fastgron
jq
fastgron | jq | |
---|---|---|
10 | 56 | |
577 | 29,201 | |
- | 1.4% | |
9.0 | 9.3 | |
5 months ago | 7 days ago | |
C++ | C | |
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.
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.
fastgron
- FLaNK Stack Weekly 12 February 2024
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On-demand JSON: A better way to parse documents?
I don't really understand what's new here compared to what SIMDJSON already knew already.
Anyways, it's the best JSON parser I found (in any language)amazing, I implemented https://github.com/adamritter/fastgron on top of it because of the in demand library performance.
One problem with the library was that it needed extra padding at the end of the JSON, so it didn't support streaming / memory mapping.
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Make JSON Greppable
Thanks, it's a clear bug. I created a new issue for it: https://github.com/adamritter/fastgron/issues/19
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Jaq – A jq clone focused on correctness, speed, and simplicity
And also https://github.com/adamritter/fastgron that I've just discovered.
- FLaNK Stack Weekly 29 may 2023
- fastgron: A JSON to GRON Converter That's 40 Times Faster Than Gron
- Show HN: Fastgron: A JSON to GRON Converter That's 80 Times Faster Than Gron
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?
jikkou - The Open source Resource as Code framework for Apache Kafka
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
jp - Validate and transform JSON with Bash
kafka-native - Kafka broker compiled to native using Quarkus and GraalVM.
gojq - Pure Go implementation of jq
Deepstream - yolov5, yolov8, segmenations, face, pose, keypoints on deepstream
Jolt - JSON to JSON transformation library written in Java.
trogon - Easily turn your Click CLI into a powerful terminal application
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.
datalakeStudio - Python+VueJS application to load, explore, combine,transform and deliver data
jmespath.py - JMESPath is a query language for JSON.