rq VS gron

Not sure what it is doing more...I'm referring to this rq: https://github.com/dflemstr/rq#format-support-status

It converts to/from the listed formats.

There is also `jc` (written in Python) with the added benefit that it converts output of many common unix utilities to json. So you would not need to parse `ip` for example.

https://github.com/kellyjonbrazil/jc

In robotics most relevant signals are seen by the software. My current pattern is to log everything to MessagePack files (e.g. using mpacklog in Python or palimpsest in C++), then dump and plot the data later on using handy command-line tools like jq and rq.

There's also rq (record query)[1] that also supports CSV and JSON but not TSV though. It's written in Rust.

[1] https://github.com/dflemstr/rq

Ish. https://github.com/dflemstr/rq/ It removed its processing language a while ago. It's still a very useful tool, though. Imho, it's a bigger pity that it can't highlight YAML on output, or parse YAML 1.1.

gron (https://github.com/tomnomnom/gron) to transform it and query and then invert the transformation?

It buffers all of its output statements in memory before writing to stdout:

https://github.com/tomnomnom/gron/blob/master/main.go#L204

Have you tried `gron`?

It converts your nested json into a line by line format which plays better with tools like `grep`

From the project's README:

▶ gron "https://api.github.com/repos/tomnomnom/gron/commits?per_page..." | fgrep "commit.author"

json[0].commit.author = {};

json[0].commit.author.date = "2016-07-02T10:51:21Z";

json[0].commit.author.email = "[email protected]";

json[0].commit.author.name = "Tom Hudson";

https://github.com/tomnomnom/gron

It was suggested to me in HN comments on an article I wrote about `jq`, and I have found myself using it a lot in my day to day workflow

> So all I want is a tool to go from json => line oriented and I will do the rest with the vast library of experience I already have at transformations on the command line.*

The tool for that is likely https://github.com/tomnomnom/gron

If JQ is too much, see GRON &| Miller

gron transforms JSON into discrete assignments to make it easier to grep for what you want https://github.com/tomnomnom/gron

Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON https://github.com/johnkerl/miller

And jless [1] and gron [2].

This is the first I'm hearing of gron, but adding here for completeness sake. Meanwhile, JSON seems to be becoming a standard for CLI tools. Ideal scenario would be if every CLI tool has a --json flag or something similar, so that jc is not needed anymore.

[1] https://jless.io/

[2] https://github.com/tomnomnom/gron