@antv/x6 vs mxgraph vs jointjs
Graph Visualization Libraries Comparison
1 Year
@antv/x6mxgraphjointjs
What's Graph Visualization Libraries?

Graph visualization libraries are essential tools for creating, manipulating, and rendering diagrams and graphs in web applications. They provide a range of features for building interactive and dynamic visual representations of data, enabling developers to create complex visualizations such as flowcharts, organizational charts, and network diagrams. These libraries often come with built-in support for user interactions, animations, and customizable styles, making them suitable for various applications, from data analysis to user interface design.

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@antv/x641,2915,9174.74 MB470a year agoMIT
mxgraph27,7616,850-04 years agoApache-2.0
jointjs19,0964,8278.26 MB39a year agoMPL-2.0
Feature Comparison: @antv/x6 vs mxgraph vs jointjs

Rendering Performance

  • @antv/x6:

    @antv/x6 is designed for high performance, utilizing a virtual DOM and optimized rendering techniques to handle large graphs efficiently. It supports WebGL rendering for complex visualizations, ensuring smooth interactions even with a high number of nodes and edges.

  • mxgraph:

    mxGraph is known for its solid performance, particularly in handling complex diagrams. It uses a canvas-based rendering approach, which can be more efficient for large graphs compared to SVG, but may require more manual handling of interactions.

  • jointjs:

    JointJS offers good rendering performance for medium-sized diagrams. It uses SVG for rendering, which allows for high-quality graphics but may face performance issues with very large datasets. Optimizations can be implemented for better performance in specific use cases.

Customization and Extensibility

  • @antv/x6:

    @antv/x6 provides extensive customization options, allowing developers to define custom shapes, styles, and behaviors. Its modular architecture supports plugins, making it easy to extend functionality and integrate with other libraries or frameworks.

  • mxgraph:

    mxGraph offers a wide range of customization options, including the ability to create custom shapes and styles. However, its extensibility may require more effort compared to @antv/x6 and JointJS, as it often involves deeper integration with the library's core.

  • jointjs:

    JointJS is highly customizable, enabling users to create custom shapes and connectors easily. It also supports extensions through plugins, allowing developers to enhance its capabilities for specific use cases, such as adding new interaction types or visual styles.

User Interaction

  • @antv/x6:

    @antv/x6 excels in user interaction, providing built-in support for drag-and-drop, zooming, and panning. It also includes event handling for user actions, making it easy to create interactive applications that respond to user input.

  • mxgraph:

    mxGraph provides comprehensive user interaction capabilities, including drag-and-drop, resizing, and context menus. It allows for detailed control over user interactions, making it suitable for applications that require fine-tuned user experiences.

  • jointjs:

    JointJS offers robust support for user interactions, including drag-and-drop functionality and customizable event handling. It allows developers to create interactive diagrams that can be manipulated by users, making it suitable for applications like workflow editors.

Learning Curve

  • @antv/x6:

    @antv/x6 has a moderate learning curve, especially for developers familiar with modern JavaScript frameworks. Its extensive documentation and examples help ease the onboarding process, but mastering its full capabilities may take time.

  • mxgraph:

    mxGraph has a steeper learning curve due to its extensive feature set and less intuitive API. While it offers powerful capabilities, new users may find it challenging to navigate its complexities without thorough documentation.

  • jointjs:

    JointJS is relatively easy to learn, with clear documentation and examples that help new users get started quickly. Its API is straightforward, making it accessible for developers with varying levels of experience.

Integration and Compatibility

  • @antv/x6:

    @antv/x6 is designed to integrate seamlessly with modern web frameworks like React, Vue, and Angular, making it a versatile choice for contemporary web applications. Its API is also compatible with various data formats, enhancing its usability across different projects.

  • mxgraph:

    mxGraph is highly compatible with a wide range of technologies and can be used in various environments, including desktop and mobile applications. However, its integration with modern frameworks may require additional effort compared to more contemporary libraries.

  • jointjs:

    JointJS can be integrated with various frameworks and libraries, including Backbone.js and jQuery. Its flexibility allows for easy incorporation into existing applications, making it a good choice for projects that require compatibility with other tools.

How to Choose: @antv/x6 vs mxgraph vs jointjs
  • @antv/x6:

    Choose @antv/x6 if you need a modern, high-performance library that supports complex graph structures and provides extensive customization options. It is particularly well-suited for applications requiring real-time updates and interactive features, thanks to its efficient rendering engine and support for various layout algorithms.

  • mxgraph:

    Opt for mxGraph if you need a robust and mature library that provides a comprehensive set of features for creating and manipulating diagrams. It is particularly useful for applications that require extensive diagramming capabilities, including support for complex shapes and a wide range of export options.

  • jointjs:

    Select JointJS if you are looking for a versatile library that excels in creating interactive diagrams and offers a rich set of features for building custom shapes and connectors. It is ideal for applications that require a balance between simplicity and functionality, especially in scenarios involving workflow and process modeling.

README for @antv/x6

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