rustyyaml 0.1.7

Fast, safe YAML parser for Python (Rust-powered)

RustyYAML 🦀

Fast, safe YAML parser for Python – A drop-in replacement for PyYAML with 10-100x performance improvement.

Features

• ⚡ 10-100x faster than pure Python PyYAML
• 🔒 100% safe by default – No code execution vulnerabilities
• 🎯 Drop-in replacement – Compatible with PyYAML API
• 🚀 Always fast – No C extension installation required
• 🧵 Parallel loading – Parse multiple files simultaneously
• 🐍 Pure Python API – Pythonic and easy to use

Installation

pip install rustyyaml

That's it! No C compiler, no build tools needed.

Quick Start

import rustyyaml as yaml

# Parse YAML string
data = yaml.safe_load("key: value")
print(data)  # {'key': 'value'}

# Load from file
with open('config.yaml') as f:
    config = yaml.safe_load(f)

# Load from Path
from pathlib import Path
config = yaml.safe_load(Path('config.yaml'))

# Parse multiple documents
docs = yaml.load_all("""
doc: 1
---
doc: 2
---
doc: 3
""")
print(len(docs))  # 3

# Batch loading (parallel) - 5-10x faster for multiple files
results = yaml.safe_load_many([yaml1, yaml2, yaml3])

# Load entire directory
configs = yaml.load_directory('./configs', recursive=True)
for filename, data in configs:
    print(f"{filename}: {data}")

Migration from PyYAML

Option 1: Replace import

# Before
import yaml

# After
import rustyyaml as yaml

# Rest of your code works unchanged!
data = yaml.safe_load("key: value")

Option 2: Use compatibility layer

# Add this line at the top of your main file
import rustyyaml.compat

# All existing code works unchanged
import yaml
config = yaml.safe_load(open('config.yaml'))

Benchmarks

Tested on Apple M2, Python 3.11, parsing a Kubernetes manifest 5000 times:

Library	Time	Speedup
PyYAML (pure Python)	12.3s	1x (baseline)
PyYAML (with LibYAML)	1.8s	6.8x
RustyYAML	0.4s	30x

Batch Loading Performance

Operation	Sequential	Parallel	Speedup
100 files	0.8s	0.2s	4x
1000 files	8.2s	1.1s	7.5x

Why RustyYAML?

The Problem

PyYAML is slow because:

1. It's written in pure Python (interpreted, not compiled)
2. It loops through every element sequentially
3. It creates intermediate Python objects during parsing
4. The C extension (LibYAML) is often missing or hard to install

The Solution

RustyYAML:

1. Written in Rust (compiled to native code)
2. Uses parallel processing for batch operations
3. Zero-copy parsing where possible
4. Always includes the fast parser (no C extension needed)
5. Pre-built wheels for all major platforms

Safety

Unlike PyYAML, RustyYAML is secure by default:

# This would execute code in PyYAML's unsafe mode
dangerous = "!!python/object/apply:os.system ['rm -rf /']"

# RustyYAML blocks it by default
yaml.safe_load(dangerous)  # Raises YAMLError: Unsafe tag detected

# Only use unsafe_load() if you completely trust the source
yaml.unsafe_load(trusted_yaml)  # Use with caution!

API Reference

Core Functions

Function	Description
safe_load(stream)	Parse YAML safely (recommended)
unsafe_load(stream)	Parse without safety checks
load(stream)	Alias for safe_load()
load_all(stream)	Parse multiple documents

File Operations

Function	Description
safe_load_file(path)	Load YAML from file path
load_all_file(path)	Load multiple documents from file

Batch Operations

Function	Description
safe_load_many(yamls)	Parse list of YAML strings in parallel
unsafe_load_many(yamls)	Parallel parsing without safety checks
load_directory(path, recursive=False)	Load all YAML files from directory

Input Types

All loading functions accept:

• str - YAML content as string
• bytes - YAML content as bytes (UTF-8)
• Path - Path to YAML file
• File objects - Open file handles

Compatibility

✅ Fully Supported

• yaml.safe_load() - Drop-in replacement
• yaml.load() - Defaults to safe mode (unlike PyYAML!)
• yaml.load_all() - Multiple document support
• yaml.YAMLError - Exception handling

⚠️ Not Yet Supported

• yaml.dump() / yaml.safe_dump() - Coming in v2.0
• yaml.YAMLObject - Custom object serialization
• Custom constructors/representers

Error Handling

from rustyyaml import YAMLError

try:
    data = yaml.safe_load(invalid_yaml)
except YAMLError as e:
    print(f"Parse error: {e}")

Development

Building from source

# Clone the repository
git clone https://github.com/yourusername/rustyaml
cd rustyaml

# Install development dependencies
pip install maturin pytest

# Build and install in development mode
maturin develop

# Run tests
pytest tests/ -v

# Run Rust tests
cargo test

# Run benchmarks
cargo bench

Project Structure

rustyaml/
├── Cargo.toml              # Rust dependencies
├── pyproject.toml          # Python packaging
├── src/                    # Rust source code
│   ├── lib.rs              # PyO3 module entry point
│   ├── parser.rs           # YAML parsing logic
│   ├── types.rs            # Type conversion
│   ├── error.rs            # Error handling
│   ├── safe.rs             # Safety filters
│   └── batch.rs            # Parallel batch loading
├── python/rustyaml/        # Python wrapper
│   ├── __init__.py         # Public API
│   └── compat.py           # PyYAML compatibility
├── tests/                  # Test suites
└── benches/                # Criterion benchmarks

Contributing

Contributions welcome! Please read our contributing guidelines before submitting a PR.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

Licensed under either of:

• Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

Acknowledgments

• Built with PyO3 - Rust bindings for Python
• Uses serde_yaml - Rust YAML parser
• Inspired by orjson and polars

Changelog

v0.1.0

• Initial release
• Core YAML parsing functionality
• PyYAML API compatibility
• Parallel batch loading
• Safety filters for dangerous tags