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lava/matplotlib-cpp

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Matplotlib Cpp

matplotlib-cpp is a header-only C++ library and wrapper that enables the creation of 2D and 3D visualizations by calling Matplotlib functions directly from C++ code. It serves as a plotting interface for generating line plots, bar graphs, and surface charts using a Python-based backend.

The library is designed as a lightweight integration that provides plotting capabilities without requiring a complex build process or compiled binaries.

It covers a range of visualization capabilities, including multi-dimensional data rendering, vector field plotting, and the arrangement of multiple subplots. The toolkit also supports the production of dynamic animations and the export of generated visualizations as image files.

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Features

  • C++ Visualization - Enables high-performance 2D and 3D data plotting directly within C++ applications.
  • Matplotlib C++ Wrappers - Provides a header-only C++ interface to create 2D and 3D visualizations using the Matplotlib backend.
  • 2D Plot Constructors - Provides programmatic construction of 2D and 3D charts, including line, surface, and quiver plots.
  • Python-C Interfaces - Provides a thin interface layer mapping C++ calls to a Python-based plotting backend.
  • Python-from-C Invocations - Provides the mechanism to invoke Python plotting functions from within a compiled C++ environment.
  • C Function Bindings - Maps C++ method signatures to Python module functions to mirror the external plotting API.
  • Native Object Wrapping - Wraps C++ data structures into Python objects for processing by the Matplotlib plotting engine.
  • Animated Data Representations - Produces moving visualizations that update over time to illustrate changing data trends.
  • Animated Visualizations - Creates moving visualizations by updating plot data over time to illustrate dynamic processes.
  • Three-Dimensional Visualizations - Visualizes three-dimensional functions and data structures using a specialized programming interface.
  • Data Plotting Workflows - Facilitates the creation of high-quality scientific 2D and 3D graphical representations of numerical data.
  • Vector Field Visualizations - Produces quiver plots to represent directional data and vector fields in a coordinate system.
  • Scientific Plot Exporters - Saves generated visualizations as image files in various formats for external distribution.
  • Header-Only Libraries - Implemented as a header-only library to eliminate the need for separate compilation and linking steps.
  • Python Code Generators - Converts C++ function calls into formatted strings evaluated as Python code by the embedded interpreter.
  • Mathematical Visualization - Visualizes mathematical functions and vector fields using quiver plots and 3D rendering.
  • Subplot Grid Layouts - Organizes multiple charts into a single figure using grid layouts or coordinate-based positioning.
  • Data Visualization - Wrapper for the Python matplotlib plotting library.
  • Mathematics and Statistics - C++ plotting library based on matplotlib.
4,760 stars·1,183 forks·C++·MIT·26 views

Star history

Star history chart for lava/matplotlib-cppStar history chart for lava/matplotlib-cpp

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Projects sharing features with Matplotlib Cpp

These projects share indexed features with Matplotlib Cpp. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • alandefreitas/matplotplusplusalandefreitas avatar

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    Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to create interactive 2D and 3D visualizations. It functions as a reactive visualization framework where plots update automatically via observables and compute graphs, and as a vector graphics generator for high-resolution academic output. The system is distinguished by its backend-agnostic rendering pipeline, which supports OpenGL, WebGL, and ray-traced scenes. It employs a grammar-of-graphics approach to map variables to aesthetic attributes and utilizes a hierarchical scene graph t

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    pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns for advanced Python development, system integration, and high-performance computing. It serves as a comprehensive guide for implementing low-level network programming, native C extensions, and asynchronous and concurrent programming. The project provides specialized frameworks for the development and deployment of large language models, including tools for distributed GPU inference and high-performance serving. It also includes detailed patterns for high-performance computing

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    Matplotlib is a Python data visualization library and 2D plotting engine used to generate publication-quality figures and charts from numerical data. It serves as a numerical graphics library and data visualization toolkit for mapping data to visual elements. The library provides capabilities for producing static, animated, and interactive visualizations. This includes creating high-resolution figures for professional documents, generating moving graphics to illustrate data evolution over time, and building dynamic plots for interactive data exploration. The toolkit supports scientific plott

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Frequently asked questions

What does lava/matplotlib-cpp do?

matplotlib-cpp is a header-only C++ library and wrapper that enables the creation of 2D and 3D visualizations by calling Matplotlib functions directly from C++ code. It serves as a plotting interface for generating line plots, bar graphs, and surface charts using a Python-based backend.

What are the main features of lava/matplotlib-cpp?

The main features of lava/matplotlib-cpp are: C++ Visualization, Matplotlib C++ Wrappers, 2D Plot Constructors, Python-C Interfaces, Python-from-C Invocations, C Function Bindings, Native Object Wrapping, Animated Data Representations.

Which projects share features with lava/matplotlib-cpp?

Projects with overlapping indexed features include: alandefreitas/matplotplusplus — This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network… makieorg/makie.jl — Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to… matplotlib/matplotlib — Matplotlib is a Python data visualization library and 2D plotting engine used to generate publication-quality figures… crazyguitar/pysheeet — pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns… margelo/react-native-graph — This project is a cross-platform mobile graphing library designed for rendering high-performance animated line charts… dataarts/webgl-globe — webgl-globe is a WebGL globe visualization library and geospatial renderer used to display latitude and longitude…