[tianqi]

It is an interesting tool. I've been struggling with Office Excel's inability to open large files. I always work with csv in python, and if a client must review the data in Excel, I take a random sample to generate a smaller file, then explain to the client that we can't open the whole in Excel. This really doesn't seem like a modern work.

"a slow, old pc with 8GB RAM"

By the way, this struck me like a humour of era. Oh god it has 8GB RAM. Cheers! To the good old days.

[coldcache]

I've been using Tad [0] for this purpose, as it streams in the data.

[0] https://www.tadviewer.com

[samzub]

Fully agree, I have found that above 300k rows Excel struggles even on a good laptop. Not even mentioning the Python integration into MS Excel that is so unbearably slow that it is much better performing the calculations outside of Excel first.

I am sold on the website looks and license model!

[microflash]

These days I use DuckDB to read massive excel files. DuckDB now ships with a nice local UI and it also works beautifully with Datagrip, my preferred database IDE. With SQL, it just becomes a matter of applying old grease to do whatever analysis I want.