kaitai_struct_formats
magika
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| kaitai_struct_formats | magika | |
|---|---|---|
| 3 | 4 | |
| 682 | 7,344 | |
| 0.7% | 6.8% | |
| 6.3 | 9.8 | |
| 12 days ago | 3 days ago | |
| Kaitai Struct | Python | |
| - | Apache License 2.0 |
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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 )
magika
- FLaNK Stack Weekly 19 Feb 2024
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Magika: AI powered fast and efficient file type identification
As someone that has worked in a space that has to deal with uploaded files for the last few years, and someone who maintains a WASM libmagic Node package ( https://github.com/moshen/wasmagic ) , I have to say I really love seeing new entries into the file type detection space.
Though I have to say when looking at the Node module, I don't understand why they released it.
Their docs say it's slow:
https://github.com/google/magika/blob/120205323e260dad4e5877...
It loads the model an runtime:
https://github.com/google/magika/blob/120205323e260dad4e5877...
They mark it as Experimental in the documentation, but it seems like it was just made for the web demo.
Also as others have mentioned. The model appears to only detect 116 file types:
https://github.com/google/magika/blob/120205323e260dad4e5877...
Where libmagic detects... a lot. Over 1600 last time I checked:
https://github.com/file/file/tree/4cbd5c8f0851201d203755b76c...
I guess I'm confused by this release. Sure it detected most of my list of sample files, but in a sample set of 4 zip files, it misidentified one.
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Show HN: Magika: AI powered fast and efficient file type identification
We are very excited to announce the release of Magika our AI powered fast and efficient file type identification lib and tool - https://opensource.googleblog.com/2024/02/magika-ai-powered-fast-and-efficient-file-type-identification.html
Thanks to its optimized Keras model, large scale training dataset, and Onnx Magika massively outperform other file identification tools while be very fast even on CPU.
Magika python code and model is open sourced on Github: https://github.com/google/magika and we also provide an experimental TFJS based npm package https://www.npmjs.com/package/magika
With the team we hope you will find Magika useful for your own projects. Let us know what you think or if you have any question!
What are some alternatives?
PyMuPDF - PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
file - Read-only mirror of file CVS repository, updated every half hour. NOTE: do not make pull requests here, nor comment any commits, submit them usual way to bug tracker or to the mailing list. Maintainer(s) are not tracking this git mirror.
pdfquery - A fast and friendly PDF scraping library.
magic - Racket implementation of the Unix file command's magic language
cutter - Free and Open Source Reverse Engineering Platform powered by rizin
Space-Maker
jqjq - jq implementation of jq
spark-nlp-workshop - Public runnable examples of using John Snow Labs' NLP for Apache Spark.
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.
osv.dev - Open source vulnerability DB and triage service.
pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
noseyparker - Nosey Parker is a command-line program that finds secrets and sensitive information in textual data and Git history.