bpaf VS datafaker

If you want to make smart decisions depending on widths of the cells - you have to consume the whole iterator to see what is the widest cell out there, it could be the last one for example. During that iteration you'll want either to store the values somehow or store preformatted bits in a string - something like this https://github.com/pacak/bpaf/blob/master/src/buffer.rs

bpaf does it here, giving access to primitives like "dump names of this parser" or "dump help for this subparser": https://github.com/pacak/bpaf/blob/semantic/src/docugen.rs

https://github.com/pacak/bpaf/blob/master/src/from_os_str.rs - a concrete example

https://github.com/pacak/bpaf/issues/50 - I would appreciate some feedback from a new user on naming conventions used - there or here is fine.

Most of the code change is here: https://github.com/pacak/bpaf/pull/57 https://github.com/pacak/bpaf/pull/60

Something like this, handles example from the ticket at least (sans hex digits) https://github.com/pacak/bpaf/blob/master/examples/sensors.rs

see https://github.com/pacak/bpaf/blob/rc-0.5.5/examples/custom_usage.rs

Looks like that link doesn't actually go where it says, try this https://github.com/datafaker-net/datafaker

Give it a try https://github.com/datafaker-net/datafaker

Looks a lot like DataFaker Any pros and cons or differences compared to this?

Great library, and thanks for sharing. I maintain something add similar but different (https://www.datafaker.net), and it would be interesting to be able to use these libraries together for example.

For example, I run a project (https://www.datafaker.net), which is currently a Java application, but we'd like to extend it with a Kotlin module.

I'm running a project myself, https://www.datafaker.net, a project to generate real looking test data.