Streamlit

Founded by Adrien Treuille in 2019

Build and share interactive data applications and dashboards using pure Python code

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Streamlit to turn Python scripts into interactive web applications without writing HTML, CSS, or JavaScript. It lets you build dashboards, prototypes, and machine learning demos directly from your data science code. By adding simple Python widgets like sliders, text boxes, and charts, your scripts automatically update as users interact with them. You can test your apps locally with instant reloading upon saving files, or deploy them directly to the cloud to share your findings and models with colleagues and non-technical stakeholders.

What Streamlit does

Generate interactive charts and tables from pandas DataFramesAdd interactive user input fields to control data queriesDeploy Python web applications to the cloud from a GitHub repositoryPrototype machine learning user interfaces without HTML or CSSEmbed interactive data visualizations into shareable web pagesBuild clickable prototypes for data-focused software projectsConvert Python scripts into interactive web applications without writing frontend codeAdd interactive widgets like sliders, text inputs, and buttons using standard Python syntaxHot-reload applications instantly when saving updates to local Python filesRender interactive charts using libraries like Apache ECharts, Plotly, and Vega-LiteDeploy public web applications directly from GitHub using Community CloudSupport async and await syntax for non-blocking backend data operationsIntegrate custom frontend components built with HTML and JavaScript