binary-parsing
miller
binary-parsing | miller | |
---|---|---|
5 | 63 | |
839 | 8,559 | |
- | - | |
5.7 | 9.0 | |
27 days ago | 6 days ago | |
Go | ||
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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binary-parsing
- Reverse-engineering an encrypted IoT protocol
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GNU poke: The extensible editor for structured binary data
* binary-parsing - https://github.com/dloss/binary-parsing
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Ask HN: What software do you use to examine binary files?
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 bytes are used to identify a given file format, there is Trid:
https://mark0.net/soft-trid-e.html
Which has also a database of known headers/patterns.
- A list of tools for parsing binary data structures
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Fq: Jq for Binary Formats
Nice! Some other tools and parsers: https://github.com/dloss/binary-parsing
miller
- Qsv: Efficient CSV CLI Toolkit
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jq 1.7 Released
jq and miller[1] are essential parts of my toolbelt, right up there with awk and vim.
[1]: https://github.com/johnkerl/miller
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Perl first commit: a “replacement” for Awk and sed
> This works really well if your problem can be solved in one or two liners.
My personal comfort threshold is around the 100-line mark. It's even possible to write maintainable shell scripts up to 500 lines, but it mostly depends on the problem you're trying to solve, and the discipline of the programmer to follow best practices (use sane defaults, ShellCheck, etc.).
> It go bad very quickly when, say, you have two CSV files and want to join them the sql-way.
In that case we're talking about structured data, and, yeah, Perl or Python would be easier to work with. That said, depending on the complexity of the CSV, you can still go a long way with plain Bash with IFS/read(1) or tr(1) to split CSV columns. This wouldn't be very robust, but there are tools that handle CSV specifically[1], which can be composed in a shell script just fine.
So it's always a balancing act of being productive quickly with a shell script, or reaching out for a programming language once the tools aren't a good fit, or maintenance becomes an issue.
[1]: https://miller.readthedocs.io/
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Need help on cleaning this data!!
where mlr is from https://github.com/johnkerl/miller
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Running weekly average
if this class of problems (i.e., csv/tsv data) is your main target you may find miller (https://github.com/johnkerl/miller) much more useful in the long run
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GQL: A new SQL like query language for .git files written in Rust
That said, you may be interested in Miller (https://github.com/johnkerl/miller) which provides similar capabilities for CSV, JSON, and XML files. It doesn't use a SQL grammar, but that's just the proverbial lipstick on the thing. I'm not the author, but I have used it and I see some parallels in use cases at the very least.
- johnkerl/miller: Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
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Any cli utility to create ascii/org mode tables?
worth giving Miller a shot
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I wrote this iCalendar (.ics) command-line utility to turn common calendar exports into more broadly compatible CSV files.
CSV utilities (still haven't pick a favorite one...): https://github.com/harelba/q https://github.com/BurntSushi/xsv https://github.com/wireservice/csvkit https://github.com/johnkerl/miller
- Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
What are some alternatives?
HexFiend - A fast and clever hex editor for macOS
visidata - A terminal spreadsheet multitool for discovering and arranging data
fq - jq for binary formats - tool, language and decoders for working with binary and text formats
xsv - A fast CSV command line toolkit written in Rust.
Kaitai Struct - Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
kaitai_struct_visualizer - Kaitai Struct: visualizer and hex viewer tool
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
ImHex - 🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
json-toolkit - "the best opensource converter I've found across the Internet" -- dene14
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor