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BudiBadu
Online Matplotlib Compiler
Matplotlib is Python's most comprehensive library for creating static, animated, and interactive visualizations. As the foundation of Python's data visualization ecosystem, Matplotlib has been the go-to choice for scientists, engineers, and data analysts worldwide for over two decades. Our dedicated online Matplotlib compiler provides a complete browser-based environment where you can experiment with data visualization techniques without any installation or setup required.
This compiler comes pre-configured with Matplotlib 3.x and NumPy, powered by Pyodide WebAssembly technology that brings the full power of Python directly to your browser. You can create publication-quality figures, complex multi-subplot layouts, and 3D visualizations instantly. The online compiler supports all major Matplotlib features including line plots, scatter plots, bar charts, histograms, pie charts, 3D surface plots, contour plots, heatmaps, and statistical visualizations. You have full control over every aspect of your plots—from colors and labels to custom styling and annotations. Additionally, you can upload and use files or folders directly in your code for data processing and visualization workflows. This compiler is online and completely free to use.
The multi-file project support allows you to organize complex visualizations across multiple Python files, making it perfect for both simple examples and sophisticated data analysis projects. Whether you're learning data visualization, prototyping charts for presentations, or teaching Python data science, our platform offers a seamless coding experience with instant feedback and real-time preview capabilities. With our example gallery featuring 6+ pre-built examples, you can quickly learn different plot types and visualization techniques.
Perfect For
- Data scientists prototyping visualizations and creating publication-ready figures
- Students learning Python data visualization and exploring different plot types
- Educators teaching data science courses with interactive examples
- Researchers presenting scientific findings through charts and graphs
- Developers sharing interactive visualization demos and code snippets
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