duf VS tokei

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

Somewhat related - `duf` is "a better `df` alternative":

https://github.com/muesli/duf

I'm normally using duf but this looks pretty neat.

Otherwise the last option is to get the deb/appimage files from their official git repos or website, like for my use cases, MongoDB Compass (which was not officially maintained on flatpak) or duf (not available in Ubuntu repos)

duf

What cool CLI tools do you know, that are do something faster than regular commands, and do something useful? For example: https://github.com/muesli/duf.

duf - Disk Usage/Free Utility - a better 'df' alternative.

So If we would only count code and not comments, it is only 9489 LoC Rust. Which would be about 0.03% and if we take all lines and not only LoC it would be around 0.05%

[0] https://github.com/XAMPPRocky/tokei

[1] https://github.com/torvalds/linux/commit/b401b621758e46812da...

thirdly: found this (https://github.com/XAMPPRocky/tokei) and wanted to analyze languages used on my system, didn't see a package manager (apt) for it that I had. So i installed cargo via apt-get rustup. Added the bin folder to $PATH via PATH=$PATH:~/.cargo/bin. But did not make it permanent. And stupidly rand tokei on "/", realizing how long and unhelpful that would be killed it. Then ran it in a dump folder with some very nested repo dumps, and tons of wolfram.nb files. After killing that too, and attempting to kill via system monitor. Still have two of those as zombie processes.

tokei

For what it's worth, tokei seems to be named after tokei.

BTW, for more info on how it is done, you can check out tokei which is the library use by onefetch for code statistics.

With pytokei you can count code quickly using all the power from tokei, but from python.

Tokei is a nice utility to count lines and stats of code. It is very fast, accurate, and has a nice output. It supports over 150 languages and can output in JSON, YAML, CBOR, and human-readable tables.