Streamlit's Core Features
Streamlit offers several standout features, including:
- Rapid development of web apps using Python
- Interactive widgets that enhance user engagement
- Automatic app updates in response to data changes
- Native support for popular Python libraries such as Pandas, Matplotlib, and Plotly
- Easy deployment across multiple platforms
Streamlit's Use Cases
Streamlit is versatile and can be applied in various scenarios, such as:
- Creating interactive dashboards for in-depth data analysis
- Prototyping and showcasing machine learning models
- Building custom data visualization applications
- Developing internal tools for automating data-related tasks