Streamlit Features

Streamlit Features. Streamlit: Effortlessly create and share interactive ML and data science web apps with Python. No web dev skills needed—just focus on your data!

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