How to serialize a Rust struct to RON with pretty printing?

Use ron::ser::to_string_pretty with PrettyConfig, as shown in the quickstart example. This outputs formatted RON with indentation and optional struct names for better readability in config files.

RON vs JSON for Rust projects: which is better?

RON is better for human-readable configs and Rust-specific types like enums, but JSON wins for cross-language support and broader tooling. Choose RON if readability and Rust alignment are priorities over interoperability.

Can RON handle optional fields and enums natively?

Yes, RON supports Option types as Some(value) or None and enums directly, making it more concise than JSON's verbose representations. This is highlighted in the syntax overview and examples.

What are the main limitations of RON with Serde?

RON struggles with complex Serde attributes like #[serde(flatten)] or tagged enums, as noted in the limitations. These can cause roundtrip issues, especially for dynamic or nested data structures.

Is RON good for game configuration files?

Yes, its readability, support for comments, and Rust-like syntax make it excellent for game configs, as shown in the PAC-MAN example. However, ensure your data structures avoid limited Serde features.

RON or TOML for Rust configuration?

RON is better for complex, nested data with Rust types, while TOML is simpler for flat configs. RON's syntax is more expressive, but TOML has wider ecosystem support outside Rust.

How to add comments in RON files?

Use // for single-line or /* */ for multi-line comments, as demonstrated in the key_bindings example. This allows annotating configs without affecting parsing, unlike JSON.

https://github.com/ron-rs/ron — Readable Rust Data Serialization

What is https://github.com/ron-rs/ron?

RON (Rusty Object Notation) is a human-readable data serialization format designed for Rust projects. It mirrors Rust's syntax to offer a more natural and less verbose alternative to JSON for configuration and data interchange, with full support for Serde's data model.

Target Audience

Rust developers working on projects that require readable configuration files, data persistence, or serialization that aligns closely with Rust's type system and idioms.

Value Proposition

Developers choose RON over JSON for its Rust-like syntax, which includes unquoted field names, trailing commas, comments, and native support for enums and Option types, making it more readable and idiomatic for Rust codebases.

Rusty Object Notation

Use Cases

Best For

Writing configuration files for Rust applications that need to be easily readable and editable by developers.
Serializing Rust structs and enums to a human-readable format for debugging or manual inspection.
Storing game or application state in a format that closely mirrors the in-memory data structures.
Interchanging data between Rust services where readability and Rust type fidelity are prioritized over extreme compactness.
Creating documentation examples that are both valid Rust-like syntax and serializable data.
Using as a configuration format in development tools or build systems where comments and clarity are essential.

Not Ideal For

Systems requiring cross-language interoperability with non-Rust components
Data structures heavily reliant on Serde attributes like tagged enums or flattening
High-performance scenarios where binary serialization speed is critical
Environments where ubiquitous tooling like JSON linters or validators is essential

Pros & Cons

Pros

Rust-Idiomatic Syntax

Uses unquoted field names, trailing commas, and optional struct names, mirroring Rust code for improved readability and ease of writing, as shown in the example configs.

Full Serde Compatibility

Implements Serde's data model to handle structs, enums, tuples, and more, enabling seamless integration with existing Rust serialization workflows.

Enhanced Type Support

Natively represents enums, Option types, and chars more succinctly than JSON, reducing verbosity and aligning with Rust's type system.

Human-Readable Output

Supports comments and pretty-printing, making it ideal for configuration files and debugging, as demonstrated by the pretty RON output feature.

Cons

Limited Serde Feature Support

Admits restrictions with tagged enums, untagged enums, and flattened structs, which can break roundtrips for complex data structures, as detailed in the limitations section.

Not Self-Describing Format

Lacks full support for Serde's deserialize_any, making it unreliable for dynamic or generic use cases compared to JSON.

Ecosystem Constraints

Tooling and community adoption are narrower than established formats, potentially hindering integration in mixed-tech stacks or requiring custom solutions.

Frequently Asked Questions

What is https://github.com/ron-rs/ron?

Target Audience

Rust developers working on projects that require readable configuration files, data persistence, or serialization that aligns closely with Rust's type system and idioms.

Value Proposition

Use Cases

Best For

Writing configuration files for Rust applications that need to be easily readable and editable by developers.
Serializing Rust structs and enums to a human-readable format for debugging or manual inspection.
Storing game or application state in a format that closely mirrors the in-memory data structures.
Interchanging data between Rust services where readability and Rust type fidelity are prioritized over extreme compactness.
Creating documentation examples that are both valid Rust-like syntax and serializable data.
Using as a configuration format in development tools or build systems where comments and clarity are essential.

Not Ideal For

Systems requiring cross-language interoperability with non-Rust components
Data structures heavily reliant on Serde attributes like tagged enums or flattening
High-performance scenarios where binary serialization speed is critical
Environments where ubiquitous tooling like JSON linters or validators is essential

Pros & Cons

Pros

Rust-Idiomatic Syntax

Uses unquoted field names, trailing commas, and optional struct names, mirroring Rust code for improved readability and ease of writing, as shown in the example configs.

Full Serde Compatibility

Implements Serde's data model to handle structs, enums, tuples, and more, enabling seamless integration with existing Rust serialization workflows.

Enhanced Type Support

Natively represents enums, Option types, and chars more succinctly than JSON, reducing verbosity and aligning with Rust's type system.

Human-Readable Output

Supports comments and pretty-printing, making it ideal for configuration files and debugging, as demonstrated by the pretty RON output feature.

Cons

Limited Serde Feature Support

Admits restrictions with tagged enums, untagged enums, and flattened structs, which can break roundtrips for complex data structures, as detailed in the limitations section.

Not Self-Describing Format

Lacks full support for Serde's deserialize_any, making it unreliable for dynamic or generic use cases compared to JSON.

Ecosystem Constraints

Tooling and community adoption are narrower than established formats, potentially hindering integration in mixed-tech stacks or requiring custom solutions.

Frequently Asked Questions

https://github.com/ron-rs/ron

What is https://github.com/ron-rs/ron?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

https://github.com/ron-rs/ron

What is https://github.com/ron-rs/ron?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?