Binrw
The tool binrw simplifies binary parsing and serialization with a declarative approach, offering readability and maintainability. It supports common tasks, generics, custom parsers, predefined types, and is safe for various environments.
Read original articleThe tool binrw simplifies the creation and maintenance of binary parsers and serializers by offering a declarative approach. It allows users to define types easily without boilerplate code, enhancing readability and maintainability. The tool is described as declarative, powerful, composable, safe, efficient, and embedded-compatible. It provides features like handling common binary parsing tasks through directives in attributes, support for generics and custom parsers, and reusable building blocks. Additionally, binrw includes predefined types such as null-terminated strings, data representation via file offsets, and implementations for standard Rust types like Vecs and Arrays. Notably, the tool boasts zero unsafe code, supports no_std and Web Assembly environments, and leverages Rust's speed and safety features. Overall, binrw aims to streamline the process of reading and writing binary data through its user-friendly and efficient design.
Related
Orb: Write WebAssembly with Elixir
Orb leverages Elixir's ecosystem to simplify WebAssembly writing, offering features like composable modules, Hex package manager, ExUnit testing, macros, and syntax highlighting. It enables Elixir code compilation to .wasm, supports reusable modules, and integrates existing Elixir libraries for MIME tasks, showcasing flexibility in WebAssembly development.
Wc2: Investigates optimizing 'wc', the Unix word count program
The GitHub project "wc2" presents an innovative algorithm for the `wc` program, focusing on asynchronous state-machine parsing in C and JavaScript. It enhances efficiency, scalability, and speed compared to traditional `wc` implementations.
My experience crafting an interpreter with Rust (2021)
Manuel Cerón details creating an interpreter with Rust, transitioning from Clojure. Leveraging Rust's safety features, he faced challenges with closures and classes, optimizing code for performance while balancing safety.
Fixing a memory leak of xmlEntityPtr in librsvg
Librsvg fixed a memory leak issue caused by mishandling xmlEntityPtr instances in SVG parsing. A wrapper struct with Rust's Drop trait was used for automatic resource deallocation, improving memory management efficiency.
Optimizing the Roc parser/compiler with data-oriented design
The blog post explores optimizing a parser/compiler with data-oriented design (DoD), comparing Array of Structs and Struct of Arrays for improved performance through memory efficiency and cache utilization. Restructuring data in the Roc compiler showcases enhanced efficiency and performance gains.
Related
Orb: Write WebAssembly with Elixir
Orb leverages Elixir's ecosystem to simplify WebAssembly writing, offering features like composable modules, Hex package manager, ExUnit testing, macros, and syntax highlighting. It enables Elixir code compilation to .wasm, supports reusable modules, and integrates existing Elixir libraries for MIME tasks, showcasing flexibility in WebAssembly development.
Wc2: Investigates optimizing 'wc', the Unix word count program
The GitHub project "wc2" presents an innovative algorithm for the `wc` program, focusing on asynchronous state-machine parsing in C and JavaScript. It enhances efficiency, scalability, and speed compared to traditional `wc` implementations.
My experience crafting an interpreter with Rust (2021)
Manuel Cerón details creating an interpreter with Rust, transitioning from Clojure. Leveraging Rust's safety features, he faced challenges with closures and classes, optimizing code for performance while balancing safety.
Fixing a memory leak of xmlEntityPtr in librsvg
Librsvg fixed a memory leak issue caused by mishandling xmlEntityPtr instances in SVG parsing. A wrapper struct with Rust's Drop trait was used for automatic resource deallocation, improving memory management efficiency.
Optimizing the Roc parser/compiler with data-oriented design
The blog post explores optimizing a parser/compiler with data-oriented design (DoD), comparing Array of Structs and Struct of Arrays for improved performance through memory efficiency and cache utilization. Restructuring data in the Roc compiler showcases enhanced efficiency and performance gains.