hachoir
DataProfiler
hachoir | DataProfiler | |
---|---|---|
3 | 61 | |
586 | 1,363 | |
- | 1.0% | |
6.4 | 6.3 | |
3 months ago | 9 days ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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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
DataProfiler
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LongRoPE: Extending LLM Context Window Beyond 2M Tokens
It's been possible to skip tokenization for a long time, my team and I did it here - https://github.com/capitalone/DataProfiler
For what it's worth, we actually were working with LSTMs with nearly a billion params back in 2016-2017 area. Transformers made it far more effective to train and execute, but ultimately LSTMs are able to achieve similar results, though slow & require more training data.
- Data Profiler – What's in your data?
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Data Profiler 0.9.0 -- offering a massive improvement to memory usage during profiling of large datasets
Great call out -- would you be willing to write up an issue for that on the repo? Thank you! https://github.com/capitalone/DataProfiler/issues/new/choose
- FLiPN-FLaNK Stack Weekly for 20 March 2023
- Release 0.8.3 · capitalone/DataProfiler
What are some alternatives?
binrw - A Rust crate for helping parse and rebuild binary data using ✨macro magic✨.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
usaddress - :us: a python library for parsing unstructured United States address strings into address components
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! 🧙♀️
fuckitjs - The Original Javascript Error Steamroller
XlsxWriter - A Python module for creating Excel XLSX files.
probablepeople - :family: a python library for parsing unstructured western names into name components.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
smm2-documentation - Documentation for the game Super Mario Maker 2.
vtuber-livechat-dataset - 📊 VTuber 1B: Billion-scale Live Chat and Moderation Event Dataset