rkyv
A zero-copy deserialization framework for Rust that enables high-performance data serialization without copying.
What is rkyv?
rkyv is a zero-copy deserialization framework for Rust that serializes data into an in-memory format, allowing direct access without deserialization. It solves the performance and memory overhead issues associated with traditional serialization by eliminating data copying, making it suitable for high-speed data processing and storage.
Rust developers working on performance-critical applications, such as game engines, databases, network protocols, or systems requiring efficient data serialization and deserialization.
Developers choose rkyv for its zero-copy deserialization, which provides unmatched performance and memory efficiency compared to other Rust serialization libraries, along with flexible APIs for both safe and unsafe access.
Overview
Zero-copy deserialization framework for Rust
Use Cases
Best For
- High-performance game engines needing fast asset loading
- Database systems requiring efficient data serialization
- Network protocols with low-latency data transmission
- Embedded systems with limited memory resources
- Scientific computing applications handling large datasets
- Real-time data processing pipelines
Not Ideal For
- Applications requiring human-readable serialization formats like JSON for configuration or debugging
- Cross-language data exchange where compatibility with non-Rust systems is essential
- Projects with highly dynamic or recursive data structures that complicate zero-copy serialization without added complexity
Pros & Cons
Pros
Eliminates data copying during deserialization, drastically reducing memory usage and boosting speed, as evidenced by benchmarks in the rust serialization benchmark.
Offers both safe APIs with bytecheck validation and unsafe APIs for maximum performance, allowing developers to balance safety and speed based on their needs.
Supports allocators and arenas for optimized resource management, enabling fine-tuned performance in serialization, as shown in the example using Arena.
Provides derive macros like Archive and Serialize for structs and enums, simplifying implementation with minimal boilerplate code, as demonstrated in the README example.
Cons
Maximum performance requires using the unsafe API, which risks memory safety issues if misused, and the safe API adds overhead with bytecheck validation.
Achieving peak performance often involves customizing serialization with arenas and allocators, increasing setup complexity compared to plug-and-play libraries like serde.
Prioritizes zero-copy efficiency over features like human-readable output or broad ecosystem support, making it overkill for simple serialization tasks.
Frequently Asked Questions
Related Projects
jsonStrongly typed JSON library for Rust
prostPROST! a Protocol Buffers implementation for the Rust Language
https://github.com/ron-rs/ronRusty Object Notation
bincodeA binary encoder / decoder implementation in Rust.
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