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Streamlit is an open-source framework designed to assist data scientists in developing data-driven applications. It enables an intuitive user interface and adds interactive aspects to data applications, allowing users to explore data in real time. The Streamlit framework can help to accelerate data science processes and machine learning model development by providing a quick app-building approach. It is compatible with both Python and R programming languages, however it is more commonly used with Python. With features such as drop-down menus and sliders, Streamlit’s configurable dashboard enables data scientists to see data in a more engaging and understandable manner. This means that developers can easily create data-rich applications while giving end users more control and improvement on data insights.

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