jellex VS dasel

You could do something like this in pure python without the json loading boilerplate with jello[0]. An interactive TUI for jello called jellex[1} is also available. (I am the author)

[0] https://github.com/kellyjonbrazil/jello

[1] https://github.com/kellyjonbrazil/jellex

Also, Jellex is a TUI front-end to Jello that helps with interactively querying the JSON.

I wrote something similar to this to query JSON and JSON lines with python instead of awk for text. It’s called Jellex (Jello Explorer) which is a TUI front-end to Jello. Jello is a python analog to JQ.

https://github.com/kellyjonbrazil/jellex

There's a new TUI for jello now called jellex that can help you create your jello python filters faster and easier.

I made this TUI app using prompt-toolkit

wget https://github.com/TomWright/dasel/releases/download/v2.1.2/dasel_linux_amd64 install -o root -g root -m 0755 dasel_linux_amd64 /usr/bin/dasel

https://github.com/TomWright/dasel handles JSON, TOML, YAML, XML and CSV

dasel - Comparable to jq / yq, but supports JSON, YAML, TOML, XML and CSV with zero runtime dependencies.

Another tool in this space is Dasel[1], which can handle querying/modifying JSON, YAML, TOML, XML and CSV files.

[1] https://github.com/TomWright/dasel

There also is dasel which combine jq, yq as well handling TOML, XML and CSV

dasel # most common human readable configs(json, yaml, xml...)

I have recently switched to Dasel (https://github.com/TomWright/dasel ) due to its ability to work not only with JSON but also with other formats.