144 points simicd 2 hours ago 22 comments
dkgs 1 hour ago | parent
orlp 1 hour ago | parent
From a quick check our first PRs were merged to the 2.0 branch in June:
2026-06-17T21:27:51Z #27993 chore: Stop coercing `pl.col(...)` to selector ...
2026-06-18T14:19:26Z #27996 chore!: Replace multi-seed hash API with a single seed
2026-06-19T07:05:11Z #27991 chore(python!): Remove `Expr.flatten` functionhnd9q09qk4 1 hour ago | parent
sgarland 1 hour ago | parent
gozzoo 1 hour ago | parent
392 1 hour ago | parent
vovavili 43 minutes ago | parent
Vast majority of skilled developers are now using Polars, unless they are constrained by lack of Narwhals support in their third-party library of choice (e.g. Great Expectations, SHAP). That's the more important trend to follow.
esco2292 59 minutes ago | parent
adeptima 31 minutes ago | parent
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.
ritchie46 5 minutes ago | parent
desipenguin 53 minutes ago | parent
> 1 Billion Row Challenge benchmark: Pandas took 4m28s vs. Polars 5.04s and DuckDB 5.19s — DuckDB also used 19x less memory
Python Vs Rust : In terms for speed - No comparison
(The above episode transcript has a link to blog post titled "Pandas should go extinct" )
lmeyerov 14 minutes ago | parent
It's been impressive!
Kinrany 1 hour ago | parent
esafak 30 minutes ago | parent
dartharva 49 minutes ago | parent
therno 42 minutes ago | parent
Happy that I can upgrade to 2.0 final tonight.