Building interactive reports in Streamlit with ipyvizzu
summary
Open-source ipyvizzu plugs an animated C++/WebAssembly chart engine into Streamlit so apps call a single animate method (data, config, style) and charts morph between states. Live examples include Titanic bar-to-polar transforms, a music-revenue explorer with year slider and presets, a click-to-drilldown app and a multi-select/color-picker explorer. The Streamlit bi-directional component sends click events back to Python; default animation delay is 1s but apps set 0.1s for responsiveness. Works reliably with rare transition glitches.
AI-written summary Β· about
chapters (10)
- 0:00Interactive reports in Streamlit
- 2:19ipyvizzu overview
- 10:08ipyvizzu data & animations
- 16:46ipyvizzu with Streamlit
- 17:48Simple chart in Streamlit
- 20:40Music revenue data
- 23:08Drill-down reports
- 25:41Business user explorers
- 33:35Advanced music explorer
- 36:50Call to action
related talks
28mCreating Interactive, Animated Reports in Streamlit with ipyvizzu
58mCreating Interactive, Animated Reports in Streamlit with Vizzu
01h 08mCreating Interactive, Animated Reports in Streamlit with ipyvizzu
01h 31mHands-on intro of ipyvizzu-story
01h 26mipyvizzu-story- a open-source tool to build create+share animated data stories w/ python in jupyter
39mAdvanced Streamlit for Python Developers
26mStreamlit - Build interactive data dashboards quickly
40mUse animated data stories in Jupyter to present
