easygen VS jq

there are lots of other transformation support function already builtin inside easygen, check out the full list with sample usage and results here.

The problem of both jq or jp is that although they can do data projection in any direction (doing data filtering in any way), their purpose are still focusing on data transformation, but when talking about rendering json data into a format more presentable to human beings, then there is no better tools than easygen. In fact, the easygen is a universal code/text generator that not only works on json data but it can take in data defined in YAML format as well. It can be used as any text (or html, or any other forms) generator for arbitrary purposes with arbitrary data and templates. It is built on top of the powerful Go template engine.

In this article, we'll first look at those few more boilerplates that enable you to only write the above few lines and everything will work out magically. Then we'll move on to how to make things even simpler, with the help of easygen.

There are a few more boilerplates that need to be in place so that you can only write the above few lines and everything will work out magically, which will be covered in next article, with the help of easygen.

That should recursively list directories, counting only the files within each, and output² jsonl that can be further mangled within the shell². You could just as easily populate an associative array for further work, or $whatever. Unlike bash, zsh has reasonable behaviour around quoting and whitespace too.

¹ https://zsh.sourceforge.io/Doc/Release/User-Contributions.ht...

² https://github.com/jpmens/jo

³ https://github.com/stedolan/jq

What I miss from jq and what is implemented but unreleased is platform independent line delimiters.

jq on Windows produces \r\n terminated lines which can be annoying when used with Cygwin / MSYS2 / WSL. The '--binary' option to not convert line delimiters is one of those pending improvements.

https://github.com/stedolan/jq/commit/0dab2b18d73e561f511801...

If you have jq installed you can use it to make the output look nicer.

It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.

jq is your friend.

The jq command (https://stedolan.github.io/jq/) is useful pulling that information out.