Updated on February 26, 2025
This app showcases multi-library data visualization by comparing Matplotlib, Seaborn, Plotly, and Altair. Each graph type is recreated in all four libraries, highlighting their unique styles and capabilities. It serves as a practical guide for exploring different approaches to data visualization.
Use template ->This app provides a side-by-side comparison of four popular Python visualization libraries: Matplotlib, Seaborn, Plotly, and Altair. By generating the same graphs using each library, it demonstrates their strengths, syntax differences, and customization options. Whether you need static, statistical, interactive, or declarative visualizations, this app helps you understand how each library handles different types of data representation.
This app is valuable for data analysts, scientists, and developers who want to select the best visualization tool for their projects. It simplifies the decision-making process by visually comparing libraries, helping users identify which one best fits their workflow. Whether you're creating publication-ready plots with Matplotlib, statistical charts with Seaborn, interactive dashboards with Plotly, or concise declarative visuals with Altair, this app provides a hands-on guide to making the right choice.
Katerina Hynkova