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Data · github.com · Monday, 22 June 2026

PyCanopy brings native spatial queries to Polars, outpacing DuckDB and GeoPandas

PyCanopy adds a Rust‑backed, Polars‑native spatial layer that handles range, k‑NN and join operations without leaving the DataFrame API. Benchmarks on Apache SpatialBench show it beats DuckDB, Sedona and GeoPandas on most in‑memory queries, and even handles larger‑than‑RAM joins. Install via pip, no Rust toolchain needed.

Read the source: github.com ↗In the 22 June issue →