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G6 Graph Visualization Engine

repository·v5·Indexed 11 days ago

https://github.com/antvis/g6

A professional graph visualization engine written in TypeScript for drawing, layout, analysis, interaction, and animation of relational data. G6 supports 3D features via @antv/g6-extension-3d, React-based nodes via @antv/g6-extension-react, and server-side rendering (SSR) via @antv/g6-ssr for exporting graphs as SVG or PDF.

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What's inside G6

  1. Overview of AntV G6

    v5

    AntV G6 is a graph visualization engine designed for developers to build professional, reliable, and highly customizable graph visualizations. It provides a comprehensive set of capabilities including:

    • Graph Rendering: Built-in support for over 10+ elements to meet common visualization needs.
    • Flexible Interaction: Over 10+ built-in interactions that can be freely combined for different scenarios.
    • High-Performance Layouts: Over 10+ common graph layout algorithms, with support for WebGPU and WASM acceleration.
    • Theming: Multiple color themes suitable for various application scenarios.
    • 3D Capabilities: Support for 3D elements and layouts to create immersive graph visualization scenes.
    • High Customizability: Elements, layouts, interactions, and plugins are all fully customizable to support unique creative requirements.

  2. Overview of G6 features

    v5

    G6 is a professional graph visualization engine providing core capabilities for graph drawing, layout, analysis, interaction, animation, themes, and plugins. Key features include:

    • Rich Elements: Built-in nodes, edges, and Combo UI elements with flexible styling and custom element extension.
    • Controllable Interaction: Over 10 built-in interaction behaviors and a rich event system.
    • High-Performance Layout: Over 10 common layouts, including some powered by GPU or Rust for parallel computation.
    • Convenient Components: Optimized built-in components that are easily extensible.
    • Multi-Theme Palettes: Built-in light and dark themes, plus support for 20+ community color palettes.
    • Multi-Environment Rendering: Supports Canvas, SVG, and WebGL via the G engine, as well as Node.js server-side rendering. WebGL-based plugins provide 3D rendering and spatial interaction.
    • React Ecosystem: Supports React nodes to enrich visual styles using the React ecosystem.

  3. Overview of G6 Data Operations

    v5
    G6 provides a comprehensive API for managing the complete lifecycle of graph data. This includes querying existing data, modifying the graph structure, and updating data properties. The API allows you to interact with various data levels including the entire graph, individual nodes, edges, combos, and elements.

  4. Overview of G6 Layout Types

    v5

    G6 provides a wide variety of layout algorithms to arrange graph elements (nodes and edges) according to specific rules. Layouts can be categorized by their mathematical models, such as force-directed, grid, or hierarchical (tree) layouts.

    Available Layout Types:

    • Hierarchical/Tree Layouts (for tree structures): CompactBoxLayout, DendrogramLayout, MindmapLayout, IndentedLayout.
    • Force-Directed Layouts: D3ForceLayout, D3Force3DLayout, ForceLayout, ForceAtlas2Layout, FruchtermanLayout.
    • Circular/Radial Layouts: CircularLayout, ConcentricLayout, RadialLayout.
    • Directed Acyclic Graph (DAG) Layouts: DagreLayout, AntVDagreLayout.
    • Grid & Geometric Layouts: GridLayout, SnakeLayout, FishboneLayout.
    • Other Specialized Layouts: ComboCombinedLayout (for combos), MDSLayout (dimensionality reduction), RandomLayout.

    Note: Layout configuration fields are aligned with @antvis/layout. In addition to algorithm-specific parameters, you should consider common configuration fields like width, height, center, enableWorker, node, and edge.

  5. Overview of Graph Layouts in G6

    v5

    Graph layout in G6 is the process of arranging graph elements (nodes and edges) based on specific rules. G6 provides various algorithms categorized by their structural approach:

    • Tree Layouts (for hierarchical structures): CompactBoxLayout, DendrogramLayout, MindmapLayout, and IndentedLayout.
    • Force-directed Layouts: D3ForceLayout, ForceLayout, ForceAtlas2Layout, FruchtermanLayout, and D3Force3DLayout.
    • Other Layouts: CircularLayout, GridLayout, RadialLayout, RandomLayout, SnakeLayout, DagreLayout, MDSLayout, and more.

    Starting from version 5.1, layout configurations align with @antv/layout. In addition to algorithm-specific parameters, you can use common options like width, height, center, enableWorker, node, and edge.

  6. What is AntV G6?

    v5

    AntV G6 is a graph visualization engine designed for drawing, layout, analysis, interaction, and animation of graphs. It is built to be highly customizable and professionally reliable, offering a suite of tools for complex graph visualization development.

    Key capabilities include:

    • Rich Elements: Over 10 built-in elements for common graph scenarios.
    • Flexible Interactions: Over 10 built-in interactions that can be combined.
    • High-Performance Layouts: 10+ common layouts with support for WebGPU and WASM computational acceleration.
    • 3D Scenes: Support for 3D elements and layouts for immersive visualizations.
    • High Customizability: Full extensibility for elements, layouts, interactions, and plugins.

  7. Manage element states, visibility, and position in G6

    v5

    The Element Operation API in G6 provides methods to control the behavior and visual attributes of graph elements like nodes, edges, and Combos. You can use these APIs for:

    • State Management: Setting, updating, or removing element states (e.g., for hover or selection effects).
    • Display Control: Managing zIndex and visibility.
    • Layout & Position: Moving, aligning, or retrieving element positions and render bounds.
    • Interaction: Collapsing/expanding elements or focusing the viewport on specific elements.

  8. What is a Palette in G6

    v5

    A Palette is a predefined set of colors used to map data values to visual colors for elements like nodes and edges. There are two types of palettes:

    1. Discrete Palette: An array of colors used to map discrete values (e.g., node types or edge relationships) to different colors. Example: ['#5B8FF9', '#61DDAA', '#F6BD16']

    2. Continuous Palette: An interpolator function that takes a value between 0 and 1 and returns a color. This is used for mapping continuous values (e.g., node degree or edge weight). Example: (value: number) => rgb(${value * 255}, 0, 0)``

    Note: When registering a palette, G6 does not distinguish between discrete and continuous types; you must ensure the palette type matches your data type during usage.

  9. What is a G6 theme and how to define one

    v5

    In G6, a theme is a subset of Graph Options used to define canvas and element styles. It allows you to quickly switch between different visual styles for your graph.

    A theme configuration object includes the following keys:

    • background: The canvas background color.
    • node: Node styles.
    • edge: Edge styles.
    • combo: Combo styles.

    Constraints:

    • Element style configurations are static. You cannot use callback functions to dynamically calculate styles (e.g., fill: (d) => d.color is not supported).
    • The type property is not supported within a theme configuration.
    • State Styles Warning: When defining element state styles (like selected), ensure every property in the state style has a corresponding property in the default style. If a property is missing from the default style, G6 may be unable to clear the state style when the element returns to its default state.
    const theme = {
  background: '#fff',
  node: {
    style: {
      fill: '#e1f3fe',
      lineWidth: 0,
    },
    selected: {
      style: {
        fill: '#3b71d6',
        lineWidth: 1,
      },
    },
  },
  edge: {
    // ...
  },
  combo: {
    // ...
  },
};

  10. What is a G6 Graph?

    v5

    In G6, a Graph is understood through three lenses:

    1. Conceptually: A mathematical data structure from Graph Theory composed of nodes (vertices) and edges (links) representing pairwise relationships.
    2. Visually: A figure composed of graphical elements that represent those nodes and edges.
    3. Implementation: A class capable of transforming graph data into a graphical display.

    G6 provides a universal representation that can depict various graph types, including:

    • Directed vs. Undirected: Controlled by the start and end points of edges.
    • Weighted vs. Unweighted: Controlled by the weight data property on edges.
    • Simple vs. Multigraph: Controlled by the uniqueness of edges.
    • Other types like Cyclic/Acyclic, Connected/Disconnected, and Sparse/Dense graphs can also be represented.

  11. What is Force-directed Layout

    v5

    Force-directed layout is a graph layout algorithm based on physical simulation. It determines node positions by simulating attraction and repulsion forces between nodes, treating nodes as physical particles and edges as springs. The system automatically calculates and adjusts positions to maintain appropriate distances and minimize edge crossings, eventually reaching its lowest energy state.

    Key benefits include:

    • Automatic Arrangement: No manual positioning required.
    • Real-time Adjustment: Nodes react to user interactions (like dragging) in real-time.
    • Animation: Smooth transitions during movement.
    • Flexible Configuration: Control over attraction, repulsion, edge lengths, and node overlap.

  12. What is Data Processing (Transform) in G6

    v5

    Data Processing (Transform) is a powerful feature in G6 that allows you to manipulate and transform data during the graph rendering process. This enables you to modify the final visual result without mutating the original data source.

    Common use cases include:

    • Data Filtering: Selecting specific nodes and edges to display based on conditions.
    • Data Calculation: Generating new attributes (e.g., calculating node size based on connectivity) without polluting the original data.
    • Data Aggregation: Aggregating large numbers of nodes into fewer nodes to improve performance for large-scale graphs.