jq | jp | |
---|---|---|
55 | 6 | |
29,146 | 72 | |
1.2% | - | |
9.3 | 0.0 | |
3 days ago | over 1 year ago | |
C | Shell | |
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.
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.
jp
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Using 'jq' to extract an IP from a JSON. Need help
Several jq solutions here already, here's how you could do this in jp (pure Bash).
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Bash Function Names Can Be Almost Anything
Seriously though, the article leads to the author's jp bash script which allows processing of JSON. It could be useful - but why it exists when jq is available, I don't know. Nonetheless, it looks like an impressive acheivment.
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Guidance in building a .json config file with bash script.
color='foobar';cat tests/share/package.json | jp '{"color":"'"$color"'"}' jp.++ { "color": "foobar", "name": "jp", "version": "0.0.1", "description": "A JSON processor written in Bash", "homepage": "http://github.com/dnmfarrell/jp", "repository": { "type": "git", "url": "https://github.com/dnmfarrell/jp.git" }, "bin": { "jp": "./jp" }, "dependencies": {}, "devDependencies": {}, "author": "David Farrell" }
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jp - a real json processor in bash
However there was a flaw in how jp parsed large input: it repeatedly copied the input string which, for large inputs made it very slow. Maybe that's what you ran into? That is fixed now. jp can parse the 128kb of json in tests/share/ec2-describe-instances.json for example.
What are some alternatives?
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
gojq - Pure Go implementation of jq
Gogh - Gogh is a collection of color schemes for various terminal emulators, including Gnome Terminal, Pantheon Terminal, Tilix, and XFCE4 Terminal also compatible with iTerm on macOS.
Jolt - JSON to JSON transformation library written in Java.
Scout - Surveillance Detection Scout: Your Lookout on Autopilot
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.
egpu-switcher - 🖥🐧 Setup script for eGPUs in Linux (X.Org)
jmespath.py - JMESPath is a query language for JSON.
dayone-json-to-obsidian - Update Obsidian vault from Day One (“DayOne”) JSON using command line scripts.
json5 - JSON5 — JSON for Humans
scout - Reading and writing in JSON, Plist, YAML and XML data made simple when the data format is not known at build time. Swift library and command-line tool.