🔬 Go YAML research

Research YAML parsers written on Go.

Motivation

In developing ✨Sparkle, I've encountered a need to select an appropriate library for handling YAML data because it is a format of frontmatter¹.

Deterministic serialization/deserialization: The library must ensure deterministic outcomes in serialization and deserialization processes. Given the same input, the library should consistently produce the same output every time, ensuring predictability and reliability in processing data.
Support for complex data types: The library must be able to handle complex data types. This includes basic types and more intricate structures such as nested objects, arrays, and custom types. Such support is essential for dealing with diverse data formats and systems typically encountered in YAML files.
Concise and user-friendly API: The library should offer a straightforward and intuitive API. This will facilitate ease of use and enable developers to perform tasks with minimal code, enhancing productivity and reducing the learning curve. A well-designed API makes it easier to implement YAML processing functionalities without delving into unnecessary complexities.
No runtime panics: Stability is a crucial requirement, and the library should be designed to avoid runtime panics. It should handle errors gracefully and provide clear error messages, allowing for robust error handling by the developer. Ensuring the library operates smoothly under various scenarios and inputs is vital to maintaining the overall reliability of the application.

Interim results or a detailed follow-up.²

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Frontmatter is YAML that you can add to the front of your Markdown file. It was first introduced by Jekyll and is a convenient way of adding metadata to your plaintext documents. ↩
work in progress ↩