dataframe and st.data_editorsupport JSON compatible objects.

download

Download buttons without reruns

You can disable app reruns forst.download_button.

timer

Access the user's timezone

st.context lets you read the user's timezone and timezone offset.

height

Dataframe row height

You can set the height of rows in st.dataframeand st.data_editor.

edit

Markdown image captions

Markdown has a new :small[] directive for small text, the same size as st.caption.

How to build a movie recommendation app without the complexities of vector databases

Use the Streamlit-Weaviate Connection to integrate a vector database

Next: Read More

How to create an AI chatbot using one API to access multiple LLMs

Programmatically integrate AI with Replicate and Streamlit

Next: Read More

Just build it

How we design Streamlit to bias you toward forward progress.

Next: Read More
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Join the community

Streamlit is more than just a way to make data apps, it's also a community of creators that share their apps and ideas and help each other make their work better. Please come join us on the community forum. We love to hear your questions, ideas, and help you work through your bugs — stop by today!

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