up
jq
up | jq | |
---|---|---|
25 | 56 | |
8,150 | 29,201 | |
- | 1.2% | |
0.0 | 9.3 | |
8 months ago | about 23 hours ago | |
Go | C | |
Apache License 2.0 | 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.
up
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Fx – Terminal JSON Viewer
This fx rewrite is very exciting. I'll have to try it. I thought of fx as a wrapper around jq, that allowed quick iteration over building jq scripts. Sort of an Ultimate Plumber [1] but only for jq. It looks like it is now more like a JavaScript processor plus an interactive viewer.
Someone mention Visidata[2]? VisiData is also a TUI that is great on tabular data, and it can work with json. If your JSON is mostly tabular in nature, Visidata does a great job at showing that data and allowing you to explore it. A lot of json I deal with is tabular-like data. There is a great tutorial [3], that can help you get your bearings with Visidata. Once you understand those basics you might want to look at this thread [4] for what commands you can use with json.
[1] Ultimate Plumber: https://github.com/akavel/up
- Up: Plumber is a tool for writing Linux pipes with instant live preview
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Show HN: LineSelect, shell utility to interactively select lines in a pipeline
Ultimate plumber can do this.
https://github.com/akavel/up
- Ultimate Plumber – a tool for writing Linux pipes with live preview
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`jqp`, a TUI playground for `jq`
Been using up for years but this looks nice too
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An interactive wrapper around `jq`
Fun. But I can achieve the same result (I think) with ultimate plumber and regular jq, but without being restricted just to jq. Feel free to correct me.
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What are some useful cli tools that arent popular?
Up - The Ultimate Plumber makes the best pipes !
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A list of new(ish) command line tools – Julia Evans
As an alternative allowing the use of any shell command/pipeline on the results interactively, see also: https://github.com/akavel/up
- RegExr: Learn, Build and Test Regex
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Is there any command-line application that you wish existed but doesn't (or isn't as good as you wished)?
Would https://github.com/akavel/up solve your problem?
jq
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Data Science at the Command Line, 2nd Edition (2021)
Thanks, if anyone else is interested there is an explanation of this feature here: https://subtxt.in/library-data/2016/03/28/json_stream_jq And: https://github.com/jqlang/jq/wiki/FAQ#streaming-json-parser
The last time I tried, I think the reason I gave up on JQ for large inputs was that the throughput would max out at 7mb/s whereas the same thing with spark SQL on the same hardware (MacBook) would max out at 250mb/s. So I started looking into using other solutions for big data while I use jq in parallel for small data in multiple files.
I will test it out again cause this was 4-5 years ago when I last tested it, but I believe jaq is still preferred for large inputs. Still I prefer for big data to use Spark/Polars/clickhouse etc.
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Bytecode VMs in Surprising Places
Looks like you are correct https://github.com/jqlang/jq/blob/ed8f7154f4e3e0a8b01e6778de...
- Frawk: An efficient Awk-like programming language. (2021)
- Dehydrated: Letsencrypt/acme client implemented as a shell-script
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I turned my open-source project into a full-time business
I think like you. But also, one does not necessarily know beforehand that they will want to make money.
Like a project could be born out of pure generosity, but after the happy initial phase the project might get too heavy on the maintenance requirements, causing the author to approach burnout, and possibly deciding that they want to make money to continue pulling the cart forward.
However, here's something I do think: if you create something as Open Source, it should be out of a mentality of goodwill and for the greater good, regardless of how it ends up being used. OSS licenses do mean this with their terms. If you later get tired or burned out, you should just retire and allow the community to keep taking care of it. Just like it happened with the Jq tool [1].
[1]: https://github.com/jqlang/jq/releases/tag/jq-1.7
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How to load JSON data in PostgreSQL with the the COPY command
In this blog we'll see how to upload the JSON directly using PostgreSQL COPY command and using an utility called jq!
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How to Recover Locally Deleted Files From Github
And we can then make it easier to find the commit by filtering the response with jq.
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Essential Command Line Tools for Developers
Official Documentation: jqlang.github.io/jq
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Command line tools I always install on Ubuntu servers
To handle JSON files and JSON outputs in a script or format and highlight it, jq can be very handy. Many command line tools provide a json output, so you don't have to write a custom parser for a table a list in a terminal. Instead of that, you can use jq to get a specific value from the output or even modify the output. For more information, you can visit https://jqlang.github.io/jq/
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How I use Nix in my Elm projects
In some projects I've wanted to use HTTPie to test APIs and jq to work with some JSON data. Nix has been really helpful in managing those dependencies that I can't easily get from npm.
What are some alternatives?
nvim-jqx - Populate the quickfix with json entries
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
zsh-history-substring-search - 🐠 ZSH port of Fish history search (up arrow)
jp - Validate and transform JSON with Bash
dive - A tool for exploring each layer in a docker image
gojq - Pure Go implementation of jq
fzf-tab - Replace zsh's default completion selection menu with fzf!
Jolt - JSON to JSON transformation library written in Java.
fx - Terminal JSON viewer & processor
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.
hurl - Hurl, run and test HTTP requests with plain text.
jmespath.py - JMESPath is a query language for JSON.