Open-Awesome
CategoriesAlternativesStacksSelf-HostedExplore
Open-Awesome

© 2026 Open-Awesome. Curated for the developer elite.

TermsPrivacyAboutGitHubRSS
  1. Home
  2. C/C++
  3. matplotplusplus

matplotplusplus

MITC++v1.2.2

A C++ graphics library for data visualization with interactive plotting, high-quality export, and dozens of plot categories.

Visit WebsiteGitHubGitHub
4.9k stars386 forks0 contributors

What is matplotplusplus?

Matplot++ is a C++ graphics library designed for data visualization, providing interactive plotting and high-quality export capabilities. It solves the problem of lacking dedicated, native plotting tools in C++ for scientific applications, allowing developers to create and analyze visualizations directly within their C++ codebase.

Target Audience

C++ developers and scientists working on data-intensive applications, particularly in fields like scientific computing, engineering, and data analysis who need to visualize results without switching to other languages or environments.

Value Proposition

It offers a comprehensive, native C++ solution with a familiar API, eliminating the need for external dependencies or language bindings, while providing a wide range of plot types and export options tailored for scientific publication.

Overview

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

Use Cases

Best For

  • Creating publication-quality plots for scientific papers directly from C++ code
  • Building interactive data analysis tools with real-time visualization in C++ applications
  • Visualizing simulation results in scientific computing and engineering projects
  • Developing educational software for teaching data visualization concepts in C++
  • Generating complex charts like contour plots, 3D surfaces, and geographic maps in C++
  • Prototyping and analyzing algorithms with immediate visual feedback within a C++ environment

Not Ideal For

  • Projects requiring rapid iteration and scripting flexibility, where Python with matplotlib offers quicker development cycles
  • Applications deeply integrated with GUI frameworks like Qt that prefer native widget-based plotting over library abstractions
  • Teams seeking extensive pre-built visualization templates or drag-and-drop tools without custom coding
  • Environments where lightweight, web-based deployment is prioritized over native C++ integration

Pros & Cons

Pros

Comprehensive Plot Variety

Supports dozens of plot categories including line plots, data distributions, geography, polar plots, and 3D surfaces, as evidenced by the extensive gallery in the README.

Native C++ Integration

Eliminates the need for exporting data or relying on bindings to other languages, enabling direct visualization within C++ applications for seamless workflow.

High-Quality Export

Provides publication-ready export formats like PDF and SVG, crucial for scientific papers and reports, with programmatic saving capabilities.

Interactive Plotting

Allows real-time manipulation and updates of plots within C++ apps, enhancing data analysis with immediate visual feedback.

Flexible Coding Styles

Offers multiple approaches such as member functions, free-standing functions, method chaining, and ranges, catering to different programming preferences.

Cons

Setup and Integration Complexity

Requires CMake and managing dependencies, which can be challenging and time-consuming compared to drop-in libraries or scripting environments.

Limited Community Support

As a niche C++ library, it has fewer users, resources, and third-party extensions than established tools like Python's matplotlib.

Steep Learning Curve

Assumes proficiency in modern C++ and plotting APIs, making it less accessible for beginners or those transitioning from simpler visualization tools.

Performance Overhead

May introduce unnecessary complexity and overhead for basic or lightweight visualization needs where simpler solutions suffice.

Open Source Alternative To

matplotplusplus is an open-source alternative to the following products:

Matlab
Matlab

MATLAB is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks for matrix manipulations, algorithm development, and data analysis.

Matplotlib
Matplotlib

A comprehensive plotting library for Python that produces static, animated, and interactive visualizations, widely used for data visualization in scientific computing.

Frequently Asked Questions

Quick Stats

Stars4,942
Forks386
Contributors0
Open Issues81
Last commit6 months ago
CreatedSince 2020

Tags

#scientific-visualization#scientific-computing#graphics#data-science#cpp17#cmake#c-plus-plus#graphics-library#plotting#data-visualization#charting-library#data-analysis#charts

Built With

C
CMake
C
C++17

Links & Resources

Website

Included in

C/C++70.6k
Auto-fetched 1 day ago

Related Projects

matplotlib-cppmatplotlib-cpp

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

Stars4,763
Forks1,179
Last commit2 years ago
Plotly++Plotly++

Plotly for C++. A C++ interface to the Plotly.js figure spec, for creating interactive data visualizations.

Stars148
Forks8
Last commit8 months ago
mathplotmathplot

C++ modules for plotting, graphing and data visualization

Stars66
Forks13
Last commit2 days ago
gplot++gplot++

A header-only C++ library that interfaces with Gnuplot

Stars37
Forks2
Last commit4 months ago
Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a projectStar on GitHub