counsel-jq VS visidata

Didn’t know this. Thanks for the tip!

Personally, when I test REST APIs, I use „restclient.el“ all the time which also comes with a great JQ integration („jq-set-var“ for example for deriving request variables from responses). For traversing larger responses I use „counsel-jq“ in a customized JSON mode: https://github.com/200ok-ch/counsel-jq

But I’ll give the major mode a try, too.

If anyone is an emacs user and this sounds compelling, I recommend counsel-jq[0] for the sort of feedback loop described here.

[0]: https://github.com/200ok-ch/counsel-jq

I'd like to call out one of my favorite pieces of software from the past 10 years: VisiData [1] has completely changed the way I do ad-hoc data processing, and is now my go-to for pretty much all use cases that I previously used spreadsheets for, and about half of those I previously used databases for.

It's a TUI application, not strictly CLI, but scriptable, and I figure anyone building pipelines using tools like jq, q, awk, grep, etc. to process tabular data will find it extremely useful.

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[1]: https://visidata.org

[4] "Is it possible to "flatten" structured data (like JSON?)": https://github.com/saulpw/visidata/discussions/1605

Visidata - https://visidata.org

You can try Visidata

VisiData is an awesome terminal spreadsheet tool. edbrowse for internet browsing.

Have you ever tried out visidata? It's not vim, but it's a terminal app with vim-like keybindings for visualizing tabular data (and it can convert from other types like json). Not quite a neovim buffer, but you could always open visidata in a new terminal buffer.

If you are a command-line user, try visidata[0]

[0] https://github.com/saulpw/visidata

The datasets will be available as SQLite, JSONL, and CSV. This will be great for sharpening your SQL/Python/VisiData skills.

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