<ul><li>Panel allows for advanced customization and control — while streamlit is easy to use, providing a quick way to turn scripts into interactive web apps.</li><li>Panel allows for high levels of customization. It supports complex layouts, widgets, and multiple visualization libraries. The framework is highly interactive and scalable, making it well-suited for dashboards and exploratory data analysis.</li><li>Panel requires more setup than some other tools. Running the script needs panel serve, which differs from a standard Python script execution. The learning curve is slightly steeper because it requires familiarity with hvPlot, GeoViews, and Bokeh.</li><li>Streamlit provides a quick setup with minimal code required to create an interactive web app. The deployment process is simple and can be done easily through Streamlit Cloud. Streamlit is well-suited for beginners since it does not require handling complex layouts manually.</li></ul>

Python Panel vs. Streamlit for Geospatial Data Visualization

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