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I am working with a team on a tool, Awkward Kaitai, that gives people tools to work with binary data once that data has been described with a custom language. If you're interested in more details the project is currently hosted at https://github.com/ManasviGoyal/kaitai_struct_awkward_runtime and is meant to integrate with a larger project, https://kaitai.io/.
This repository hosts a similar tool, construct.
We are currently writing a paper that provides examples of different custom-data problems in different domains and provides an overview of tools that help scientists work with such data and I'd like to invite the construct contributors to join our paper as authors.
People are welcome to contribute in any way they'd like as an author, and am particularly interested in having:
And I went about it asking the authors privately by mail.
If you are interested I happily can share the slides with you, a comparison with kaitai (and other solutions) is included. The main difference was that kaitai targets parsers also in non python languages, and construct parsers and builders (and kaitai).
This was a non academic setting...
I am not a a construct author, but i did dig into it quite a bit..
I am working with a team on a tool, Awkward Kaitai, that gives people tools to work with binary data once that data has been described with a custom language. If you're interested in more details the project is currently hosted at https://github.com/ManasviGoyal/kaitai_struct_awkward_runtime and is meant to integrate with a larger project, https://kaitai.io/.
This repository hosts a similar tool, construct.
We are currently writing a paper that provides examples of different custom-data problems in different domains and provides an overview of tools that help scientists work with such data and I'd like to invite the construct contributors to join our paper as authors.
People are welcome to contribute in any way they'd like as an author, and am particularly interested in having:
Thanks so much for your work in this area! If you're interested in participating, please contact me at amy.roberts@ucdenver.edu.
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