Streamlit is a Python library that simplifies the creation of web applications for data science and machine learning. With a simple and intuitive syntax, Streamlit enables users to turn data scripts into interactive web apps effortlessly.

Dash, built on top of Flask, React, and Plotly, allows users to create interactive, analytical web applications directly from Python. It provides a declarative syntax for building complex dashboards and visualizations.

Bokeh is a versatile Python library for creating interactive visualizations in web browsers. It supports various plot types and interactions, making it suitable for building rich, interactive data applications.

Panel is a high-level app and dashboarding solution for Python. It provides a concise syntax for creating interactive dashboards using a wide range of widgets, layouts, and visualizations.

Voila transforms Jupyter notebooks into standalone interactive web applications. It allows users to share their data analyses and visualizations with others in an easy-to-access web format.

Holoviews simplifies the creation of interactive visualizations in Python. It provides a high-level interface for constructing complex plots with concise and expressive syntax.

Gradio is a Python library that simplifies the creation of interactive machine learning interfaces. It allows developers and data scientists to build user-friendly UIs for machine learning models with minimal code. Gradio supports a wide range of input types, including text, images, and audio, making it easy to deploy and share machine learning models with non-technical users.

Brython is a Python 3 implementation that runs in web browsers using JavaScript. It allows developers to write client-side web applications entirely in Python. With Brython, you can create interactive web applications using Python syntax for both frontend and backend development, providing a unique approach to building web-based interfaces with familiar Python syntax.