gojson

> 1) Json/XML parsing is the easiest with no work (or minimal) required, you can just have the field names capitalized (or use stereotypes) and it gets done, with a line of code. Obligatory plug - if you're sick of writing out the struct definitions yourself, you can generate them from sample JSON: https://github.com/ChimeraCoder/gojson This is especially useful when implementing REST servers/clients, because you can simply include an example JSON response which your tests use, and then use `go generate` to autogenerate the struct. Since they're both based on the same file, you don't have to worry about keeping them in sync - if there are any changes to the response structure, you only have to update it in one place.

For what it's worth, you don't need to even need to type out the struct manually when unmarshalling JSON; you can generate it automatically[0] (this tool is compatible with `go generate`). In addition to the effects of being statically typed, which you mentioned, Go is a bit lower level than Python or Ruby, so it will always perform at least slightly worse when compared on a strict line-by-line basis. Fortunately, though, it's not that much more verbose in this case. And as an added benefit, the struct value, once unmarshalled, is typesafe (which is not true in Python[1]). [0] https://github.com/ChimeraCoder/gojson [1] Because Python is not only dynamically typed but strongly typed, I've more than once run into an issue where a misbehaving API returns a string instead of an int, and then Python throws a runtime exception because it can't