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Streamlit is a library for turning Python scripts into shareable web applications. Streamlit apps are designed for the data science and machine learning community and make it easy to build dashboards and interactive ML models. What makes Streamlit so popular is its simplicity. Using the Streamlit library is quick and intuitive, which means you can create data apps without needing any web development experience.
Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)
Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.
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