hachoir
kaitai_struct_formats
hachoir | kaitai_struct_formats | |
---|---|---|
3 | 3 | |
586 | 682 | |
- | 0.1% | |
6.4 | 6.3 | |
3 months ago | 19 days ago | |
Python | Kaitai Struct | |
GNU General Public License v3.0 only | - |
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hachoir
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Magika: AI powered fast and efficient file type identification
https://github.com/vstinner/hachoir/blob/main/hachoir/subfil...
File signature:
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Kaitai Struct: A new way to develop parsers for binary structures
I contributed a number of file formats a few years ago (and attempted numerous others) but ran into a number of problems with certain file formats:
1. It's not possible to read from the file until a multiple byte termination sequence is detected. [1]
2. You can't read sections of a file where the termination condition is the presence of a sequence of bytes denoting the next unrelated section of the file (and you don't want to consume/read these bytes) [2]
3. The WebIDE at the time couldn't handle very large file format specifications such as Photoshop (PSD) [3]
4. Files containing compressed or encrypted sections require a compression/encryption algorithm to be hardcoded into Kaitai struct libraries for each programming language it can output to.
The WebIDE I particularly liked as it makes it easy to get started and share results. I also liked how Kaitai Struct allows easy definition of constraints (simple ones at least) into the file format specification so that you can say "this section of the file shall have a size not exceeding header.length * 2 bytes".
Some alternative binary file format specification attempts for those interested in seeing alternatives, each with their own set of problems/pros/cons:
1. 010 Editor [4]
2. Synalysis [5]
3. hachoir [6]
4. DFDL [7]
[1] https://github.com/kaitai-io/kaitai_struct/issues/158
[2] https://github.com/kaitai-io/kaitai_struct/issues/156
[3] https://raw.githubusercontent.com/davidhicks/kaitai_struct_f...
[4] https://www.sweetscape.com/010editor/repository/templates/
[5] https://github.com/synalysis/Grammars
[6] https://github.com/vstinner/hachoir/tree/main/hachoir/parser
[7] https://github.com/DFDLSchemas/
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PyWhat: Identify Anything
Another one sort of related is hachoir, and specifically the hachoir-metadata script: https://github.com/vstinner/hachoir
kaitai_struct_formats
- Magika: AI powered fast and efficient file type identification
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Fq: Jq for Binary Formats
Kaitai has a repository of binary formats[1] that can be used in visualizers or to auto-generate parsers.
[1] https://formats.kaitai.io/
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Show HN: I am building a new Python library to read/write PDF files
This is tangential to your submission, but PDF is the file format I use for exercising any library that claims to be a declarative file format (ala https://github.com/kaitai-io/kaitai_struct_formats#readme )
What are some alternatives?
binrw - A Rust crate for helping parse and rebuild binary data using ✨macro magic✨.
PyMuPDF - PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
usaddress - :us: a python library for parsing unstructured United States address strings into address components
pdfquery - A fast and friendly PDF scraping library.
fuckitjs - The Original Javascript Error Steamroller
cutter - Free and Open Source Reverse Engineering Platform powered by rizin
pyWhat - 🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
jqjq - jq implementation of jq
probablepeople - :family: a python library for parsing unstructured western names into name components.
i7j-rups - RUPS is an acronym for Reading and Updating PDF Syntax. RUPS is a tool built on top of iText® that allows you to look inside a PDF document and browse the different PDF objects and content streams.
smm2-documentation - Documentation for the game Super Mario Maker 2.
pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.