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Streamlit is an open-source framework that aims to make it easier for developers to create interactive data science and machine learning applications. It provides a user-friendly web-based interface that simplifies the development and deployment process. The framework supports multiple programming languages, including Python, R, and Julia. With its intuitive syntax, developers can easily write application logic and generate interactive visualizations. Streamlit offers a range of built-in widgets and components that can be customized to meet the needs of the application. These widgets and components enable the creation of user inputs, charts, plots, tables, and more, resulting in highly interactive applications. Overall, Streamlit simplifies the creation of data-driven applications by providing a flexible and intuitive framework for developing and deploying interactive dashboards, apps, and visualizations. It is a valuable tool for both novice and experienced data scientists, allowing them to focus on their application logic and data analysis without worrying about code optimization and UI design.