datatable VS Gooey

Aside from that, there is a Python translation of data.table (see documentation here), which might be worth looking into. However, it hasn't had any major updates in a while: the last release 2 years ago ...

There's datatable. I haven't used it much, but the R version (data.table) is phenomenal.

just use HDF5 or Parquet, or CSV + https://github.com/h2oai/datatable to speed up the file reading.

> For me I had with pandas the most issues using it's multiindex.

Yessss. I loathe indices, and have never been in a situation where I was better off with them than without them.

> Regarding fast you have something like Vaex on python sid

I've never used Vaex, but I've used datatable (https://github.com/h2oai/datatable) and polars (https://github.com/pola-rs/polars). Polars is my favorite API, but datatable was faster at reading data (Polars was faster in execution). I'll have to give Vaex a try at some point.

Yep. I think this is the downside to a package being entirely maintained by volunteers. In any case, Pandas is still the leading data wrangling package for Python. (I'm excited to see how datatable evolves.)

h2o's data.table clone is fine

https://github.com/h2oai/datatable

The name conflicts with a similar python module that allows one to turn any Python console program into a GUI with one line.

https://github.com/chriskiehl/Gooey

Hey! Cool project! I have a question: why do you dump out sys.argv to a local file in the CWD? [0] tmp.txt is hardly a unique name… or am I missing something and this never triggers?

[0] https://github.com/chriskiehl/Gooey/blob/be4b11b8f27f500e732...

This might be of interest to you:

> Gooey - Turn (almost) any Python 3 Console Program into a GUI application with one line

https://github.com/chriskiehl/Gooey

I love gooey: https://github.com/chriskiehl/Gooey

It allows me to quickly slap a GUI on an existing script that accepts command-line-arguments. In the end, I get the best of both world: Discoverability from the GUI, automation through the script, and automatic feature parity between the two.

Downside: Control over the GUI layout is basic, and only "standard" GUI features work, but I never felt limited when using it.

similar for local/individual usage:

https://github.com/chriskiehl/Gooey - take a python-CLI, make a TK-windows

and then probably even simple dashboarding like streamlit.

Like Gooey?

As for how I'd handle it, I would probably combine both into one command-line program, with all filepaths using pathlib and letting argparse handle the options. That way you could optionally generate a GUI with gooey with little extra effort, although this would also add a dependency.