Awesome GitHub RepositoriesData Visualization

Mermaid is a text-to-diagram rendering engine that transforms markdown-inspired text definitions into visual flowcharts, sequence diagrams, and Gantt charts. It functions as a markdown-based diagramming tool designed to keep technical documentation synchronized with development by defining visuals as plain text. The engine utilizes a sandboxed rendering process, executing diagram generation inside isolated frames to prevent malicious scripts embedded in user text from executing in the browser. The system handles client-side text transformation and domain-specific language parsing to map text

ECharts is a JavaScript data visualization library and web charting framework used to render interactive 2D and 3D data plots within a web browser. It functions as a visualization engine that transforms raw data into customizable charts and graphs. The project includes a WebGL-based hardware acceleration engine specifically for producing three-dimensional plots and globe visualizations. This allows the library to handle large and complex datasets through GPU-accelerated rendering. The framework supports both canvas-based raster rendering and SVG-based vector rendering. It provides capabiliti

Leaflet is a lightweight JavaScript mapping library used to build mobile-friendly interactive maps on web pages. It functions as an open-source geospatial toolkit and web map renderer, providing the necessary tools to display geographical tiles and vector data. The framework is designed as a mobile-first map interface, ensuring that mapping experiences remain responsive and efficient across both desktop browsers and mobile devices. It enables the creation of custom map implementations and the visualization of geospatial data through the addition of markers, popups, and layers. The library co

MPAndroidChart is an Android charting library and data visualization framework that provides a set of reusable view components for rendering statistical data. It enables the display of numerical datasets through various chart types, including line, bar, pie, radar, bubble, and candlestick charts. The library focuses on an interactive graphing workflow, allowing users to explore complex data sets through scaling, panning, and animations. It includes specific support for financial charting to track market trends and price movements, as well as tools for building mobile dashboards.

Charts is a data visualization framework and charting library for iOS, tvOS, and macOS. It provides a set of graphical components used to render interactive line, bar, pie, and scatter charts to represent complex data sets. The project serves as an implementation of a charting library adapted specifically for the Apple ecosystem. It includes a rendering engine capable of plotting data points directly from database records. The framework covers a broad range of visualization capabilities, including interactive data exploration via zooming and panning gestures, visual style customization for c

This project is a declarative data visualization library that provides a composable suite of user interface components for rendering interactive charts. It functions as an SVG-based charting engine, allowing developers to construct complex visualizations by nesting modular building blocks such as axes, grids, legends, and data series within a unified layout. The library distinguishes itself through a highly responsive architecture that automatically reconciles layout changes and maps data domains to pixel coordinates using mathematical scale functions. It prioritizes performance through memoi

Victory is a React data visualization library and composable visualization toolkit used to build interactive charts and graphs. It functions as an SVG charting framework that renders scalable data visualizations designed to maintain consistency across different web browsers and operating systems. The project provides a collection of reusable UI primitives that combine to form complex interactive data layouts. This component-based approach allows for the construction of sophisticated graphs by composing modular visualization elements within React applications.

PNChart is an iOS charting framework and data visualization library designed for rendering interactive visual data representations within native Apple mobile environments. It provides a toolkit for creating animated line and pie charts to illustrate data trends and proportional datasets. The library specializes in animated data representation, using motion effects and transitions to highlight information changes over time. It supports real-time chart data updates, allowing visualizations to reflect new information dynamically without rebuilding the entire user interface. The framework covers

react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable building blocks for rendering interactive charts and graphs by mapping raw data to visual attributes such as position, color, and size. The system leverages D3 for its scaling and layout logic. The library is distinguished by its ability to handle complex data relationships, including hierarchical data via tree maps and circle packing, as well as multidimensional analysis using parallel axes and radar charts. It also supports network flow mapping to illustrate the volume and direc

js-sequence-diagrams is a JavaScript library used to generate SVG sequence diagrams from plain text descriptions. It functions as a text-to-diagram tool that transforms structured textual input into scalable vector graphics to represent system interaction flows. The library provides capabilities for system workflow visualization and technical documentation automation. It maps the communication between different components or services by converting text into visual representations of logic flows. The tool includes support for custom typeface loading to change the visual style and lettering of

litegraph.js is a JavaScript dataflow framework and visual node graph engine used to define programmable logic and data flow. It provides a node-based visual programming tool for designing complex logic through connected functional blocks. The library allows for the creation of hierarchical logic by nesting multiple nodes into recursive subgraphs. It also supports the development of custom node types with unique inputs and outputs, as well as custom widgets and live views that can hide the underlying graph structure to present a visual interface. The engine enables the execution of logic gra

Hellocharts-android is a data visualization library and charting framework for Android applications. It provides a collection of custom view components used to render datasets as visual elements, such as line, column, and pie charts. The library supports interactive visualizations that allow users to navigate data through touch gestures, including pinching, scrolling, and panning. It also includes built-in capabilities for animating data points and chart elements to create smooth visual transitions during dataset updates. The framework covers a broad range of visualization needs, including c

metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts. The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density. The system covers a broad surface of

react-chartjs-2 is a data visualization library that provides a set of React components acting as a wrapper for Chart.js. It allows for the rendering of interactive charts and graphs within a React application using a declarative approach. The library manages HTML5 canvas charting components by tying the lifecycle of Chart.js instances to the mounting and unmounting of the React component tree. It translates component props into the configuration objects required by the underlying engine to map datasets to visual elements. The project covers a range of frontend integration capabilities, incl

Mermaid Live Editor is a browser-based tool for editing and previewing Mermaid diagrams in real time. It renders diagrams entirely on the client side using the Mermaid library, with no server round-trips required, and provides a debounced live preview that updates the rendered output as you type. The editor supports sharing diagrams through URLs that encode the entire editor state, allowing instant restoration of a diagram. These links can open either a read-only viewer for lightweight display or an editable editor for collaborative modification. Diagrams can also be exported as SVG files via

WilliamChart est une bibliothèque de visualisation de données Android et une boîte à outils utilisée pour rendre des graphiques et diagrammes interactifs au sein d'applications Android. Il fonctionne comme une bibliothèque de composants d'interface utilisateur pour intégrer des tableaux de bord et des métriques pilotés par les données dans les mises en page Android. La bibliothèque inclut un composant spécialisé pour représenter des données catégorielles proportionnelles sous forme de graphiques en anneau (donut charts), qui sont des graphiques circulaires avec des centres creux. Elle fournit un moteur de dessin qui utilise des API de bas niveau pour mapper les données numériques aux coordonnées de pixels sur l'écran.

echarts-for-react est une bibliothèque de graphiques React et un composant de visualisation de données qui sert de wrapper pour la bibliothèque Apache ECharts. Il permet le rendu de visuels de données et de graphiques complexes au sein d'une architecture basée sur des composants en utilisant des configurations déclaratives. La bibliothèque fournit un mécanisme pour accéder à l'instance de visualisation sous-jacente, permettant des opérations de bas niveau telles que l'exportation d'images et le redimensionnement manuel. Elle prend également en charge la liaison de fonctions personnalisées aux événements de visualisation pour déclencher une logique d'application basée sur les interactions de l'utilisateur. L'ensemble d'outils couvre la configuration du comportement général des graphiques et les stratégies de mise à jour. Il prend également en charge l'importation uniquement de composants spécifiques pour réduire la taille globale du bundle de l'application.

Cette bibliothèque de visualisation de données C++ est un framework de traçage scientifique utilisé pour créer des graphiques 2D et 3D, des graphes de réseau et des cartes géographiques. Elle fonctionne comme une bibliothèque graphique multi-backend, découplant la logique de traçage de haut niveau des moteurs de rendu de bas niveau pour prendre en charge divers backends de sortie. Le projet se distingue par une API à double interface, fournissant à la fois une interface fonctionnelle globale pour le prototypage rapide et une interface orientée objet pour un contrôle précis. Il dispose d'un moteur de mise en page basé sur des composants pour gérer les grilles tuilées et les sous-graphiques, ainsi qu'un état de tracé en couches qui permet de superposer plusieurs séries de données sans effacer les axes. La bibliothèque couvre un large éventail de capacités de visualisation, incluant le traçage de fonctions mathématiques, les champs vectoriels et l'analyse de données multidimensionnelles via des cartes thermiques et des coordonnées parallèles. Elle inclut des outils spécialisés pour la visualisation de données géographiques, tels que les graphiques geobubble et geodensity, ainsi que des outils pour le rendu de réseaux de graphes dirigés et non dirigés. Les capacités générales incluent la gestion des axes, le stylisme esthétique avec des colormaps et l'exportation de graphiques de haute qualité. Le projet utilise CMake pour l'automatisation de la construction et la récupération des dépendances afin de faciliter l'installation sur différents systèmes d'exploitation.

matplotlib-cpp est une bibliothèque C++ header-only et un wrapper qui permet la création de visualisations 2D et 3D en appelant des fonctions Matplotlib directement depuis du code C++. Il sert d'interface de traçage pour générer des graphiques en courbes, des graphiques en barres et des graphiques de surface en utilisant un backend basé sur Python. La bibliothèque est conçue comme une intégration légère qui fournit des capacités de traçage sans nécessiter un processus de build complexe ou des binaires compilés. Elle couvre une gamme de capacités de visualisation, incluant le rendu de données multidimensionnelles, le tracé de champs vectoriels et l'agencement de multiples sous-graphiques. La boîte à outils prend également en charge la production d'animations dynamiques et l'exportation des visualisations générées sous forme de fichiers image.