Process large (e.g. 4GB+) data sets in a spreadsheet.

Load GB/32 million-row files in seconds and use them without any crashes using up to about 500GB RAM.

Load/edit in-place/split/merge/clean CSV/text files with up to 32 million rows and 1 million columns.

Use your Python functions as UDF formulas that can return to GS-Calc images and entire CSV files.

Use a set of statistical pivot data functions.

Solver functions virtually without limits for the number of variables.

Create and display all popular chart types with millions of data points instantly.

Suggestions for improvements are welcome (and often implemented quite quickly).

LibreOffice has Python integration.

https://help.libreoffice.org/latest/en-US/text/sbasic/python...

So I'll take a layman's view here since I've only cursory experience of the big data tasks that this software seems to made for. Or maybe the pitch is still different and it went over my head.

It loads quick, and works with large data. Crucially, you can view and edit visually, not only programmatically.

Assuming those already working with such data have Excel and Python tools etc., the pitch here is that the $39 license fee saves time or effort. So, is it that the user can spot and correct errors that you couldn't otherwise do with either Excel or with other big data tools? And/or otherwise do the necessary data manipulations?

I came across the phrase 'eyes like a shithouse rat' recently, to describe the people doing final checks at a printing press. I think there's probably plenty of people out there who would pay $39 for eyes like a shithouse rat.

Also the website makes me nostalgic :)

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.

It all sounds very compelling , great work! But I have to ask, what’s the catch? This almost seems like it’s ready to fully replace Excel but I’ve seen many things die in that pursuit. What will Excel users miss by switching?

I’m don’t do a ton to big data stuff, but sometimes despite Excels stated row and column support- I find it effectively melts down if even 100K/100 of data and forget adding formulas.

Looks very cool, but Windows only?

https://rowzero.io/ can handle 1 billion+ rows and offers native Python support. Also compatible with Excel and Google Sheets. However it’s a cloud based solution, and the private hosting option is only available to Enterprise users.