I recently worked on an ETL project in Python. Among other things, the script had to process JSON files that users dropped into a specific folder.
As this was a sensitive application, it was important to validate the script by submitting fake JSON files, but also to ensure the quality of the files received.
For the fake files, I used a tool like the Faker library for Python.
Exactly like my SQL - Formatting tool, it's always useful to have a tool in your favourites that lets you copy/paste a JSON character string and display it as a tree-view with or without code folding feature.
I use it quite regularly when I'm writing a JSON string and I want to check that there are no syntax errors (lint) or, on the other hand, and for example, when I call an API that returns JSON and I want to analyse the code received. In these cases, the collapse functionality comes in very handy.
I really like the idea of not having to draw (actually, that is just because I am really bad at it) a diagram, a flow chart, a graphic representation of something that ... can be written.
Json crack is one of the tools in my toolkit when I want to draw something that can be written in json.
jq is a powerful utility for Linux allowing manipulating JSON data from the command line and can be integrated into shell scripts.
Using jq you can beautify JSON output but also filter it like f.i. showing only a given node.