The GitHub repository introduces KEON, a serialization and deserialization (serde) format designed for human readability and writability, drawing heavy syntactic inspiration from the Rust programming language. KEON aims to provide a user-friendly alternative to existing formats like JSON, TOML, and YAML, particularly for configurations and data representation within Rust projects. The format emphasizes clarity and ease of use, making it simpler for developers to both create and understand serialized data.
KEON's syntax closely mirrors Rust's struct definitions, employing familiar keywords like struct, enum, and tuple. This allows Rust developers to transition seamlessly between code and data representation, reducing the cognitive overhead associated with working with different syntaxes. The format supports various data types, including integers, floating-point numbers, booleans, strings, arrays, tuples, structs, enums, and even more complex structures like nested structs and enums. This comprehensive type support ensures KEON can handle a wide range of data structures encountered in real-world applications.
A key feature of KEON is its ability to represent complex data structures in a concise and organized manner. The Rust-like syntax allows for nested structures, providing a natural way to express hierarchical data. This makes it well-suited for configuration files, where settings are often organized into logical groups and sub-groups. The human-readable nature of KEON further enhances its suitability for configuration files, allowing developers to easily modify and maintain these files without needing specialized tools or parsers.
The repository provides Rust implementations for both serialization and deserialization of KEON data. This allows developers to integrate KEON directly into their Rust projects, streamlining the process of reading and writing data in this format. The project aims to offer a robust and performant serde solution for Rust, leveraging the language's features and ecosystem. While the primary focus is on Rust, the creators envision KEON as a potentially language-agnostic format, with the possibility of implementations in other programming languages in the future. This would expand its applicability and make it a versatile option for cross-platform data exchange.
Summary of Comments ( 2 )
https://news.ycombinator.com/item?id=42667080
Hacker News users discuss KEON, a human-readable serialization format resembling Rust. Several commenters express interest, praising its readability and potential as a configuration language. Some compare it favorably to TOML and JSON, highlighting its expressiveness and Rust-like syntax. Concerns arise regarding its verbosity compared to more established formats, particularly for simple data structures, and the potential niche appeal due to the Rust syntax. A few suggest potential improvements, including a more formal specification, tools for generating parsers in other languages, and exploring the benefits over existing formats like Serde. The overall sentiment leans towards cautious optimism, acknowledging the project's potential but questioning its practical advantages and broader adoption prospects.
The Hacker News post titled "KEON is a human-readable serde format that syntactic similar to Rust" generated a moderate amount of discussion, with several commenters expressing interest and raising pertinent questions.
A prominent theme in the comments was the comparison of KEON to other serialization formats, particularly JSON, TOML, and YAML. Some users questioned the need for another format, wondering what advantages KEON offers over existing solutions. One commenter specifically asked about the performance characteristics of KEON compared to JSON. Another user pointed out the potential benefits of KEON's Rust-like syntax for developers already familiar with Rust, suggesting it could reduce the cognitive load when working with configuration files or data serialization.
The discussion also touched on the practical aspects of using KEON. One commenter inquired about the editor support for the format, highlighting the importance of syntax highlighting and autocompletion for developer productivity. Another user expressed concern about the potential ambiguity of KEON's syntax, especially concerning the use of unquoted keys, and how this might affect parsing and error handling.
There was a brief exchange about the use of Rust enums in KEON, with one commenter mentioning the potential benefits of this feature for representing structured data. However, the discussion didn't delve deeply into the specifics of how enums are handled.
Some commenters focused on the project's maturity and tooling. Questions were raised about the availability of a specification for the format, the existence of a parser implementation, and the overall stability of the project.
While some commenters expressed skepticism about the need for another serialization format, others seemed genuinely interested in KEON, appreciating its Rust-like syntax and potential for integration with Rust projects. Overall, the comments reflected a mix of curiosity, cautious optimism, and pragmatic concerns about the format's practicality and long-term viability.