Blackwood & Vidos - Creating Interactive, Animated Reports in Streamlit with ipyvizzu |PyData Global

IPyVizzu is an open-source charting library that enables creation of interactive, animated data visualizations in Python and Streamlit

The tool features seamless animations between different chart types (bar, pie, scatter etc.) to help users better understand data transitions and relationships

Key capabilities include:

• Interactive filtering and drilling down into data
• Customizable animations and transitions
• Automatic aggregation of values
• Support for multiple chart types and coordinate systems
• Bidirectional integration with Streamlit

Two main usage options:

• Direct coding using the Python library
• No-code interface through Vizu-Builder app for business users

Built on a C++ engine that uses a single logic to generate and interpolate between different chart types

Features storytelling capabilities allowing users to:

• Create animated data stories
• Add interactive elements
• Export presentations as HTML files
• Share visualizations easily

Community-driven development with:

• Open source foundation
• Integration opportunities
• Active Slack community for support
• User feedback driving feature development

Designed to reduce cognitive load through animations that help explain data relationships and changes between different views

Includes built-in data visualization best practices with automatic adaptations for different chart types

Focus on making complex data visualization accessible to non-experts while maintaining flexibility for advanced users