pkgsrc
fq
pkgsrc | fq | |
---|---|---|
6 | 44 | |
287 | 9,402 | |
0.7% | - | |
10.0 | 9.4 | |
about 2 hours ago | 3 days ago | |
Go | ||
- | 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pkgsrc
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GNU poke: The extensible editor for structured binary data
It's a bit overkill for only building Poke, but you can use Pkgsrc [1] to do so on macOS:
Bootstrap Pkgsrc:
git clone https://github.com/NetBSD/pkgsrc.git
- Evaluating FreeBSD Current for Production Use
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ImportError: No module named libvirt
Looking at pkgsrc/sysutils/libvirt/PLIST it doesn't look like the package provides any Python bindings -- which is what the "ImportError: No module named libvirt" error message is about. You could try py-libvirt from pkgsrc-wip and see how that works out.
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Using NetBSD’s pkgsrc everywhere I can
The repository of record is CVS, but you can - like many of us do - use either the HG export (https://anonhg.netbsd.org/pkgsrc) or GitHub (https://github.com/netbsd/pkgsrc) instead.
At some point we will transition the repository of record to something else, but it's being done carefully. We want to do it right, and there aren't many volunteers willing help with the work.
- Haiku OS ported and running on RISC-V
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ffmpeg4 core dumps on ppc
it's worth noting that there were some ppc-specific commits to ffmpeg4 since: 1, 2
fq
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How to Use JSON Path
I feel like `fq` has a query path language that's kind of generic across lots of file types. It can be fairly verbose for that reason. I was using it to debug MsgPack documents and it was a lot less intuitive than just using some dotted string paths with `jq`.
https://github.com/wader/fq/
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Reverse-engineering an encrypted IoT protocol
Hey! fq author here. I have a bunch of related tools in the readme https://github.com/wader/fq?tab=readme-ov-file#tools two suggestions: gnu poke and wireshark (can decode lots of more things then just network protocol)
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To a Man with `Jq`, Everything Looks Like JSON
Did someone say let's represent structured data as json? a bit of shameless plug: https://github.com/wader/fq :) It's using a fork of gojq btw!
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Jaq – A jq clone focused on correctness, speed, and simplicity
https://github.com/wader/fq has a REPL and can read JSON. Tip is to use "paste | from_json | repl" in a REPl to paste JSON into a sub-REPL, you can also use `` with fq which is a raw string literal
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jq 1.7 Released
I do lots of exploratory work in various structure data, in my case often debugging media filea via https://github.com/wader/fq, which mean doing lots of use-once-queries on the command line or REPL. In those cases jq line-friendly and composable syntax and generators really shine.
- fq (jq for binary formats) has a new v0.7.0 version
- FLaNK Stack 5-June-2023
- fq: jq for binary formats - tool, language and decoders for working with binary and text formats
- Fq: Jq for Binary Formats
- GitHub - wader/fq: jq for binary formats - tool, language and decoders for working with binary and text formats
What are some alternatives?
xbps - The X Binary Package System (XBPS)
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
pkgsrc-wip - Work-in-progress packages for pkgsrc, the portable package system from NetBSD [mirror]
jq - Command-line JSON processor
kaitai_struct_visualizer - Kaitai Struct: visualizer and hex viewer tool
Kaitai Struct - Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby
HexFiend - A fast and clever hex editor for macOS
binspector - A binary format analysis tool
nq - Unix command line queue utility
focker - Focker is a FreeBSD image/jail orchestration tool in the vein of Docker.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON