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BudiBadu
Online Python Seaborn Compiler
Seaborn is a powerful Python data visualization library built on top of Matplotlib that provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn simplifies the creation of complex visualizations by providing beautiful default styles and color palettes, making it easier to create publication-quality plots with minimal code. The library is particularly well-suited for statistical data visualization and exploratory data analysis.
This compiler includes Seaborn with full support for statistical plotting, powered by Pyodide WebAssembly technology. Seaborn integrates seamlessly with NumPy, Pandas, and Matplotlib, providing functions for creating scatter plots, line plots, bar charts, histograms, box plots, violin plots, heatmaps, and many other statistical visualizations. You can create beautiful visualizations with automatic color palettes, statistical estimation, and built-in themes. Whether you're exploring data distributions, comparing groups, visualizing relationships, or creating statistical plots, our Seaborn playground offers instant execution with full Matplotlib integration for displaying your plots. You can also upload and use files or folders directly in your code for data visualization workflows. This compiler is online and completely free to use.
Our comprehensive example collection covers essential data visualization techniques including basic plotting functions, statistical distributions, categorical plots, relational plots, and advanced styling options. You'll also learn how to create various plot types, customize visualizations, work with built-in datasets, and integrate Seaborn into data analysis workflows. The examples demonstrate practical applications commonly used in data science, statistical analysis, and exploratory data visualization.
Who Should Use This
- Data scientists creating statistical visualizations and exploratory data analysis
- Researchers visualizing experimental data and statistical relationships
- Analysts building publication-quality plots for reports and presentations
- Students learning data visualization and statistical plotting techniques
- Developers building data analysis tools with beautiful visualizations
- Statisticians creating informative graphics for data exploration
Part of the BudiBadu Ecosystem
Specialized Online Python compiler powered by Pyodide WebAssembly. Run Python Library directly in your browser with zero setup.
Pyodide
WebAssembly
Monaco Editor
Python 3.13