Streamlit is an open-source Python framework that allows users to transform data scripts into shareable web applications quickly, making it particularly beneficial for data scientists and analysts looking to create interactive visualizations and dashboards with minimal front-end development experience. The tutorial provides guidance on building a dashboard for a movie dataset from IMDb, demonstrating how to install Streamlit, integrate Matplotlib charts, and utilize widgets and layouts, such as columns and sidebars, to enhance interactivity and user experience. Streamlit's compatibility with major Python libraries and its ability to host applications on Streamlit Cloud, with features like automatic updates from GitHub repositories, make it an appealing choice for developing data visualization projects. Additionally, the tutorial highlights the importance of using widgets to interact with data and the benefits of organizing layouts using "with" statements to maintain code clarity and functionality.