CallGraph Profiler

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GPU-accelerated function call graph visualization with runtime profiling for Unity.

Analyze your C# assemblies at the IL level, visualize method call relationships as an interactive graph, and overlay runtime profiling data to find performance bottlenecks.

Key Features

• Static IL Analysis — Scans assemblies via Mono.Cecil to build a complete call graph
• GPU Layout Engine — Barnes-Hut force-directed layout with community-aware clustering
• GPU Instanced Rendering — Handles 50K+ nodes with SDF circles and line edges
• Community Detection — Louvain algorithm groups related methods automatically
• Runtime Profiling — Captures Deep Profiling data during Play Mode
• Stutter Detection — Highlights methods exceeding 16ms per frame
• Interactive Navigation — Pan, zoom, search, minimap, sub-graph drill-down

Installation

Unity Package Manager (Git URL)

1. Open Window > Package Manager
2. Click + > Add package from git URL...
3. Enter:

https://github.com/ninja9998877/com.callgraph-profiler.git

Manual

Clone this repository into your project's Packages/ directory:

cd YourProject/Packages
git clone https://github.com/ninja9998877/com.callgraph-profiler.git

Requirements

• Unity 2022.3 LTS or later
• GPU with Compute Shader support (Shader Model 4.5+)

Getting Started

1. Open Window > Analysis > CallGraph Profiler
2. Select assemblies and click Analyze
3. Enter Play Mode to capture runtime data

See Documentation for full usage guide.

Architecture

Editor/
  Core/         CSR compressed sparse row graph (50K nodes + 10M edges ~ 185MB)
  Analysis/     Mono.Cecil IL static analysis + assembly watching
  Layout/       GPU Barnes-Hut force-directed + Louvain community detection
  Rendering/    GPU Instanced SDF nodes + line edges + LOD + viewport culling
  Profiling/    Unity Profiler bridge + optional IL injection
  UI/           EditorWindow + toolbar + minimap + inspector
  Shaders/      6 GPU shaders (compute + rendering)
Runtime/        IL injection probe callbacks
Tests/          30+ unit tests

License

This project is licensed under the GNU Affero General Public License v3.0.

A commercial license is available for teams that cannot comply with AGPL-3.0 requirements. Contact KachanAli for inquiries.