A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
-
Updated
Nov 10, 2025 - C++
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Create charts from the command line
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Money Manager Ex is an easy to use, money management application built with wxWidgets
GraphVite: A General and High-performance Graph Embedding System
This is the official GitHub repository for OpenSpace: an open source astrovisualization project. For instructions on how to build and run OpenSpace, see the Getting Started Guides on the wiki page at http://docs.openspaceproject.com.
LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
📈 Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
A cross-platform visualization prototyping framework
C++ header-only graphing and data visualization with Modern OpenGL
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
Graphical tool for data manipulation written in C++/Qt.
NAP Framework: real-time control & visualization platform
A visualisation tool for the creation and analysis of graphs
A simple openGL 2D plotter for quickly updated data.
A distributed block-based data storage and compute engine
Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.
A GUI tool for easy and smooth visualisation and analysis of Spatial Transcriptomics datasets
Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
Created by Charles Joseph Minard