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.

What are some open-source alternatives to lava/matplotlib-cpp?

Open-source alternatives to lava/matplotlib-cpp 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…

Matplotlib Cpp - رسم مخططات ثنائية وثلاثية ال…

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.

بدائل مفتوحة المصدر لـ Matplotlib Cpp

مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع Matplotlib Cpp.

alandefreitas/matplotplusplus
alandefreitas/matplotplusplus
4,894عرض على GitHub
This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network graphs, and geographic maps. It operates as a multi-backend graphics library, decoupling high-level plotting logic from low-level rendering engines to support various output backends. The project distinguishes itself with a dual-interface API, providing both a global functional interface for rapid prototyping and an object-oriented interface for precise control. It features a component-based layout engine for managing tiled grids and subplots, alongside a layered plot state that all
C++charting-librarychartscontour-plots
عرض على GitHub4,894
makieorg/makie.jl
MakieOrg/Makie.jl
2,778عرض على GitHub
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
Juliagpugraphicsjulia
عرض على GitHub2,778
crazyguitar/pysheeet
crazyguitar/pysheeet
8,150عرض على GitHub
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
Python
عرض على GitHub8,150
matplotlib/matplotlib
matplotlib/matplotlib
22,891عرض على GitHub
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
Pythondata-sciencedata-visualizationgtk
عرض على GitHub22,891

عرض جميع البدائل الـ 30 لـ Matplotlib Cpp

Matplotlib Cpp - رسم مخططات ثنائية وثلاثية ال… | Awesome Repos

lavamatplotlib-cpp

Matplotlib Cpp

Features

بدائل مفتوحة المصدر لـ Matplotlib Cpp

alandefreitas/matplotplusplus

MakieOrg/Makie.jl

crazyguitar/pysheeet

matplotlib/matplotlib

Frequently asked questions

سجل النجوم

بدائل مفتوحة المصدر لـ Matplotlib Cpp

alandefreitas/matplotplusplus

MakieOrg/Makie.jl

crazyguitar/pysheeet

matplotlib/matplotlib

Frequently asked questions