Key Features of Streamlit
Streamlit's core features include:
- Rapid web app creation using just Python
- Interactive elements for dynamic user engagement
- Automatic updates reflecting real-time data changes
- Compatibility with Python libraries such as Pandas, Matplotlib, and Plotly
- Easy deployment on multiple platforms
Streamlit's Use Cases
Streamlit can be applied to various purposes, including:
- Developing interactive dashboards for data exploration
- Building prototypes for machine learning models
- Crafting data visualization tools
- Developing internal tools for data processing and automation