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awesome-polars's Introduction

Awesome Track Awesome List

A curated list of Polars docs, talks, tools, examples & articles the internet has to offer.

Polars is a lightning-fast DataFrame library for Rust, Python, Node.js and R.
Implemented in Rust, Polars uses Apache Arrow Columnar Format as the memory model.


Contributions of any kind welcome!

Just follow the guidelines by either:

To see the latest entries in the list : click here !

Awesome Polars

Official documentation

August 2023 : Polars announces that it has raised a a $4M seed round!

Libraries/Packages/Scripts

Python

Rust

  • polars for Rust - Rust polars crate to use polars DataFrame with Rust.
  • Polars CLI Polars CLI is a command line interface for running SQL queries with Polars as backend.
  • GeoPolars Geopolars Rust crate that extends the Polars DataFrame library for use with geospatial data.

R

  • rpolars for R - R rpolars package to use polars DataFrame from R.
  • tidypolars for R tidypolars package to use polars with tidyverse syntax.
  • polarssql - polarssql experimental package which is a DBI-compliant interface to Polars.

Node.js

Scala/Java

Ruby

Resources

Cheat Sheets

Tutorials & workshops

Blog posts

Talks and videos

Follow : Official

Contributing

Thanks goes to these contributors!

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