6 个仓库
Rendering container and process relationships as interactive force-directed graphs with live connections.
Distinct from Graph Node Visualizations: Distinct from Graph Node Visualizations: focuses on force-directed layout for container topology, not general graph rendering.
Explore 6 awesome GitHub repositories matching graphics & multimedia · Force-Directed Topology Graphs. Refine with filters or upvote what's useful.
3d-force-graph is a WebGL-accelerated component for rendering interactive network graphs in three-dimensional space. Built on the ThreeJS library, it positions nodes using a force-directed physics simulation that can be driven by either a D3-force or ngraph engine, producing dynamic layouts that users can rotate, zoom, and pan using mouse, keyboard, or touch controls. The component distinguishes itself through comprehensive camera control capabilities, including programmatic positioning, animated transitions, automatic timed orbiting, and zoom-to-fit functionality that frames all nodes within
A ThreeJS-based component that renders interactive network graphs in 3D space with physics-driven node positioning.
Renders an interactive force-directed graph of containers and their live connections.
Orchestrator 是一个用于 MySQL 数据库集群的高可用系统和复制管理器。它作为一个故障转移自动化工具和拓扑可视化器,旨在检测主库故障并提升备用副本,以最大限度地减少系统停机时间。 该项目专注于管理和重新配置 MySQL 复制拓扑,以维护一致的数据分布。它利用拓扑发现爬虫来映射复制结构,并识别数据库集群中的活动故障。 该系统提供了自动化集群恢复、位置感知实例跟踪和基于约束的拓扑重配置功能。它还维护状态记录的审计日志,以跟踪历史拓扑变更和故障转移事件。
Builds and displays a directed graph representing the current replication hierarchy and data flow.
MySQL replication topology management and HA
Renders interactive graphs of MySQL replication topologies for real-time monitoring and manual topology changes.
Freelens 是一个用于 Kubernetes 集群管理与监控的图形化 Web 仪表盘。它提供了一个用于管理容器编排环境的集中式界面,具备用于同时查看多个 Pod 日志的日志聚合器、通过力导向图映射系统依赖关系的资源可视化工具,以及用于审查漏洞报告与证书过期日期的安全审计器。 该项目集成了生成式人工智能操作员,以自动化复杂的管理任务并将请求转换为集群配置。它进一步通过插件式架构脱颖而出,允许添加自定义管理视图与外部模块。 该平台涵盖了广泛的运营能力,包括安全审计、资源依赖映射以及容器镜像更新管理。它还包含用于集成外部编排工具的接口,以便从集中控制点同步集群状态。
Visualizes complex resource dependencies using real-time force-directed graphs to map container topology.
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 cust
Visualizes complex network relationships on a canvas using a physics-based simulation engine.