panstacks / pandata Goto Github PK

STAC is a metadata spec and COG is a thriving format that should probably be separated from HDF, GRIB, and NetCDF in order to reduce confusion.

See https://docs.google.com/presentation/d/1k1bHj-H92LPXCKealUzqYUiOnqsCP4u27H57f6k2BcQ/edit#slide=id.g1e90ac8b347_0_31
and https://guide.cloudnativegeo.org/ which covers COG and Zarr as different cloud optimized format options.

COGs are great for 3 dimensional (x, y, band), sparse data (satellite scenes) that need to maintain geographic projection information.

Please stop using the green legacy Panel logo. Use the blue one instead. Then green one gives everything a dusty impression.

Thanks.

I see it for example a the top of the README.

https://user-images.githubusercontent.com/1695496/257931733-43d74f8c-1cc9-4244-affc-1ee6f4bef3b0.png

May I suggest that you add Polars to the stack?

It can help solve real problems for real people (e.g. https://www.confessionsofadataguy.com/polars-vs-pandas-inside-an-aws-lambda/), and like the rest of the tools, is also free and open source

You already have multiple tools which do similar things in the visualisation part, so I'd suggest having an extra (powerful) tool in the "data API" part

Furthermore, note that the visualisation tools noted typically do support Polars by leveraging the DataFrame Interchange Protocol