There is a geospatial package for duckdb though which is pretty slick. It is actually how I first learned of duckdb. We were dealing with nationwide parcel datasets and need to apply transformations nationwide and save out to more parquet files. It was easier and cheaper to replace all of the pandas workloads with duckdb.

it’s on the correct path. i use rust for geo spatial and the gap with c, c++ closing rapidly or negligible in most cases

from https://github.com/pola-rs/geopolars/tree/main

Comparison with GeoPandas

Imitation is the sincerest form of flattery! GeoPandas — and its underlying libraries of shapely and GEOS — is an incredible production-ready tool.

GeoPolars is nowhere near the functionality or stability of GeoPandas, but competition is good and, due to its pure-Rust core, GeoPolars will be much easier to use in WebAssembly.