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.

Awesome Polars

• Awesome Polars
  • Official documentation
  • Libraries/Packages/Scripts
    • Python
    • Rust
    • R
    • Node.js
    • Scala/Java
    • Ruby
  • Resources
    • Cheat Sheets
    • Tutorials & workshops
    • Blog posts
    • Talks and videos
  • Follow : Official
  • Contributing

Official documentation

• Documentation - Official user guide for Python, Rust and R.
• Documentation for Python API - Official API Reference for Python.
• Documentation for Rust API - Official API Reference for Rust.
• Documentation for Node.js API - Official API Reference for Node.js.
• Documentation for R API - Official API Reference for R (WIP).
• Github: Polars Github Organization - Official Polars Github repository.
• Blog posts from Polars - Official blogs posts from Polars.
• Keynote on Polars at EuroSciPy 2023 ⏳ 57 min - Talk by @ritchie46 that dives into Polars and sees what makes it so efficient. It will touch on technologies like Arrow, Rust, parallelism, data structures, query optimization and more.

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

Libraries/Packages/Scripts

Python

• polars for Python - Python polars package to use polars DataFrame from Python.
• tidypolars tidypolars python library built on top of polars library that gives access to methods and functions familiar to R tidyverse users.
• Working with Polars and XlsxWriter - Guide to using the Python XlsxWriter library with Polars to create Excel reports.
• Python package seaborn_polars - Python package to plot Polars DataFrames and LazyFrames with seaborn by @pavelcherepan.
• Python package functime - Machine learning Python package built on Polars for time-series predictions by @neocortexdb. According to the developpers, it's the world's fastest and most feature-full machine learning forecasting library !

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.

Node.js

• nodejs-polars for Node.js - Node.js nodejs-polars package to use polars DataFrame from Node.js.

Scala/Java

• scala-polars for Scala and Java - Scala - Java scala-polars is a library for using Polars in Scala and Java projects by @chitralverma.

Ruby

• polars for Ruby - Ruby polars-df gems to use Polars with Ruby.

Resources

Cheat Sheets

• Polars Cheat Sheet - A Polars Cheat Sheet by @FranzDiebold.

Tutorials & workshops

• Modern Polars - A side by side comparison between Polars and Pandas containing code in both frameworks by @kevinheavey.
• Polars: um simples mas prático tutorial - Tutorial in the format of an ipynb notebook that illustrates several features of Polars in Portuguese by @barbosarafael. Associated github repository is here.
• A Practical Comparison of Polars and Pandas - A tutorial that showcases several common operations in Pandas and Polars side by side to demonstrate how much easier Polars is by @FlorianWilhelm. There is also an accompanying Jupyter notebook available.
• Prise en main de Polars - A notebook tutorial in French that illustrates the main features of Polars by @romaintailhurat and @linogaliana. There is also an accompanying blog post .
• Running Polars code distributedly - A page that explains how to rung Polars code distributedly with Fugue by @fugue-project.
• Converting SQL Queries to Polars DataFrames with JupySQL - A tutorial that explains how to convert SQL queries to Polars DataFrames using JupySQL by @ploomber.
• How to display Polars dataframes with itables - A tutorial that explains how to display Polars dataframes with itables by @mwouts.
• Rust Polars: Unlocking High-Performance Data Analysis — Part 1 - First part of an article that explores the world of Rust’s Polars and explain some basic concepts of Polars such as Series by @wiseaidev. Code used is available on Github here.
• Fast String Processing with Polars — Scam Emails Dataset - A tutorial using Polars to implement a text processing pipeline process by @AntonsRuberts. Code used is available on Github here.
• Cookbook Polars for R - A side-by-side comparison of Polars, R base, dplyr and data.table packages by @ddotta.
• Polars Workshop on AWS - A comprehensive workshop comparing Polars to Pandas, exploring a wide range of functions and features by @debnsuma.
• Polars cookbook in Python - This cookbook is a fork of the popular pandas-cookbook and has been modified to use the polars library. By @escobar-west, it uses real-world examples with "all the bugs and weirdness that entails."
• Data Pipelines with Polars: Step-by-Step Guide - A tutorial that explains how to build data pipelines with Polars by @AntonsRuberts. Code used is available on Github here.
• Python Polars: A Lightning-Fast DataFrame Library - A tutorial that shows how to use Polars with Python ecosystem by @hfhoffman1144. Code used is available on Github here.

Blog posts

• Using the Polars DataFrame Library - A blog post by Wei-Meng Lee to discover the basics of Polars and how it can be used in place of Pandas.
• Why Polars uses less memory than Pandas - A blog post by Itamar Turner-Trauring detailing some techniques to opptimize Pandas memory usage and see how Polars can provide an answer in some cases.
• Plodding with Polars in Python - A blog post by @amitrathore that introduces some basic features of Polars.
• Polars-lazy - A blog post by @ritchie46 and @jorgecarleitao that introduces Polars' lazy API in Rust.
• Series of posts on Polars - A series of blogpost on Polars usage with a lot of useful tricks and information by @braaannigan. Moreover, Liam also has a Data Analysis with Polars course on Udemy.
• Youtube videos about Polars - A series of short youtube videos about Polars by @braaannigan
• Alternatives to Pandas: Python Polars - An article that explores the Python Polars module as an alternative to Pandas, comparing their similarities and differences and providing some examples by @JohnLockwood
• Pandas vs Polars - A comparison on File I/O - A blog post that evaluates Polars and Pandas in terms of I/O performance and speed when handling large datasets by Wes Poulsen.
• Discover the Power of Polars Library for Fast and Efficient Data Manipulation in Python - An article that quickly compares Polars to other data manipulation libraries by Morpheus.
• Why is Polars All The Rage? - An article that explains why Polars will become very popular by SeattleDataGuy and Daniel Beach.
• Polars vs Pandas — 4 key concept differences - An article that helps to understand key differences between Pandas and Polars Data Science libraries by @DataScienceDisciple.
• Replacing Pandas with Polars. A Practical Guide - A blog post comparing some common functions between Pandas and Polars by @danielbeach. Code used is available on Github here.
• Dataframe Showdown – Polars vs Spark vs Pandas vs DataFusion. Guess who wins? - A short article that presents a performance test between Polars, Pandas, Datafusion and Spark on a csv dataset by @danielbeach. Code used is available on Github here.
• 7 Easy Steps To Switch From Pandas to Lightning Fast Polars And Never Return - A cheat sheet blog post of the most common Pandas operations translated into Polars by @BexTuychiev.
• Polars for initial data analysis, Polars for production - A blog post that shows how to use Polars for initial data analysis and then effectively in production by @itamarst.
• DuckDB vs Polars vs Spark! - An article that performs a benchmark against duckdb/Polars/spark, with varying row count, with swap usage as another metric, in addition to runtime in seconds. Code used is available on Github here.
• Benchmarking PySpark Pandas, Pandas UDFs, and Fugue Polars - A blog post that compares the execution time of fugue + Polars, Pandas UDFs and PySpark Pandas by @kvnkho.
• Pandas vs. Polars: The Battle of Performance - An another blog post that compares the performance between Pandas and Polars across a range of common data manipulation tasks by @makeuseofcode. Code used is available on Github.
• Pandas 2.0 vs Polars: The Ultimate Battle - A blog post that analyzes in terms of Syntax, Speed, and Usability between Pandas 2.0 and Polars 0.17.0 by @priyanshu7401.
• Polars - modern data frame library - A blog post that describes why Polars could be a better alternative to pandas, dplyr or data.table by @DSkrzypiec.
• The fastest way to read a CSV file in Python - A blog post that compares different ways (including Polars, pyarrow and C) to read a CSV file with Python by Finn Andersen.
• Pandas vs Polars vs Pandas 2.0 …. FIGHT - A blog post that does an ETL process for checking big data speed processing between Pandas, Pandas 2.0 and Polars by @guoliveira.
• Pandas vs Polars vs Pandas 2.0 … ROUND 2) - A blog post that makes a new comparison between Pandas, Pandas 2.0 and Polars by @guoliveira.
• Polars VS PySpark: Lazy Evaluation and Big Data - A blog post that compares lazy evaluation between Polars and Spark by @guoliveira.
• Polars in the aRtic! - An another blog post that compares the performance between Pandas and Polars across a range of common data manipulation tasks by @MCodrescu. Code used is available on Github.
• A Polars exploration into Kedro - A blog post that explains how Polars can be used instead of pandas in Kedro for your data catalog and data manipulation by @astrojuanlu.
• High Performance Data Manipulation in Python: pandas 2.0 vs. polars - A blog post that compares differences between Python pandas 2.0 and Polars libraries by @jcanalesluna.
• Lightning-fast queries with Polars - Another blog post that is a good introduction to Polars by @astrojuanlu.
• Polars – Laziness and SQL Context. - A blog post that presents two good reasons to adopt Polars : Lazy and SQL Context by @danielbeach.
• Exploring Polars - The Lightning-Fast DataFrame Library in Python - A blog post on the basics of Polars by @mddas.
• Pandas vs Polars – Speed Comparison - A blog post that compares the performance of Polars, Pandas and Pandas 2.0 by @StuffbyYuki. Code used is available on Github here.
• LazyFrame vs DataFrame in Polars – Performance Comparison - A blog post that introduces what LazyFrame is in Polars and its performance gain compared to DataFrame by @StuffbyYuki. Code used is available on Github here.
• Querying Polars DataFrames using SQL - A blog post that shows how to use the SQLContext object in Python to query a Polars DataFrame directly using SQL by @weimenglee.
• Polars vs Pandas: A Brief Tale of Two DataFrame Libraries - A blog post that compares Polars and Pandas focusing in particular on optional dependencies by @ranggakd.
• EDA with Polars: Step-by-Step Guide for Pandas Users (Part 1) - A blog post that describes the main data processing operations with Polars in Python by @AntonsRuberts. Code used is available in this notebook.
• EDA with Polars: Step-by-Step Guide to Aggregate and Analytic Functions (Part 2) - A blog post that shows how to perform with Polars and Python some fairly complex aggregates, rolling statistics and more by @AntonsRuberts. Code used is available in this notebook.
• Pyspark or Polars — What should you use? - A blog post that explores and breaks down some of the similarities between PySpark and Polars. It provides insights on when to choose one over the other by Vivek Kovvuru.
• Getting Started with the Polars Data Manipulation Library - A blog post that presents some simple features of Polars using Python by Juveriya Mahreen.
• 8 ways pandas really losing to Polars for quick market data analysis - A newsletter that compares the performance of Polars to Pandas for many common data manipulation techniques by PyQuant News.
• All that Polars that Make You Forget Pandas - A blog post that explores some deeper reasons behind the performance gains of Polars over Pandas.
• Polars vs Pandas. Inside an AWS Lambda - A blog post that covers the topic of using Polars vs Pandas inside an AWS Lambda to do data processing by @danielbeach. Code used is available on Github here.
• DuckDB vs Polars for Data Engineering - A blog post that compares Polars and DuckDB with pipelines for Data Engineering by @danielbeach.
• Pandas vs Polars: A database speed test. Who wins? - A blog post that compares the run-time of reading a database into a dataframe using Pandas versus using Polars by Thomas Reid.
• Polars and Pandas : What's the difference ? - A blog post that explains how Polars works under the hood and th best use cases for Polars and Pandas by @t-redactyl.
• Understanding the Polars nested column types - A blog post that helps to understand how nested column types works in Polars by @braaannigan.
• Polars vs DuckDB for Delta Lake ops - A blog post that compares Polars to DuckDB using Delta Lake by @wolliq.

Talks and videos

• Polars: Blazingly Fast DataFrames in Rust and Python ⏳ 37 min - Introduction to Polars by databricks.
• Polars: The Next Big Python Data Science Library... written in Rust? ⏳ 14 min - A short video tutorial to get started coding with Polars by @RobMulla.
• The Last Polars Dataframe vs. Pandas Dataframe Video You Should Ever See ⏳ 19 min - A video that compares Polars and Pandas data frames.
• The Best library for building Data Pipelines... ⏳ 12 min - A video that compares Pandas, Spark and Polars for working with data in Python by @RobMulla.
• Expressive & fast dataframes in Python with polars ⏳ 28 min - A video that reviews some alternatives to Pandas for Python and then demonstrates some Polars features by Juan Luis Cano Rodríguez.
• Polars Introduction for Python with a 128GB Ryzen 24-core Benchmark vs Pandas ⏳ 12 min - A video that provides an introduction to Polars for Python by @jeffheaton. Notebook used for the video in this github repo.
• Polars: The main alternative to pandas in Python!? ⏳ 57 min - A Polars tutorial series on Youtube by @martinbel. Notebooks and datasets used for the videos available in this github repo.
• Polars vs Pandas ⏳ 37 min - A detailed video on Youtube that compares Polars and Pandas by @hu-po.
• Polars: The Super Fast Dataframe Library for Python — Goodbye Pandas? - An article and a video ⏳ 19 min that explores some basic features of Polars by @ifrankandrade
• Manipulación de Datos con Polars en python ⏳ 51 min - A detailed tutorial video in Spanish that shows 20 Polars functions to perform 80% of the tasks of a data scientist by Naren Castellon.
• An opinionated introduction to Polars - Great Polars introduction slides from @krlng at PyCon 2023.
• Polars - make the switch to lightning-fast dataframes ⏳ 30 min - A talk that reports an experience switching from Pandas to Polars in a real-world ML project by @datenzauberai. Slides are available here.
• Polars vs Pandas | detailed test with explained results ⏳ 22 min - A video that presents 8 distinct tests which demonstrates differences between Pandas and Polars by @vb100. Associated github repo is here.
• Polars: A highly optimized dataframe library ⏳ 20 min - A video that presents some mains features of Polars by @mattharrison.
• How to update mass data using Polars DataFrame ⏳ 9 min - A video that presents the process of writing code to update mass columns across CSV or data files by @AmitXShukla. Notebook used for the video in this github repo.
• Using the Rust Polars DataFrame library in a CLI ⏳ 4 min - A video that shows how to integrate Polars in a commande line interface by @paiml.
• The Ultimate Guide to Data Wrangling with Python | Rust Polars Data Frame ⏳ 10 videos - A playlist of 10 videos (WIP) that equips you with all the necessary knowledge required to utilize Python Polars Data Frame by @AmitXShukla.

Follow : Official

• pola-rs (@pola-rs) - Github organisation for Polars (Twitter: @DataPolars).
• Ritchie Vink (@ritchie46) - Author of Polars
• Stijn de Gooijer (@stinodego) - Member of Polars organisation
• Danny van Kooten (@dannyvankooten) - Member of Polars organisation
• Søren Havelund Welling (@sorhawell) - Member of Polars organisation
• Alexander Beedie (@alexander-beedie) - Contributor to Polars projects
• Marco Edward Gorelli (@MarcoGorelli) - Contributor to Polars projects
• Eitsupi (@eitsupi) - Contributor to R Polars project
• Etienne Bacher (@etiennebacher) - Contributor to R Polars project

Contributing

• Damien Dotta (@ddotta) - Maintainer of Awesome Polars list

Thanks goes to these contributors!