Kaitai Struct

[!NOTE]

If you want to make changes to the project, do not fork this kaitai_struct repository. Instead, choose the component you want to modify in the file tree above and fork that individual component instead.

This is an umbrella repository, containing the components only as submodules to make it easier to check out the entire project. Unless you want to modify this README, it is not the repo where you can make edits.

What is Kaitai Struct?

Kaitai Struct (KS) is a declarative language used to describe various binary data structures, laid out in files or in memory: i.e. binary file formats, network stream packet formats, etc.

The main idea is that a particular format is described in Kaitai Struct language (.ksy file) only once and then can be compiled with kaitai-struct-compiler (or ksc for short) into source files in one of the supported programming languages. These modules will include generated code for a parser that can read the described data structure from a file or stream and provide access to it in a nice, easy-to-comprehend API.

What is it used for?

Have you ever found yourself writing repetitive, error-prone and hard-to-debug code that reads binary data structures from file / network stream and somehow represents them in memory for easier access?

Kaitai Struct tries to make this job easier — you only have to describe the binary format once and then everybody can use it from their programming languages — cross-language, cross-platform.

Kaitai Struct includes a growing collection of format descriptions, available in formats submodule repository.

Using KS in your project

Typically, using formats described in KS in your project involves the following steps:

• Describe the format — i.e. create a .ksy file
• Use a visualizer to debug the format and ensure that it parses data

• Compile the .ksy file into a target language source file and include

• Add the KS runtime library for your particular language to your

• Use the generated class(es) to parse your binary file or stream and

To see an example, a list of supported languages, download instructions and licensing information, visit https://kaitai.io/.