Dependency Graph

Why this matters

In real projects, files are not isolated. A change in one file can affect many others.

Without a graph:

• You manually trace imports
• You miss hidden dependencies
• Refactoring becomes risky

With a graph:

• You see relationships instantly
• You understand structure at a glance
• You make safer changes

Example

If your project looks like this:

• A depends on B
• B depends on C

Changing C can impact both B and A.

Code Analyzer visualizes this directly in the dashboard.

How Code Analyzer builds it

During analysis:

1. Parses each file
2. Extracts import/export statements
3. Maps relationships between files
4. Constructs a graph structure

In the dashboard

You will see:

• Nodes → individual files
• Edges → import relationships
• Highlighted paths → dependency chains

You can:

• Click a node to inspect a file
• Trace dependencies forward and backward
• Identify central or critical files

What to look for

When exploring the graph, focus on:

• Highly connected files (possible bottlenecks)
• Deep dependency chains
• Circular dependencies (if any)

Common use cases

• Understanding unfamiliar codebases
• Debugging unexpected behavior
• Refactoring large modules safely

Next step

Learn how complexity is calculated →