DependencyTracker is a Java developer tool that analyzes application dependencies and visualizes class-level and package-level relationships as an interactive graph. A key feature of the library is its ability to automatically initialize and start the application even when startup errors occur, enabling developers to inspect dependency issues, detect circular references, and debug architecture problems without blocking the application lifecycle.
DependencyTracker is an interactive web-based application designed to analyze, visualize, and explore dependencies within large-scale software systems. The project helps developers and architects clearly understand how different modules, classes, or services are interconnected, enabling better design decisions, faster debugging, and improved system maintainability.
In modern applications—especially microservices and layered architectures—dependencies often become complex and hard to track. Circular dependencies, missing references, and tightly coupled components can lead to runtime failures, poor scalability, and difficult refactoring. Traditional static analysis tools often present this information in text-heavy or non-intuitive formats.
DependencyTracker solves this problem by transforming raw dependency data into an interactive visual graph, making relationships immediately understandable.
Visual Dependency Graph
Uses a node-and-edge based graph to represent components and their dependencies.
Each node represents a class/module/service.
Directed edges represent dependency relationships.
Interactive Exploration
Click on any node to open a side panel displaying detailed information.
Highlights dependencies, used-by relationships, and metadata.
Hover effects to visually trace connected components.
Missing & Circular Dependency Detection
Automatically identifies missing dependencies and visually marks them.
Circular dependencies are easily detectable through graph traversal.
Dynamic Styling & UX
Color-coded nodes and edges for better clarity.
Selected nodes and edges are highlighted for focused analysis.
Smooth animations and layout transitions for better user experience.
Scalable Graph Layout
Supports multiple layout algorithms (force-based, circular, concentric).
Automatically adjusts layout based on graph size and complexity.
One of the key strengths of DependencyTracker is its fault-tolerant dependency analysis capability. Unlike traditional tools that fail or stop processing when the application contains errors, DependencyTracker is designed to continue working even when the codebase is broken or incomplete.
Works with Partially Broken Code
The system does not rely on successful application startup or compilation.
Even if the project contains runtime errors, missing classes, or misconfigured beans, dependency relationships can still be analyzed and visualized.
Graceful Handling of Missing Dependencies
When a dependency is referenced but not found, the tool does not crash.
Missing components are clearly marked in the graph using visual cues (such as distinct colors or dashed edges), helping developers instantly identify problem areas.
Early Detection of Critical Issues
Highlights broken links, circular dependencies, and unresolved references before runtime.
Enables developers to fix architectural problems early in the development cycle.
Debugging Without Running the App
Developers can inspect dependency flow without starting the server or application.
This is especially useful when the app fails during startup due to configuration or wiring issues.
Improves Recovery Time
Instead of manually scanning logs or stack traces, developers get a visual map of what is broken and where.
Reduces downtime and speeds up root-cause analysis.
In real-world projects, applications often fail during development due to:
Incomplete implementations
Refactoring in progress
Broken imports or deleted modules
Incorrect dependency injection
DependencyTracker ensures that architectural visibility is never lost, even in these unstable states. This makes it a powerful tool not only for development, but also for maintenance, refactoring, and debugging large legacy systems.
Angular for modular and scalable UI architecture
Tailwind CSS for modern, responsive, and customizable UI design
Cytoscape.js for high-performance graph rendering and interaction
State-driven side panel UI for real-time node inspection
Dependency data is ingested in JSON format
Transformed into graph elements (nodes and edges)
Optimized to avoid duplicate nodes and redundant edges
Cytoscape styles define:
Node shapes, colors, labels, shadows
Edge arrows, curves, and animations
Interactive event handling for:
Node selection
Hover-based neighborhood highlighting
Understanding large Spring Boot / Java project structures
Detecting tight coupling and architectural smells
Visualizing service-to-service dependencies in microservices
Assisting onboarding of new developers
Supporting refactoring and system redesign efforts
Improves codebase readability
Reduces debugging and analysis time
Encourages clean architecture practices
Makes dependency analysis intuitive and visual
Scales well with growing projects
Backend-powered static code analysis
Real-time dependency updates
Export graph as image or JSON
Dependency impact analysis
Integration with build tools and CI pipelines