Announcing Streamlit for Data Science: Second Edition

Announcing Streamlit for Data Science: Second Edition

Your step-by-step guide to building interactive data apps with Streamlit. Check out the latest power user insights, practical tips, and interviews from expert creators!

Product by Tyler Richards,
Develop Streamlit apps in-browser with GitHub Codespaces

Develop Streamlit apps in-browser with GitHub Codespaces

Build anywhere without the hassle of a local Python environment

GitHub Codespaces by Brian Holt,
Build your own Notion chatbot

Build your own Notion chatbot

A step-by-step guide on building a Notion chatbot using LangChain, OpenAI, and Streamlit

LLMs by Logan Vendrix,
st.status: Visualize your app’s processes

st.status: Visualize your app’s processes

Rich context for users and more control for developers

Product by Joshua Carroll,
Chat with pandas DataFrames using LLMs

Chat with pandas DataFrames using LLMs

A step-by-step guide on how to build a data analysis chatbot powered by LangChain and OpenAI

LLMs by Amjad Raza,
Build a chatbot with custom data sources, powered by LlamaIndex

Build a chatbot with custom data sources, powered by LlamaIndex

Augment any LLM with your own data in 43 lines of code!

LLMs by
Caroline Frasca and 3 more,
Deep-learning apps for image processing made easy: A step-by-step guide

Deep-learning apps for image processing made easy: A step-by-step guide

Learn how to develop custom deep-learning apps using image processing models with Streamlit

Exploring LLMs and prompts: A guide to the PromptTools Playground

Exploring LLMs and prompts: A guide to the PromptTools Playground

Learn how to build dynamic, stateful applications that harness multiple LLMs at once

LLMs by
Steve Krawczyk and 2 more,
PureHuB: A search engine for your university

PureHuB: A search engine for your university

A step-by-step guide to creating an inverted index search app using Python and Streamlit

AI Interviewer: Customized interview preparation with generative AI

AI Interviewer: Customized interview preparation with generative AI

How we built an app to generate job-specific interview questions, offers personalized evaluations, and even support voice interaction!

LLMs by
Haoxiang Jia and 2 more,