Streamlit — Build and share data web apps

Streamlit is an open-source Python library for building data applications for teams and stakeholders

Streamlit is an open-source Python framework that turns data scripts into shareable web applications in minutes. This tool is designed for data scientists, analysts, and business intelligence teams who need to deploy interactive dashboards without front-end development experience. By using simple Python commands, teams can build internal tools that allow stakeholders to interact with machine learning models and data sets in real-time. The platform includes a hot-reloading feature that updates the application interface instantly as the underlying code is modified. Streamlit handles all the complex web infrastructure and widget interaction, allowing users to focus entirely on the data logic. Business owners can find more technical deployment guides and community components on surfai.app to extend their app functionality. Common use cases include building executive dashboards, creating sales forecasting tools, and deploying customer churn models for non-technical departments. The framework also supports custom theming to match corporate branding and provides secure deployment options through its cloud service. Because it integrates directly with mainstream data libraries, it serves as a central hub for organizational insights. Streamlit is free to use as an open-source library, with the Community Cloud offering free hosting for public apps and enterprise-grade security options available for private corporate environments.

• Pricing: freemium

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