Unity Asset Parser
A Rust implementation of Unity asset parsing, inspired by and learning from UnityPy. This project focuses on parsing Unity YAML and binary formats with Rust's memory safety and performance characteristics.
🎯 Project Status
⚠️ Early Development: This is a learning project and reference implementation. It is not production-ready and has significant limitations compared to mature tools like UnityPy.
What This Project Is
- 📚 Learning Exercise: Understanding Unity's file formats through Rust implementation
- 🔍 Parser Focus: Emphasis on parsing and data extraction rather than manipulation
- 🦀 Rust Exploration: Exploring how Rust's type system can help with binary parsing
- 📖 Reference Implementation: Code that others can learn from and build upon
What This Project Is NOT
- ❌ UnityPy Replacement: UnityPy remains the most mature Python solution
- ❌ Asset Editor: This is a read-only parser, not an asset creation/editing tool
🏗️ Architecture
The project uses a workspace structure to organize different parsing capabilities:
unity-asset/
├── unity-asset-core/ # Core data structures and traits
├── unity-asset-yaml/ # YAML file parsing (complete)
├── unity-asset-binary/ # Binary asset parsing (complete)
├── unity-asset-lib/ # Main library crate (published as `unity-asset`)
├── unity-asset-cli/ # CLI tools
│ ├── main.rs # Synchronous CLI tool
│ └── main_async.rs # Asynchronous CLI tool (--features async)
├── examples/ # Usage examples and demos
└── tests/ # Integration tests and sample files
Current Capabilities
🔧 YAML Processing (Complete)
- Unity YAML format parsing for common file types (.asset, .prefab, .unity)
- Multi-document parsing support
- Reference resolution and cross-document linking
- Filtering and querying capabilities
- Serialization back to YAML format
🔧 Binary Asset Processing (Advanced)
- AssetBundle structure parsing (UnityFS format)
- SerializedFile parsing with full object extraction
- TypeTree structure parsing and dynamic object reading
- Compression support (LZ4, LZMA, Brotli)
- Metadata extraction and dependency analysis
- Performance monitoring and optimization
🔧 Object Processing (Production Ready)
- AudioClip: Full format support (Vorbis, MP3, WAV, AAC) with Symphonia decoder
- Texture2D: Complete parsing + basic format decoding + PNG export
- Sprite: Full metadata extraction + atlas support + image cutting
- Mesh: Structure parsing + vertex data extraction + basic export
- GameObject/Transform: Hierarchy parsing and relationship mapping
🔧 CLI Tools (Feature Complete)
- Synchronous CLI for file inspection and batch processing
- Asynchronous CLI with concurrent processing and progress tracking
- Export capabilities (PNG, OGG, WAV, basic mesh formats)
- Comprehensive metadata analysis and reporting
- Basic progress reporting
⚠️ Known Limitations
- Some advanced Unity asset types not yet implemented (MonoBehaviour scripts, complex shaders)
- Object manipulation is read-only (no writing back to Unity formats)
- Some edge cases in LZMA decompression may fail on corrupted data
- Advanced texture formats require
texture-advanced
feature (DXT, ETC, ASTC) - Audio decoding requires
audio
feature for Symphonia integration - Large file performance could be optimized further
- Error messages could be more user-friendly
🚀 Quick Start
Installation
Note: This project will be published to crates.io soon. For now, to try it out:
# Clone and build from source
# Build the library
# Try the CLI tools
Once published, you'll be able to install it with:
# Add to your Cargo.toml
[]
= "0.1.0"
# Install CLI tools
Testing Status
We have basic tests for core functionality, but this is not a comprehensive test suite. Some tests pass, others reveal limitations in our implementation.
Comparison with UnityPy
UnityPy is a mature, feature-complete Python library for Unity asset manipulation. This Rust project is:
- Much less mature: UnityPy has years of development and community contributions
- More limited: We focus on parsing, not manipulation or export
- Learning-oriented: This project helps understand Unity formats through Rust
- Experimental: Many features are incomplete or missing
If you need a production tool for Unity asset processing, use UnityPy instead.
📝 Basic Usage Examples
YAML File Parsing
use ;
// Load a Unity YAML file
let doc = load_yaml?;
// Get basic information
println!;
// Try to find specific objects (may not work for all files)
if let Ok = doc.get
CLI Usage
# Parse a single YAML file
# Try async processing (experimental)
🏗️ Architecture Details
This project is organized as a Rust workspace with separate crates for different concerns:
unity-asset-core
: Core data structures and traitsunity-asset-yaml
: YAML format parsingunity-asset-binary
: Binary format parsing (AssetBundle, SerializedFile)unity-asset-lib
: Main library crate (published asunity-asset
)unity-asset-cli
: Command-line tools (published asunity-asset-cli
)
🙏 Acknowledgments
This project is a learning exercise inspired by and learning from several excellent projects:
UnityPy by @K0lb3
- The gold standard for Unity asset manipulation
- Our primary reference for understanding Unity formats
- Test cases and expected behavior patterns
unity-rs by @yuanyan3060
- Pioneering Rust implementation of Unity asset parsing
- Architecture and parsing technique inspiration
- Binary format handling examples
unity-yaml-parser by @socialpoint-labs
- Original inspiration for this project
- YAML format expertise and reference resolution patterns
- Clean API design principles
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.