Five Ways to Export CSVs in Python with Benchmark Comparison | by Yosef Aziz | Data Engineer Things
Benchmarks results for polars against other widely used packages in rstats ! : r/rstats
The 3 Reasons Why I Have Permanently Switched From Pandas To Polars | Call me Ben
Polars — TPCH Benchmark
Polars - A lightning fast DataFrames library
Matthew Rocklin on LinkedIn: Spark, Dask, DuckDB, Polars: TPC-H Benchmarks at Scale | 16 comments
Pandas 2.0 vs Polars 0.17.7: Battle for Supremacy in Speed and Syntax | by Almogklein | Better Programming
Comparison of AUC polar of benchmark datasets. | Download Scientific Diagram
DuckDB vs Polars vs Spark! | Karn Wong
Apache Spark Benchmark for TPCH-SF10 – Small Data And self service
High Performance Data Manipulation in Python: pandas 2.0 vs. polars | DataCamp
Ritchie Vink (@ritchie46@fosstodon.org) on X: "Polars DataFrame library 0.8.4 is out. Latest weeks have seen a lot of performance improvements, leading to the fastest release to date. And it shows! *Note that
DuckDB vs Polars vs Spark! | Karn Wong
Polars: Pandas DataFrame but Much Faster | by Travis Tang | Towards Data Science
Database-like ops benchmark
Understanding the capabilities of Polars Python implementation - Sumon Dey
Polars Introduction for Python with a 128GB Ryzen 24-core Benchmark vs Pandas - YouTube
Ritchie Vink (@ritchie46@fosstodon.org) on X: "Pandas 2.0 vs Polars 0.16.10 I see people taking the wrong conclusions from this microbenchmark. Here are the results of pandas with arrow backed datatypes vs polars
Database-like ops benchmark
Polars (Rust DataFrame library) join algorithm fastest in db-benchmark : r/rust
Paul Simmering - Data frame wars: Choosing a Python dataframe library as a dplyr user
Benchmarking Performance: Polars vs. Vaex vs. Pandas | by Asimandia | Medium
High Performance Data Manipulation in Python: pandas 2.0 vs. polars | DataCamp
I wrote one of the fastest DataFrame libraries | Ritchie Vink
