vasturiano/force-graph
2,051 stele·280 fork-uri·JavaScript·MIT·3 vizualizărivasturiano.github.io/force-graph/example/directional-links-particles↗
Force Graph
This project is a high-performance library for rendering interactive, force-directed network visualizations within an HTML5 canvas. It provides a physics-based engine that calculates node positioning through simulated attraction and repulsion forces, enabling the representation of complex relational data structures as dynamic, navigable graphs.
The library distinguishes itself through its ability to handle large-scale datasets containing thousands of nodes and links while maintaining interface responsiveness. It offers granular control over the visual representation of data, allowing for custom styling of nodes and links through images, labels, and geometric shapes, as well as the animation of directional flow along connections.
Users can organize network structures using various algorithmic strategies, including hierarchical, tree, and radial layouts. The tool includes a comprehensive interaction layer that supports panning, zooming, and focus-based navigation, alongside event handling for selecting and manipulating individual graph entities. It manages the rendering lifecycle and coordinate system translations to ensure visual accuracy and performance during complex layout transitions.
Features
- Directed Graph Visualization - Renders interactive, force-directed network visualizations on a canvas to represent complex relational data structures.
- Force-Directed Layouts - Provides a high-performance library for rendering interactive, force-directed network visualizations within an HTML5 canvas.
- Force-Directed Topology Graphs - Visualizes complex network relationships on a canvas using a physics-based simulation engine.
- Immediate Mode Canvas Renderers - Implements high-performance immediate-mode rendering directly onto an HTML5 canvas for smooth network visualizations.
- HTML5 Canvas Libraries - Ships a high-performance library for rendering large-scale network structures using physics-based simulations and canvas-based drawing.
- Force-Directed Layout Physics - Calculates node positions using iterative attraction and repulsion forces to simulate dynamic physical systems.
- Graph Interactions - Provides interactive navigation controls including panning, zooming, and focus-based interaction for exploring complex network graphs.
- Interactive Network Exploration - Enables interactive exploration of complex relational datasets through physics-based graph manipulation.
- Graph Layout Configurators - Allows applying custom constraints and directional hierarchies to organize graph structures automatically.
- Graph Rendering Lifecycle Controls - Controls the rendering lifecycle by pausing or resuming updates and fitting layouts to the viewport to maintain interface performance.
- Graph Layout Algorithms - Enables node arrangement using specific algorithms like tree hierarchies or directed acyclic layouts to improve visual clarity.
- Coordinate and Viewport Transformations - Manages rendering loops and coordinate transformations to ensure performance during zooming, panning, and layout transitions.
- Large Scale Graph Rendering - Optimizes canvas drawing techniques to maintain responsiveness when rendering massive datasets with thousands of nodes.
- Node Appearance - Enables custom visual representation of nodes using images, labels, and geometric shapes to distinguish data entities.
- Viewport Coordinate Mappings - Translates between abstract graph domain coordinates and screen-space pixels to enable accurate interaction and viewport navigation.
- Network Graph Layouts - Organizes complex network data into structured tree or radial patterns to clarify information flow.
- Directed Graph Layouts - Supports arranging nodes in directed structures using top-down, bottom-up, or radial patterns.
- Graph Simulation Tuners - Provides controls for adjusting physical properties like charge and velocity to influence graph element movement.
- Data-Driven Node Styling - Allows custom visual identities for nodes and links using images, labels, and shapes to distinguish data types.
- Data Visualization Components - Provides a web-based interface for exploring hierarchical and relational datasets with support for zooming, panning, and custom styling.
- Event-Driven Interaction Handlers - Captures and normalizes pointer inputs to map screen-space gestures to specific graph entities for selection and manipulation.
- Graph Link Styling - Provides accessor functions and callbacks for granular visual styling of nodes and links within the graph.
- Data-Driven Graph Styling - Provides functional callbacks to dynamically style nodes and links based on data attributes during the render loop.
- Viewport Navigation Controls - Provides panning, zooming, and focus-based navigation tools for exploring large visual datasets.
