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I really like Visidata for "exploring" csv-type data.

Its a vi(m) inspired tool.

It also handles xls(x), sqlitedb and a bunch of other random things, and it appears to support parquet via pandas:

https://www.visidata.org/docs/loading/

Nice one!

I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives.

https://zeppelin.apache.org/

The "real" format being binary with debugging tools is absolutely the best way to go. For example, you can use `nio print` (or even just `nio p`) in the Nim multi-program https://github.com/c-blake/nio to get "text debugging output" of binary files.