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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.