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 是一个 Android 数据可视化库和工具包，用于在 Android 应用中渲染交互式图表和图形。它作为一个 UI 组件库，用于将数据驱动的仪表板和指标集成到 Android 布局中。 该库包含一个专门用于将比例分类数据表示为圆环图（donut charts，即带有空心圆的圆形图表）的组件。它提供了一个绘图引擎，使用底层 API 将数值数据映射到屏幕上的像素坐标。

echarts-for-react 是一个 React 图表库和数据可视化组件，作为 Apache ECharts 库的包装器。它允许在基于组件的架构中使用声明式配置来渲染复杂的数据可视化和图表。 该库提供了一种访问底层可视化实例的机制，从而实现图像导出和手动调整大小等底层操作。它还支持将自定义函数绑定到可视化事件，以根据用户交互触发应用程序逻辑。 该工具集涵盖了通用图表行为配置和更新策略。它还支持仅导入特定组件以减小整体应用程序包的大小。

这个 C++ 数据可视化库是一个科学绘图框架，用于创建 2D 和 3D 图表、网络图和地理地图。它作为一个多后端图形库运行，将高级绘图逻辑与低级渲染引擎解耦，以支持各种输出后端。 该项目以其双接口 API 脱颖而出，既提供用于快速原型的全局函数接口，也提供用于精确控制的面向对象接口。它具有一个用于管理平铺网格和子图的基于组件的布局引擎，以及一个允许在不清除坐标轴的情况下叠加多个数据系列的层级绘图状态。 该库涵盖了广泛的可视化功能，包括数学函数绘图、向量场，以及通过热力图和平行坐标进行的多维数据分析。它包括用于地理数据可视化的专用工具（如地理气泡图和地理密度图），以及用于渲染有向和无向图网络的工具。通用功能包括坐标轴管理、带有色图的美学样式，以及高质量图形的导出。 该项目利用 CMake 进行构建自动化和依赖检索，以促进在不同操作系统上的安装。

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.