Hikari VS tokei

This reminds of a list I’ve been compiling for the past couple of years: English-language software or products with names taken from Japanese. I find them interesting because there has long been awareness, discussion, and controversy in Japan about the the opposite phenomenon—English words used in Japanese.

The following examples all came from HN:

Koi Pond, a load testing tool. Koi (鯉) means “carp.”

https://slack.engineering/load-testing-with-koi-pond/

Anki, a flash card tool. Often mentioned in HN discussions. Anki (暗記) means “memorization.”

https://apps.ankiweb.net/

Bento, a framework for development of Linux kernel file systems. A bento (弁当) is a meal in a box.

https://arxiv.org/abs/2005.09723

Umami, a website analytics tool. Umami (旨味)’s original meaning is “taste, flavor, deliciousness”; it now also refers to a particular basic taste sensation.

https://umami.is/

Senpai, a gaming assistant. Senpai (先輩) means “someone senior to or older than one, typically in an educational or workplace hierarchy.”

https://senpai.gg/

Shodan, a search engine. Shodan (初段) means “first-level ranking in a skill, etc.).”

https://www.shodan.io/

YubiKey, an authentication device. Yubi (指) means “finger.”

https://www.yubico.com/

Asahi Linux. Asahi (朝日, 旭) means “morning sun.”

https://asahilinux.org/about/

Neko, a virtual browser. Neko (猫) means “cat.”

https://github.com/m1k1o/neko

Kaitai Struct, a declarative language for binary data structures. Kaitai (解体) means “disassembly.”

https://kaitai.io/

Hikari, a custom logon script engine for Windows. Hikari (光) means “light.”

https://github.com/NoenDex/Hikari

Hikari, a Wayland compositor.

https://hikari.acmelabs.space/

Hikari, a thread manager and dispatcher.

https://artificialilliteracy.wordpress.com/2015/06/27/introd...

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.