# Matplot++

> C++ graphics library for data visualization with a MATLAB-like API.

- Category: [C++ visualization libraries & applications](https://awesomedataviz.com/categories/cpp/)
- Website: https://alandefreitas.github.io/matplotplusplus/
- Repository: https://github.com/alandefreitas/matplotplusplus
- License: MIT
- Language: C++
- Status: Maintained (commits in the last 12 months)
- GitHub stars: 4,937
- Commits in the last 12 months: 3
- Contributors: 50
- Last commit: Apr 2, 2026
- Latest release: v1.2.2 (Feb 14, 2025)
- Topics: 3D & scientific visualization

## Overview

Matplot++ is an open-source C++ visualization tool released under the MIT license. Its GitHub repository has 4,937 stars, 389 forks, and 50 contributors. It is maintained with 3 commits in the last 12 months; the most recent commit was on Apr 2, 2026. The latest release, v1.2.2, was published on Feb 14, 2025.

## Alternatives

- [ImPlot](https://awesomedataviz.com/tools/implot/): Immediate-mode plotting library for Dear ImGui. (6.2K stars)
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- [F3D](https://awesomedataviz.com/tools/f3d/): Cross-platform, fast, and minimalist 3D viewer with scientific visualization tools. (4.7K stars)
- [Mapnik](https://awesomedataviz.com/tools/mapnik/): Toolkit for rendering maps, widely used to render OpenStreetMap tiles. (4K stars)
- [ROOT](https://awesomedataviz.com/tools/root/): CERN framework for analyzing, storing and visualizing large scientific datasets. (3.3K stars)
- [VTK](https://awesomedataviz.com/tools/vtk/): Open-source library for 3d Graphics, image processing and visualization. (3.2K stars)

## Comparisons

- [ImPlot vs Matplot++](https://awesomedataviz.com/compare/implot-vs-matplotpp/)
- [Matplot++ vs PlotJuggler](https://awesomedataviz.com/compare/matplotpp-vs-plotjuggler/)
- [F3D vs Matplot++](https://awesomedataviz.com/compare/f3d-vs-matplotpp/)
- [Mapnik vs Matplot++](https://awesomedataviz.com/compare/mapnik-vs-matplotpp/)

Source: https://awesomedataviz.com/tools/matplotpp/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).