We're chuffed to announce Apache SedonaDB 0.3.0! This release features a rewritten join that supports larger-than-memory spatial/KNN joins courtesy of Kristin Cowalcijk, 36 new functions, item-level CRSes, parameterized SQL queries, @gdal /pyogrio-based writes for FlatGeoBuf, Shapefile, and GeoPackage, GDAL/sf based reads in R, and the beginnings of an R DataFrame API.
@paleolimbot are you planning a GeoPandas like API as it is implemented in Sedona Spark?
@jakobmiksch I think Jia was hoping to experiment with that...GeoPandas in Spark was a little easier because there was already a Pandas compatibility layer for Spark. I would at least like a pythonic select, filter, and sjoin (even if it is not strictly aiming for compatibility).