up VS gdu

This fx rewrite is very exciting. I'll have to try it. I thought of fx as a wrapper around jq, that allowed quick iteration over building jq scripts. Sort of an Ultimate Plumber [1] but only for jq. It looks like it is now more like a JavaScript processor plus an interactive viewer.

Someone mention Visidata[2]? VisiData is also a TUI that is great on tabular data, and it can work with json. If your JSON is mostly tabular in nature, Visidata does a great job at showing that data and allowing you to explore it. A lot of json I deal with is tabular-like data. There is a great tutorial [3], that can help you get your bearings with Visidata. Once you understand those basics you might want to look at this thread [4] for what commands you can use with json.

[1] Ultimate Plumber: https://github.com/akavel/up

Ultimate plumber can do this.

https://github.com/akavel/up

Been using up for years but this looks nice too

Fun. But I can achieve the same result (I think) with ultimate plumber and regular jq, but without being restricted just to jq. Feel free to correct me.

Up - The Ultimate Plumber makes the best pipes !

As an alternative allowing the use of any shell command/pipeline on the results interactively, see also: https://github.com/akavel/up

Would https://github.com/akavel/up solve your problem?

Not sure these are really popular, but I cannot resist advertising a few utilities written in Go that I regularly use in my daily workflow:

- gdu: a NCDU clone, much faster on SSD mounts [1]

- duf: a `df` clone with a nicer interface [2]

- massren: a `vidir` clone (simpler to use but with fewer options) [3]

- gotop: a `top` clone [4]

- micro: a nice TUI editor [5]

Building this kind of tools in Go makes sense, as the executables are statically compiled and are thus easy to install on remote servers.

[1]: https://github.com/dundee/gdu

[2]: https://github.com/muesli/duf

[3]: https://github.com/laurent22/massren

[4]: https://github.com/xxxserxxx/gotop

[5]: https://github.com/zyedidia/micro

For anyone that likes ncdu I would highly recommend gdu. https://github.com/dundee/gdu

gdu is faster

gdu - Just a very fast and cool disk usage explorer

The RPCS3 flatpak lives in /home/deck/.var/app/net.rpcs3.RPCS3. I'd advise you to install a tool like gdu or use something like du -h --max-depth=1 in the console in that directory, to find where the disk usage goes. There are also GUI tools, but I prefer these myself.

While ncdu does the job I've found gdu (similar tool written in Go) significantly faster for larger directories.

https://github.com/dundee/gdu

There's also gdu, which is much faster on SSDs.