YAML Implementations¶
Core YAML Libraries and Tools¶
YAML has been implemented in many programming languages, providing developers with native access to YAML functionality across different platforms and ecosystems.
Official Implementations¶
libyaml¶
Language: C
Repository: yaml/libyaml
Status: Production Ready
The reference C implementation of YAML, providing fast and efficient parsing and emission capabilities.
Features: - Full YAML 1.2 compliance - High-performance parsing - Memory-efficient processing - Cross-platform compatibility - Extensive testing suite
Use Cases: - High-performance applications - System-level tools and utilities - Language bindings and wrappers - Embedded systems
PyYAML¶
Language: Python
Repository: yaml/pyyaml
Status: Production Ready
The most popular Python YAML implementation, widely used in Python ecosystems.
Features: - YAML 1.2 specification support - Safe and unsafe loading modes - Custom tag support - Comprehensive error handling - Active maintenance
Use Cases: - Python applications and scripts - Configuration management - Data processing pipelines - Web applications
go-yaml¶
Language: Go
Repository: go-yaml/yaml
Status: Production Ready
Native Go implementation providing idiomatic YAML support for Go applications.
Features: - YAML 1.2 compliance - Go-native data structures - High performance - Comprehensive testing - Active development
Use Cases: - Go applications and services - Cloud-native applications - Microservices - CLI tools
Community Implementations¶
JavaScript/Node.js¶
- js-yaml - Popular JavaScript implementation
- yaml - Modern, fast YAML parser
- yamljs - Lightweight YAML library
Java¶
- SnakeYAML - Java YAML library
- Jackson YAML - Jackson-based YAML support
- JYaml - Alternative Java implementation
Ruby¶
- psych - Native Ruby YAML implementation
- safe_yaml - Security-focused YAML parsing
.NET¶
- YamlDotNet - .NET YAML library
- SharpYaml - Alternative .NET implementation
Rust¶
- serde_yaml - Serde-based YAML support
- yaml-rust - Native Rust YAML implementation
Implementation Comparison¶
Performance¶
- libyaml - Fastest C implementation
- go-yaml - Excellent Go performance
- PyYAML - Good Python performance
- Community implementations - Varies by language
Feature Completeness¶
- Official implementations - Full YAML 1.2 support
- Community implementations - Generally good 1.2 support
- Language-specific features - Varies by implementation
Security¶
- Official implementations - Regular security updates
- Community implementations - Varies by maintainer
- YES program support - Professional security auditing
Implementation Support¶
YES Program Benefits¶
Enterprise sponsors of the YES program receive:
- Priority Support - Fast response to implementation issues
- Security Updates - Immediate patches for vulnerabilities
- Performance Optimization - Continuous improvement of implementations
- Custom Features - Development of enterprise-specific capabilities
Community Support¶
- GitHub Issues - Report bugs and request features
- Documentation - Implementation-specific guides and examples
- Forums - Community discussions and support
Choosing an Implementation¶
Language Requirements¶
- Native support - Use implementations in your primary language
- Performance needs - Consider C implementations for high-performance apps
- Platform constraints - Ensure compatibility with your deployment environment
Feature Requirements¶
- YAML version - Ensure 1.2 compliance for modern applications
- Custom tags - Check support for your specific YAML extensions
- Error handling - Evaluate error reporting and recovery capabilities
Support and Maintenance¶
- Official implementations - Professional support through YES program
- Community implementations - Community-driven support
- Update frequency - Regular security and feature updates
Future Development¶
YAML 2.0 Support¶
All official implementations will be updated to support YAML 2.0 when it's released.
Planned improvements: - Enhanced security features - Better performance characteristics - Improved error handling - Extended customization options
YES Program Influence¶
Enterprise sponsors can influence implementation priorities through:
- Feature requests - Prioritize needed capabilities
- Performance requirements - Focus on optimization areas
- Security needs - Enhance security features
- Platform support - Extend to additional platforms
Getting Help¶
Implementation Issues¶
- GitHub Issues - Report bugs and request features
- Community Forums - Get help from other users
- YES Program Support - Professional support for sponsors
Contributing¶
- Code contributions - Improve implementations
- Documentation - Help improve guides and examples
- Testing - Ensure quality and compatibility
Need help with a specific YAML implementation? Contact us for expert guidance and support.