JSON ⇄ YAML Converter
JSON and YAML: Fundamentals and Practice
JSON: Key Features and Use Cases
- JSON (JavaScript Object Notation) is a lightweight text format for data exchange.
- Supports only arrays and objects, with numbers, strings, booleans, and null values.
- Strict syntax (e.g., keys must be double-quoted, no comments allowed).
- Widely used for API communication, web app configs, and data storage.
- Supported natively in most languages, making parsing and generation fast and reliable.
YAML: Key Features and Use Cases
- YAML (YAML Ain't Markup Language) is a human-friendly data serialization format.
- Uses indentation for hierarchy, allows comments, and supports complex structures (anchors, aliases, etc.).
- Popular for config files, CI/CD pipelines, and infrastructure as code (e.g., Kubernetes).
- More flexible than JSON, but less strict—beware of type coercion and indentation errors.
Best Practices for Engineers
- Use JSON for strict, machine-to-machine data exchange and API payloads.
- Choose YAML for human-edited configs or when readability and flexibility are important.
- YAML can represent JSON, but YAML-specific features (like anchors) cannot be converted to JSON.
- Always validate and lint your files to avoid subtle bugs due to syntax or indentation mistakes.
Learning Tips
- Understand the syntax and limitations of both JSON and YAML to choose the right tool for the job.
- In real-world engineering, troubleshooting API responses and config files often requires both skills.
- Refer to official specs and use linting tools to prevent errors and improve code quality.