Streamlit + DuckDB: Build Interactive Data Apps That Read and Write to a DuckDB Database
Build a simple Streamlit task tracker that reads from DuckDB, writes new rows, updates task status, and validates the result with SQL.
Streamlit
Streamlit is an open-source Python framework for building interactive data apps and AI-powered tools with ease. On our blog, we share hands-on tutorials, best practices, and expert tips for creating dynamic Streamlit apps—including dashboards, data visualizations, and chatbot interfaces for AI and machine learning workflows.
13 posts
Streamlit vs Gradio: Choosing the Right Tool for Building Generative AI Apps
📘 Introduction Choosing the right framework can dramatically shape the experience of building and deploying generative AI applications. Streamlit and Gradio are two of the most popular tools for rapidly creating AI demos, prototypes, and interactive interfaces — but they shine in different scenarios. In this guide, we’ll break down when...
Streamlit vs React: Choosing the Right Framework for Your Web App
📘 Introduction Choosing the right framework can make or break your web app. Streamlit and React are two powerful but very different tools. Streamlit is perfect for quickly building interactive data apps in Python, while React offers unmatched flexibility for large-scale, production-ready web applications. But which one is right for you?...
Create Interactive Multiselect Columns in Streamlit
📘 Introduction Streamlit makes it easy to build interactive apps — and its st.data_editor() widget lets users edit data directly inside your app. But what if a single cell needs multiple selections, like tags, skills, or categories? 🤔 That’s where st.column_config.MultiselectColumn comes in! It allows you to...
Add a Background Image to your Streamlit App
📘 Introduction Streamlit makes it super easy to build interactive data apps in Python — without needing HTML, CSS, or JavaScript. But sometimes, you want your app to look more polished and visually appealing. One simple way to achieve that is by adding a background image. Whether you want to match your...
How to build a Chatbot with Streamlit and the OpenAI Agents SDK
📘 Introduction Chatbots are becoming smarter and more useful thanks to agent frameworks. Instead of just responding to messages, agents can plan, call tools, and take actions. With the OpenAI Agents SDK, you can build intelligent assistants that do more than just chat—they can search, calculate, and even connect to...
Speed up your Streamlit App with Caching
📘 Introduction Streamlit makes it super easy to build interactive apps in Python. But as your app grows — loading datasets, running expensive computations, or calling APIs — you might notice it slows down. The good news: Streamlit has a built-in caching system that stores results of expensive operations and reuses them instead...
How to style your Streamlit App with Custom Themes
📘 Introduction Streamlit makes it easy to turn Python scripts into interactive web apps — no front-end coding needed. But what if you want to adjust the look and feel? Maybe you want a dark theme, different fonts, or brand colors. The good news: Streamlit has a built-in theme system that lets...
How to build a Chatbot with Streamlit and the OpenAI Python SDK
📘 Introduction Chatbots are no longer just futuristic concepts—they’re now powering customer service, virtual assistants, and productivity tools everywhere. With the OpenAI Python SDK, you can build a powerful conversational model in just a few lines of code. And when paired with Streamlit, you get a clean, interactive web...