Multi-language Support
Kaitai Struct can generate parsers in multiple programming languages, including but not limited to C++, Java, JavaScript, Python, and Ruby, allowing for wide applicability across different projects and ecosystems.
Declarative Format
Kaitai Struct uses a declarative YAML-based description language to define data structures, making it easy to specify complex binary formats concisely and readably without writing imperative parsing code.
Automated Parsing
By automating the parsing process, Kaitai Struct reduces the potential for human error and quickly generates robust, efficient, and consistent parsers, saving development time and resources.
Open Source
Kaitai Struct is open-source, allowing users to contribute to its development, customize it for specific needs, and use it freely without licensing constraints.
Extensive Documentation
The project is well-documented with comprehensive guides, tutorials, and example files, aiding developers in understanding and utilizing the tool effectively.
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The latest comments about Kaitai Struct on Reddit. This can help you find out how popualr the product is and what people think about it.
At a higher abstraction level, the goal of Divooka is to move cursor-management logic into something closer to Kaitai Struct or DFDL, the Data Format Description Language. This makes it easier to work with standardized, well-documented formats such as RIFF. - Source: dev.to / 2 months ago
Well now you've gone and linked to a fascinating tool which I'm going to have to dive into and learn: https://kaitai.io/ Thanks. - Source: Hacker News / 7 months ago
Https://kaitai.io/ maybe? It looks perfectly nice for itโs role, but I didnโt use it for my last project because I need serialization as well. - Source: Hacker News / over 1 year ago
When these tools come up, I like to post my little list of similar tools, for those interested. Apparently it's a hobby of mine: * fq - like jq for binary data: https://github.com/wader/fq * visualizer, for the above: https://github.com/kaitai-io/kaitai_struct_visualizer/ * binary templates, for the above: https://github.com/HexFiend/HexFiend/blob/master/templates/T * binary-parsing - a collection of links to... - Source: Hacker News / almost 2 years ago
Just piggybacking here to mention a variety of other "interpret structured binary data" tools. Apparently I collect links to these (: * fq - like jq for binary data: https://github.com/wader/fq ** visualizer, for the above: https://github.com/kaitai-io/kaitai_struct_visualizer/ ** binary templates, for the above: https://github.com/HexFiend/HexFiend/blob/master/templates/Tutorial.md * binary-parsing - a collection... - Source: Hacker News / over 2 years ago
- ImHex [2], which has a pattern language [3] which allows parsing, and it seems more powerful than what Kaitai offers. I stumbled upon some limitations with it but it was still useful. [1]: https://kaitai.io/. - Source: Hacker News / over 2 years ago
Beautiful. Didn't know something like this exists. Reminds me of Katai[0] [0]. https://kaitai.io/. - Source: Hacker News / almost 3 years ago
An EDID override like this would be helpful for macOS as well, where the monitors swapping around after standby is a real annoyance [0] [1] EDID rewrites are 99% of the time blocked by the monitor firmware: https://notes.alinpanaitiu.com/Decoding-monitor-EDID-on-macOS By the way, one helpful tool that helped me navigate the EDID dump was Kaitai Struct [2]. It shows a side by side view with the hex view and the... - Source: Hacker News / almost 3 years ago
Kaitai Struct might be a good choice for that: https://kaitai.io/. - Source: Hacker News / about 3 years ago
For binary log format, there's the excellent Kaitai Struct frameworks, that make it very easy to generate parsers from a declarative schema. Source: about 3 years ago
Https://kaitai.io/ Worth a look if you are writing binary parsers. - Source: Hacker News / over 3 years ago
Have you seen this? https://kaitai.io/ (Disclaimer: I've never needed or used it, but stumbled upon it a while back and just filed it away for future reference). - Source: Hacker News / over 3 years ago
Speaking of reading binary data, later I found Kaitai Struct. You can write file format in YAML, then it would transpile it to different programming languages. Highly recommend it if all you need is to read (it can not serialize data back to binary). There's even a web IDE to play with files, which is quite fun. Source: over 3 years ago
Have you been exposed to Kaitai Struct[0] yet? As someone who wanted to use binary data from programs Iโve used it quite successfully and even more to the point: quite happily [0] https://kaitai.io/. - Source: Hacker News / over 3 years ago
Optimal solution for me would be something like Kaitai Struct with rust generators and serialization support. Source: over 3 years ago
I'd suggest taking a look at Kaitai. https://kaitai.io/. Source: over 3 years ago
And I love https://kaitai.io/ for data parsing. Not commonly required, but when it is, it's so good! Source: over 3 years ago
There are a few hex/disk editors that support "templates" (but you need most times to create those yourself). Here is a sort of "curated list" of related tools: https://github.com/dloss/binary-parsing The most complete/populated I know of is Kaitai: http://kaitai.io/ http://formats.kaitai.io/ that you can use with Hiew with Kiewtai https://github.com/taviso/kiewtai If the question is slightly different, i.e. Which... - Source: Hacker News / almost 4 years ago
No doubt the .wfm-decoding was the least time-consuming portion of this project, but it may have been even faster to define the file layout in Kaitai Struct, and have it generate the parser for you. Source: almost 4 years ago
I don't get the impression this is designed for binary formats, merely "non XML" ones. The task you described sounds like a better fit for https://kaitai.io/. - Source: Hacker News / about 4 years ago
I'm aware there is Kaitai Struct which can handle binary parsing (deserializing). And I have some success previously with python Construct which can do both serialize & deserialize, but it's written in python. Source: about 4 years ago
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