eCommerce Benchmarks 2023: KPI Benchmarking by Polar Analytics
Understanding the capabilities of Polars Python implementation - Sumon Dey
Polars — TPCH Benchmark
High Performance Data Manipulation in Python: pandas 2.0 vs. polars | DataCamp
Polar Analytics on LinkedIn: eCommerce Benchmarks 2023: KPI Benchmarking by Polar Analytics
New Publication: “PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears”
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
Ritchie Vink on LinkedIn: Polars 0.17.0 is released. 🐻❄️ I compared the db-benchmark groupby…
Polars (Rust DataFrame library) join algorithm fastest in db-benchmark : r/rust
Database-like ops benchmark
Benchmarking for Pandas and Polars Using CSV and Parquet File : r/Python
I wrote one of the fastest DataFrame libraries | Ritchie Vink
Benchmarking pandas against Polars from a pandas point of view | by Patrick Hoefler | Level Up Coding
Polars: Pandas DataFrame but Much Faster | by Travis Tang | Towards Data Science
Polars - A lightning fast DataFrames library
Benchmarking Performance: Polars vs. Vaex vs. Pandas | by Asimandia | Medium
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
The 3 Reasons Why I Have Permanently Switched From Pandas To Polars | Call me Ben
Matthew Rocklin on LinkedIn: Spark, Dask, DuckDB, Polars: TPC-H Benchmarks at Scale | 16 comments
High Performance Data Manipulation in Python: pandas 2.0 vs. polars | DataCamp
Paul Simmering - Data frame wars: Choosing a Python dataframe library as a dplyr user
DuckDB vs Polars vs Spark! | Karn Wong
Database-like ops benchmark
Benchmarks results for polars against other widely used packages in rstats ! : r/rstats
