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FormidableLabs/victory

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11,242 स्टार्स·534 फोर्क्स·TypeScript·11 व्यूज़commerce.nearform.com/open-source/victory↗

Victory

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.

Features

  • React Charting Libraries - Provides a comprehensive set of visualization components specifically designed for the React ecosystem.
  • Interactive Data Charting - Provides tools for transforming datasets into interactive visual charts and graphs using a component-based architecture.
  • Interactive Visualization Rendering - Enables the rendering of dynamic charts and graphs that respond reactively to user input.
  • Composite Chart Construction - Allows for the construction of sophisticated visual layouts by combining modular and reusable visualization components.
  • SVG-Based Vector Rendering - Utilizes SVG-based vector rendering to ensure high-fidelity data visualizations across different screen resolutions.
  • Visualization Component Hierarchies - Implements a hierarchy of React components specifically designed to map data structures to visual chart elements.
  • Charting Frameworks - Serves as a comprehensive framework for the programmatic rendering of scalable SVG charts.
  • Visualization Primitive Toolkits - Provides a toolkit of reusable UI primitives that combine to form complex interactive data layouts.
  • Screen Space Coordinate Mappings - Translates abstract data values into precise screen pixel coordinates for consistent vector rendering.
  • Visualization Layouts - Provides a hierarchical layout architecture for independent control over the placement of visualizations, legends, and axes.
  • SVG Attribute Mappings - Maps component properties and raw data arrays directly to SVG attributes for visual rendering.
  • Cross-Platform Visualization Components - Ships a single interface for creating charts that render consistently across all major web browsers and operating systems.
  • Declarative Visualization States - Uses a declarative mapping of visual properties to state to automatically trigger re-renders when data changes.
  • Cross-Platform Rendering - Ensures a consistent visual appearance of data representations across various web browsers and operating systems.
  • Charts - Composable components for interactive data visualization.
  • Charts and Visualization - A collection of composable React components for building interactive data visualizations
  • Charts - Listed in the “Charts” section of the Awesome React awesome list.
  • Data Visualization - Data visualization library for React.
  • Framework Integrations - Composable React components for building visualizations.
  • Framework Specific Libraries - Composable React components for interactive data visualization.
  • Graphics and Animation - Composable components for interactive data visualization.
  • Graphics and Visualization - Modular charting components for React.

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Victory के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Victory के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • uber/react-visuber का अवतार

    uber/react-vis

    8,781GitHub पर देखें↗

    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

    JavaScriptchartcharting-librarydata-visualization
    GitHub पर देखें↗8,781
  • plouc/nivoplouc का अवतार

    plouc/nivo

    14,039GitHub पर देखें↗

    Nivo is a responsive charting framework and a React data visualization library that uses D3 for its underlying math logic. It serves as both a collection of interactive chart components for web applications and a server-side visualization engine for generating static data chart images. The project distinguishes itself by providing a containerized chart rendering API, allowing the visualization engine to be deployed via Docker to serve rendered graphics as images or files through a programmatic interface. It also features a motion engine for animated data transitions, ensuring smooth visual sh

    TypeScriptcanvaschartscomponents
    GitHub पर देखें↗14,039
  • airbnb/visxairbnb का अवतार

    airbnb/visx

    20,629GitHub पर देखें↗

    Visx is a collection of modular, low-level primitives designed for building custom data visualizations within a React component architecture. It functions as a toolkit for mapping data to coordinate systems and geometric shapes, allowing developers to construct bespoke charts and graphs that integrate directly into the standard component lifecycle. The library utilizes a decoupled package architecture, enabling the use of specific visualization utilities without requiring the entire framework. By leveraging established mathematical primitives for geometric calculations and functional data tra

    TypeScriptchartd3data-visualization
    GitHub पर देखें↗20,629
  • recharts/rechartsrecharts का अवतार

    recharts/recharts

    27,241GitHub पर देखें↗

    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

    TypeScriptchartcharting-librarycomponents
    GitHub पर देखें↗27,241
Victory के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

formidablelabs/victory क्या करता है?

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.

formidablelabs/victory की मुख्य विशेषताएं क्या हैं?

formidablelabs/victory की मुख्य विशेषताएं हैं: React Charting Libraries, Interactive Data Charting, Interactive Visualization Rendering, Composite Chart Construction, SVG-Based Vector Rendering, Visualization Component Hierarchies, Charting Frameworks, Visualization Primitive Toolkits।

formidablelabs/victory के कुछ ओपन-सोर्स विकल्प क्या हैं?

formidablelabs/victory के ओपन-सोर्स विकल्पों में शामिल हैं: uber/react-vis — react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable… plouc/nivo — Nivo is a responsive charting framework and a React data visualization library that uses D3 for its underlying math… airbnb/visx — Visx is a collection of modular, low-level primitives designed for building custom data visualizations within a React… recharts/recharts — This project is a declarative data visualization library that provides a composable suite of user interface components… lecho/hellocharts-android — Hellocharts-android is a data visualization library and charting framework for Android applications. It provides a… uber-common/react-vis — react-vis is a React data visualization library and declarative charting framework used to create composable graphical…