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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Rust tends to have CLI libraries that match or exceed their Python counterparts: Take a look at the derive APIs of clap (argument parsing) and Serde (JSON, TOML, YAML, etc.). Note that many things like csv and quick-xml support integrating with Serde's derive API for a better experience than Python's equivalent modules. Rust's ignore crate is like os.walk but with built-in "just flip the switch" support for parsing things like .gitignore and obeying them. Rust gives threaded performance that the multiprocessing module wishes it could match and Rayon often makes parallel processing as easy as replacing .iter() with .par_iter(). etc. etc. etc.
Rust things are easier to deploy: No virtualenvs vs. gambling with the system-wide packages, no "follow these steps to install". If you stick to pure Rust dependencies or dependencies which support statically linking their C components, a Rust binary is a self-contained executable and, if you specify the -C target-feature=+crt-static compiler flag when targeting Windows and use the *-musl targets when targeting Linux... via cross if necessary, then you'll get a Go-like self-contained binary that can be copied onto any system capable of running binaries with that platform triple with no worries about external dependencies.
Then I found a Rust clone: xh. It has almost the same UX. It's fast. Every invocation takes no time. Now I use it every day. It also has some subtle features like it doesn't re-order JSON keys in the response. When I do some DevOps jobs on a Linux server, I also use it because the author provides a musl version, so there is no need to worry about dependencies over newer C libraries.
Funny enough, there is an editor written in Rust called helix and its program is called hx.