# Interactive Visualization

Interactive visualizations allow users to explore data by hovering, zooming, panning, and filtering directly in the chart. They are more engaging than static plots for dashboards and reports where the audience needs to examine specific data points. Python's main interactive visualization libraries are Plotly and Altair.

Visit the following resources to learn more:

- [@article@Top 10 Python Data Visualization Libraries](https://reflex.dev/blog/top-10-data-visualization-libraries/)
- [@article@4 Key Players in Python Data Visualization Ecosystem: Matplotlib, Seaborn, Altair, and Plotly](https://towardsdatascience.com/4-key-players-in-python-data-visualization-ecosystem-matplotlib-seaborn-altair-and-plotly-23ae37a68227/)