Streamlit

Streamlit is an open source Python framework for turning data scripts into shareable web apps. Developers write ordinary Python, and the framework handles the interface: adding a widget is as simple as declaring a variable, with no backend, routes, HTML, CSS or JavaScript to write. The app refreshes automatically as the source file is saved, which keeps iteration quick. It is aimed at data scientists, machine learning engineers and analysts who want to share models, charts and analyses without front end experience. Installation is a single pip command, and a live playground in the browser lets people try it without installing anything. The project also supports custom components built and shared by the community, and a gallery of example apps is organized by category, including large language model and natural language processing apps. Recent releases have added Apache ECharts charting, async and await support and live updates for text inputs. Deployment has several routes. Streamlit Community Cloud hosts public apps for free and requires a GitHub account. Snowflake offers unlimited private apps with enterprise deployment, and apps can also be hosted anywhere else. The framework itself is free to install and use. No separate pricing page is published on the Streamlit site.