tokay VS marcel

[0]: https://github.com/tokay-lang/tokay

Tokay Programming Language\ (21 comments)

I am very interested in this project as a "better awk" is something I have often fantasized about.

I read all of the documentation that's available on https://tokay.dev/tokay-docs/, but unfortunately it never really... describes itself? Many sections, including the section on "parselets" are just unwritten. "Consumable" values are mentioned but never described (there is a "stub" section that doesn't really explain what the term means).

It begins with a pretty detailed description of value "severity" but doesn't really motivate why the concept exists. (I think that it's (basically) a way to very concisely discard certain matches? When there are "more important" matches around them?)

There are no examples of how I could use Tokay to "parse" something -- there are lots of examples dotted through the docs, but none of them demonstrate working with structured file formats, and they feel a little bit contrived.

I'm not complaining here: this project is not making any false claims about its status, the docs are clearly and explicitly unfinished, it is very clear that Tokay is still under active development.

But I want to learn more about it! I came away from that with a sense that, this has the potential to be really useful to me, but without any concrete evidence to support that. I guess the next step is to download the source and start reading through the tests.

All this to say: please highlight some examples showcasing situations where Tokay shines! (Parsing CSVs containing quoted strings was making the rounds recently, right? What does that look like in Tokay?)

Oh, actually, the GitHub readme has an example that is more involved than any in the documentation: https://github.com/tokay-lang/tokay

    _ : [ \t]+                # redefine whitespace to just tab and space

Marcel is one of the pipe-objects-instead-of-strings shells (https://marceltheshell.org).

Here's a blog post showing how to use marcel to generate graphs directly from the command line.

https://www.marceltheshell.org/post/generating-graphs-from-t...

Check out marcel (https://marceltheshell.org). It's yet another pipe-objects-instead-of-strings shell (like nushell). Unlike nushell, you pipe Python values. Marcel has no sublanguages (like awk, sed, ...). Instead, when logic is needed, you write Python code, delimited by parens. So:

    (USER)

It is a useful correction. This project predates the release of the movie: https://github.com/geophile/marcel/commit/bb6adacbb6b3a683ce...

Check out marcel: https://marceltheshell.org, and https://github.com/geophile/marcel. Both marcel and nushell start with the idea of piping structured data instead of strings, which is incredibly powerful. (This also applies to osh. I am the author of osh and marcel.)

Marcel (and osh) rely on Python types and language where typical shells have sublanguages. So instead of awk or find and their sublanguages, you just use Python. Instead of piping strings, you pipe streams of Python values.

Marcel lets you use Python on the commmand line. It also has an API which allows you to use shell-like commands inside of Python programs.

I wrote a shell, marcel, that pipes Python values instead of strings: https://marceltheshell.org.

It also does the inverse, allowing you to run marcel commands from Python, e.g. https://www.marceltheshell.org/scripting-1

Check out my entry, marcel: https://marceltheshell.org.

E.g., find the newest vlc instance and kill it (a command that an acquaintance needs frequently, for some reason):

    ps | select (p: p.name == 'vlc') | sort (p: p.create_time) | tail 1 | (p: p.signal(9))