dlt is a python library that you can probably plug into the OpenRefine java application to enable moving the data somewhere easily and into different formats, making OpenRefine more useful in a connected environment.

I would not say they are similar - rather OpenRefine is made for visual data cleaning, while dlt is made for automation of data movement with structuring and typing to enable crossing different format standards with ease.

Together you should have a good combination of automation and manual tweaking option if needed.

I'd say they're complimentary. One could use dlt to load the data and then use OpenRefine for to clean/transform it. dlt already does when combined with dbt, for example.

For future reference, that's "complementary". By far one of the most common mistakes (at least, among relatively uncommon words).

Yes it's pretty common :). I did notice the funny looking spelling after I hit reply but there was no way to edit it.

Interesting. Usually editing is enabled for some window of time, but perhaps not for new accounts.