Agilab Streamlit Pages

About

The Agilab Streamlit Pages skill is designed to assist engineers in building stable and efficient AI-driven applications. It provides specialized logic to handle common Streamlit development challenges, such as preventing session state crashes, implementing unique namespaced keys, and utilizing modern rerun APIs. By following these predefined architectural patterns, developers can ensure that their AGILAB engineering tools maintain consistent user states and provide a seamless UX, making it an essential companion for complex data science and engineering dashboard development.

Key Features

• Namespaced widget key management for stable UI components
• 3 GitHub stars
• Standardized page initialization using setdefault patterns
• Session state safety patterns to prevent illegal state assignments
• Optimized implementation of modern st.rerun API usage
• Versioned key strategies for safe widget resets

Use Cases

• Refactoring legacy Streamlit apps to modern session state standards
• Building complex data-driven interfaces with stable interactive widgets
• Developing multi-page AI dashboards for engineering experimentation