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{"slug": "ddotta--awesome-polars", "title": "Awesome Polars", "description": "A curated list of Polars talks, tools, examples & articles. Contributions welcome !", "github_url": "https://github.com/ddotta/awesome-polars", "stars": "1.1K", "tag": "Programming Languages", "entry_count": 303, "subcategory_count": 13, "subcategories": [{"name": "General", "parent": "", "entries": [{"name": "Awesome Polars", "url": "#awesome-polars", "description": ""}, {"name": "Documentation", "url": "https://pola-rs.github.io/polars-book/user-guide/", "description": "Official user guide for Python, Rust and R."}, {"name": "Documentation for Python API", "url": "https://pola-rs.github.io/polars/py-polars/html/reference/", "description": "Official API Reference for Python."}, {"name": "Documentation for Rust API", "url": "https://docs.rs/polars/latest/polars/", "description": "Official API Reference for Rust."}, {"name": "Documentation for Node.js API", "url": "https://pola-rs.github.io/nodejs-polars/index.html", "description": "Official API Reference for Node.js."}, {"name": "Shared library plugins for Polars", "url": "https://github.com/pola-rs/pyo3-polars", "description": "", "stars": "306"}, {"name": "Documentation for R API", "url": "https://pola-rs.github.io/r-polars/", "description": "Official API Reference for R."}, {"name": "Github: Polars Github Organization", "url": "https://github.com/pola-rs", "description": "Official Polars Github repository."}, {"name": "Blog posts from Polars", "url": "https://www.pola.rs/posts/", "description": "Official blogs posts from Polars."}, {"name": "Keynote on Polars at EuroSciPy 2023", "url": "https://www.youtube.com/watch?v=GTVm3QyJ-3I\\&t=43s", "description": ""}, {"name": "Talk about Polars at EuroPython Conference 2023", "url": "https://www.youtube.com/watch?v=UwRlFtSd_-8", "description": ""}]}, {"name": "Polars plugins", "parent": "Libraries/Packages/Scripts", "entries": [{"name": "polars\\_io", "url": "https://github.com/alipatti/polars_io", "description": "Lazily read Stata, SAS, and fixed-width files in Polars by [@alipatti](https://github.com/alipatti).", "stars": "5"}, {"name": "polars\\_readstat", "url": "https://github.com/jrothbaum/polars_readstat", "description": "Polars IO plugin to read SAS, Stata and SPSS file by [@jrothbaum](https://github.com/jrothbaum).", "stars": "24"}, {"name": "Working with Polars and XlsxWriter", "url": "https://xlsxwriter.readthedocs.io/working_with_polars.html", "description": "Guide to using the Python [XlsxWriter](https://xlsxwriter.readthedocs.io/index.html) library with Polars to create Excel reports."}, {"name": "polars\\_access\\_mdbtools", "url": "https://github.com/DeflateAwning/polars_access_mdbtools", "description": "Python package for reading tables from an Access database into Polars dataframes, using mdbtools by [@DeflateAwning](https://github.com/DeflateAwning).", "stars": "6"}, {"name": "polars-root", "url": "https://github.com/DanielMaysWilliams/polars-root", "description": "Polars plugin for reading CERN's ROOT file format by [@DanielMaysWilliams](https://github.com/DanielMaysWilliams).", "stars": "5"}, {"name": "polars-fastx", "url": "https://github.com/apcamargo/polars-fastx", "description": "Polars plugin for parsing FASTA and FASTQ files into DataFrames by [@apcamargo](https://github.com/apcamargo).", "stars": "4"}, {"name": "polars-redis", "url": "https://github.com/joshrotenberg/polars-redis", "description": "Polars IO plugin for Redis - scan hashes, JSON, and other data types as LazyFrames with projection pushdown and RediSearch support by [@joshrotenberg](https://github.com/joshrotenberg).", "stars": "5"}, {"name": "excelsior", "url": "https://github.com/krakotay/excelsior", "description": "High-performance library for modifying Excel files with Polars.", "stars": "5"}, {"name": "polars-mongo", "url": "https://github.com/AThomas314/polars-mongo/", "description": "Polars IO plugin that extends polars to read from mongodb collections via the LazyFrame apis by [@AThomas314](https://github.com/AThomas314).", "stars": "1"}, {"name": "tidypolars", "url": "https://tidypolars.readthedocs.io/en/latest/", "description": ""}, {"name": "Ibis Python package for Polars", "url": "https://ibis-project.org/backends/polars", "description": "[Ibis (⭐6.5k)](https://github.com/ibis-project/ibis) is a Python library that provides a lightweight, universal interface for data wrangling. It can be used with Polars."}, {"name": "pyjanitor", "url": "https://pyjanitor-devs.github.io/pyjanitor/api/polars/", "description": "Python package that provides a clean API for cleaning Polars DataFrame [@pyjanitor-devs](https://github.com/pyjanitor-devs)."}, {"name": "catfact", "url": "https://github.com/machow/catfact", "description": "Python package for working with categorical data in Polars DataFrames by [@machow](https://github.com/machow).", "stars": "31"}, {"name": "polars-permute-plugin", "url": "https://github.com/lmmx/polars-permute-plugin", "description": "Polars plugin for easily reordering DataFrame columns by [@lmmx](https://github.com/lmmx).", "stars": "15"}, {"name": "polars-schema-index", "url": "https://github.com/lmmx/polars-schema-index", "description": "Polars plugin for flattening nested data by [@lmmx](https://github.com/lmmx).", "stars": "4"}, {"name": "polars-expr-hopper", "url": "https://github.com/lmmx/polars-expr-hopper", "description": "Polars plugin providing a hopper of expressions for automatic, schema-aware application by [@lmmx](https://github.com/lmmx).", "stars": "5"}, {"name": "diffly", "url": "https://github.com/Quantco/diffly", "description": "Python utility for programatically identifying differences between Polars DataFrames including schema differences, row-level mismatches, and column value changes by [@Quantco](https://github.com/Quantco).", "stars": "26"}, {"name": "pl-compare", "url": "https://codeberg.org/concur1/pl-compare", "description": "Compare Dataframes to find difference in the schemas, rows and column values by [@concur1](https://codeberg.org/concur1)."}, {"name": "polars-h3", "url": "https://github.com/Filimoa/polars-h3", "description": "Efficient hexagonal indexing for large-scale geospatial analysis by [@Filimoa](https://github.com/Filimoa).", "stars": "119"}, {"name": "polars-reverse-geocode", "url": "https://github.com/MarcoGorelli/polars-reverse-geocode", "description": "This plugin is an offline reverse geocoder for finding the closest city to a given (latitude, longitude) pair by [@MarcoGorelli](https://github.com/MarcoGorelli).", "stars": "29"}, {"name": "polars-st", "url": "https://github.com/Oreilles/polars-st", "description": "Polars plugin that provides geographical/spatial operations on Polars DataFrames, Series, and Expressions by [@Oreilles](https://github.com/Oreilles).", "stars": "171"}, {"name": "polars-coord-transforms", "url": "https://github.com/georgypv/polars-coord-transforms", "description": "Polars plugin for coordinates transformation and extractions features by [@georgypv](https://github.com/georgypv).", "stars": "3"}, {"name": "polars-validator", "url": "https://github.com/baggiponte/polars-validator", "description": "Polars plugin that makes Polars DataFrames generics by [@baggiponte](https://github.com/baggiponte).", "stars": "15"}, {"name": "iban\\_validation\\_polars", "url": "https://github.com/ericqu/iban_validation/tree/main/iban_validation_polars", "description": "A package to facilitate validation of IBANs and getting bank identifier and branch identifier as a Polars plugin by [@ericqu](https://github.com/ericqu).", "stars": "0"}, {"name": "dataframely", "url": "https://github.com/Quantco/dataframely", "description": "Polars plugin that provides schema and other rule validation for Polars DataFrames by [@Quantco](https://github.com/Quantco).", "stars": "564"}, {"name": "daffy", "url": "https://github.com/vertti/daffy/", "description": "Decorator-first DataFrame contracts/validation (columns/dtypes/constraints) at function boundaries. Supports Polars/Pandas/PyArrow/Modin by [@vertti](https://github.com/vertti).", "stars": "57"}, {"name": "truthound", "url": "https://github.com/seadonggyun4/truthound", "description": "Enterprise data quality framework with 289 validators, auto-profiling, and zero-configuration schema inference by [@seadonggyun4](https://github.com/seadonggyun4).", "stars": "17"}, {"name": "wimsey", "url": "https://github.com/benrutter/wimsey", "description": "Simple and flexible data contracts library, supports profiling and manually specified contracts in json, yaml or python by [@benrutter](https://github.com/benrutter).", "stars": "170"}, {"name": "polars-url", "url": "https://github.com/condekind/polars-url", "description": "Polars plugin to parse/extract fields from urls by [@condekind](https://github.com/condekind).", "stars": "9"}, {"name": "polars\\_iptools", "url": "https://github.com/erichutchins/polars_iptools", "description": "Polars plugin for IP address parsing and enrichment including geolocation by [@erichutchins](https://github.com/erichutchins).", "stars": "28"}, {"name": "polars-textproc", "url": "https://github.com/Apsod/polars-textproc", "description": "Polars plugins to apply gopher repetetition penalties and fasttext classifiers to text data by [@Apsod](https://github.com/Apsod).", "stars": "2"}, {"name": "polars-distance", "url": "https://github.com/ion-elgreco/polars-distance", "description": "Polars plugin for text similarity/pairwise distance functions by [@ion-elgreco](https://github.com/ion-elgreco).", "stars": "102"}, {"name": "polars-fuzzy-match", "url": "https://github.com/bnm3k/polars-fuzzy-match", "description": "Python package for fuzzy matching with Polars, i.e. matching text elements that are similar but not exactly identical by bnm3k.", "stars": "36"}, {"name": "polars-strsim", "url": "https://github.com/foxcroftjn/polars-strsim", "description": "Polars plugin that computes string similarity measures directly on a Polars dataframe by [@foxcroftjn](https://github.com/foxcroftjn).", "stars": "27"}, {"name": "polars\\_sim", "url": "https://github.com/schemaitat/polars_sim", "description": "Polars plugin that implements fast approximate joins on string columns for polars dataframes by [@schemaitat](https://github.com/schemaitat).", "stars": "16"}, {"name": "polars-ts", "url": "https://github.com/drumtorben/polars-ts/tree/main", "description": "Polars Time Series Extension that offers a wide range of metrics, feature extractors, and various tools for time series forecasting by [@drumtorben](https://github.com/drumtorben).", "stars": "36"}, {"name": "polars-talib", "url": "https://github.com/Yvictor/polars_ta_extension", "description": "Polars extension for Ta-Lib - support Ta-Lib functions in Polars expressions by [@Yvictor](https://github.com/Yvictor).", "stars": "239"}, {"name": "polars-xdt", "url": "https://github.com/pola-rs/polars-xdt", "description": "Polars plugin with extra-datetime-related functionalities by [@MarcoGorelli](https://github.com/MarcoGorelli).", "stars": "234"}, {"name": "polars-xdt-docs", "url": "https://github.com/MarcoGorelli/polars-xdt-docs", "description": "Polars plugin for business day arithmetic by [@MarcoGorelli](https://github.com/MarcoGorelli).", "stars": "0"}, {"name": "functime", "url": "https://github.com/functime-org/functime", "description": "Machine learning Python package built on Polars for time-series predictions by [@functime-org](https://github.com/functime-org). According to the developpers, it's the world's fastest and most feature-full machine learning forecasting library !", "stars": "1.2k"}, {"name": "polars-ml", "url": "https://github.com/barak1412/polars_ml", "description": "Polars plugin for machine learning by [@barak1412](https://github.com/barak1412).", "stars": "14"}, {"name": "polars-candle", "url": "https://github.com/wdoppenberg/polars-candle", "description": "Polars plugin for running [candle (⭐20k)](https://github.com/huggingface/candle) ML models on Polars DataFrames by [@wdoppenberg](https://github.com/wdoppenberg).", "stars": "29"}, {"name": "polars-ds", "url": "https://github.com/abstractqqq/polars_ds_extension", "description": "Polars extension for general data science use cases by [@abstractqqq](https://github.com/abstractqqq).", "stars": "621"}, {"name": "polars-fastembed", "url": "https://github.com/lmmx/polars-fastembed", "description": "Polars plugin for embedding DataFrames by [@lmmx](https://github.com/lmmx).", "stars": "2"}, {"name": "retrofit", "url": "https://github.com/AdrianAntico/RetroFit", "description": "Machine learning framework built with Polars by [@AdrianAntico](https://github.com/AdrianAntico).", "stars": "26"}, {"name": "tubular", "url": "https://github.com/azukds/tubular", "description": "Scikit-learn pipeline compatible pre-processing steps by [@azukds](https://github.com/azukds).", "stars": "97"}, {"name": "polar\\_llama", "url": "https://github.com/daviddrummond95/polar_llama", "description": "Polars plugin for interacting with LLMs in Polars by [@daviddrummond95](https://github.com/daviddrummond95).", "stars": "28"}, {"name": "polar-whichlang", "url": "https://github.com/rmalouf/polars_whichlang", "description": "Polars plugin for fast language identification by [@rmalouf](https://github.com/rmalouf).", "stars": "2"}, {"name": "polars-sbert", "url": "https://github.com/lmmx/polars-sbert", "description": "Polars plugin for embedding data with Sentence Transformers by [@lmmx](https://github.com/lmmx).", "stars": "2"}, {"name": "polars-trading", "url": "https://github.com/ngriffiths13/polars-trading", "description": "A collection of helpful polars plugins and functions for market data processing by [@ngriffiths13](https://github.com/ngriffiths13).", "stars": "61"}, {"name": "polars\\_plugin\\_option\\_pricing", "url": "https://github.com/oscar6echo/polars-plugin-option-pricing", "description": "Polars plugin exposing rust crate option-pricing by [@oscar6echo](https://github.com/oscar6echo).", "stars": "5"}, {"name": "polars-order-book", "url": "https://github.com/ChristopherRussell/polars-order-book", "description": "Polars plugin for enriching orderbook data with best bid and offer information by [@ChristopherRussell](https://github.com/ChristopherRussell).", "stars": "5"}, {"name": "polars-fin", "url": "https://github.com/LVG77/polars-fin", "description": "Polars plugin to calculate financial metrics by [@LVG77](https://github.com/LVG77).", "stars": "2"}, {"name": "polars-bloomberg", "url": "https://github.com/MarekOzana/polars-bloomberg", "description": "Polars plugin that extracts Bloomberg’s financial data directly into polars.DataFrame by [@MarekOzana](https://github.com/MarekOzana).", "stars": "19"}, {"name": "jquantstats", "url": "https://github.com/tschm/jquantstats", "description": "Polars/Narwhals-centric tool for the analysis of financial time series data by [@tschm](https://github.com/tschm).", "stars": "19"}, {"name": "polars\\_ols", "url": "https://github.com/azmyrajab/polars_ols", "description": "Polars plugin that enables fast linear model Polar expressions by [@azmyrajab](https://github.com/azmyrajab).", "stars": "198"}, {"name": "polars-pairing", "url": "https://github.com/apcamargo/polars-pairing", "description": "Polars plugin that provides pairing functions that encode two natural numbers into a single natural number by [@apcamargo](https://github.com/apcamargo).", "stars": "14"}, {"name": "polars\\_rng", "url": "https://github.com/alipatti/polars_rng", "description": "Random number generation in Polars via the expression API by [@alipatti](https://github.com/alipatti).", "stars": "4"}, {"name": "polars for Python", "url": "https://github.com/pola-rs/polars/tree/master/py-polars", "description": "[Python](https://www.python.org/) `polars` package to use polars DataFrame from Python.", "stars": "38k"}, {"name": "polars-utils", "url": "https://github.com/junghoon-son/polars-utils", "description": "Collection of utilities for data exploration and analysis with Polars DataFrames by [@junghoon-son](https://github.com/junghoon-son).", "stars": "18"}, {"name": "polars\\_list\\_utils", "url": "https://github.com/dashdeckers/polars_list_utils", "description": "Polars extension that provides a set of utilities for working with List-type columns in Polars DataFrames by [@dashdeckers](https://github.com/dashdeckers).", "stars": "14"}, {"name": "harley", "url": "https://github.com/TomBurdge/harley", "description": "Polars helper methods to enhance developer productivity by [@TomBurdge](https://github.com/TomBurdge).", "stars": "12"}, {"name": "polars-config-meta", "url": "https://github.com/lmmx/polars-config-meta", "description": "Polars plugin for persistent DataFrame-level metadata by [@lmmx](https://github.com/lmmx).", "stars": "18"}, {"name": "polars\\_streaming\\_csv\\_decompression", "url": "https://github.com/ghuls/polars_streaming_csv_decompression/", "description": "", "stars": "22"}, {"name": "life\\_polars\\_plugin", "url": "https://github.com/condekind/life_polars_plugin", "description": "Polars plugin to showcase some features of the plugin system by [@condekind](https://github.com/condekind).", "stars": "4"}, {"name": "polars-avro", "url": "https://github.com/hafaio/polars-avro", "description": "Polars plugin for reading and writing avro files by [@hafaio](https://github.com/hafaio).", "stars": "4"}, {"name": "Narwhals", "url": "https://github.com/narwhals-dev/narwhals", "description": "Python files that provides an extremely lightweight compatibility layer between Polars, Pandas, cuDF, and Modin by [@narwhals-dev](https://github.com/narwhals-dev).", "stars": "1.6k"}, {"name": "polars-upgrade", "url": "https://github.com/MarcoGorelli/polars-upgrade", "description": "Python package that automatically upgrades your Polars code so it's compatible with future versions by [@MarcoGorelli](https://github.com/MarcoGorelli).", "stars": "65"}, {"name": "turtle-island", "url": "https://github.com/jrycw/turtle-island", "description": "A lightweight utility library for writing Polars Expressions by [@jrycw](https://github.com/jrycw).", "stars": "7"}, {"name": "polars-argpartition", "url": "https://github.com/GiovanniGiacometti/polars-argpartition", "description": "Polars plugin that implements the argpartition function by [@GiovanniGiacometti](https://github.com/GiovanniGiacometti).", "stars": "10"}, {"name": "polars-path", "url": "https://github.com/gorkaerana/polars-path", "description": "Polars plugin with filesystem path utilities by [@gorkaerana](https://github.com/gorkaerana).", "stars": "1"}, {"name": "polars-genson", "url": "https://github.com/lmmx/polars-genson", "description": "Fast JSON schema inference with support for Polars DataFrames by [@lmmx](https://github.com/lmmx).", "stars": "10"}, {"name": "polars-extensions", "url": "https://github.com/jrasband-dev/polars-extensions", "description": "Polars plugin that extends the capabilities of Polars with functionalities that are not currently found in Polars by [@jrasband-dev](https://github.com/jrasband-dev).", "stars": "6"}, {"name": "polars-nexpresso", "url": "https://github.com/heshamdar/polars-nexpresso", "description": "Polars plugins for generating Polars expressions to work with nested data structures by [@heshamdar](https://github.com/heshamdar).", "stars": "6"}, {"name": "polarsFE", "url": "https://github.com/AdrianAntico/PolarsFE", "description": "Polars plugins with helper functions for feature engineering, using Polars by [@AdrianAntico](https://github.com/AdrianAntico).", "stars": "4"}, {"name": "polars-row-collector", "url": "https://github.com/DeflateAwning/polars-row-collector", "description": "Facade to collect rows one-by-one into a Polars DataFrame with minimal overhead by [@DeflateAwning](https://github.com/DeflateAwning).", "stars": "3"}, {"name": "polars-map", "url": "https://github.com/hafaio/polars-map", "description": "Polars extension that provids a Map extension type and functions by [@hafaio](https://github.com/hafaio).", "stars": "4"}, {"name": "polars\\_kde", "url": "https://github.com/schemaitat/polars_kde", "description": "Polars plugin for kernel density estimation by @schemaitat.", "stars": "2"}, {"name": "seaborn\\_polars", "url": "https://github.com/pavelcherepan/seaborn_polars", "description": "Python package to plot Polars DataFrames and LazyFrames with [seaborn](https://seaborn.pydata.org/) by [@pavelcherepan](https://github.com/pavelcherepan).", "stars": "32"}, {"name": "QuickEcharts", "url": "https://github.com/AdrianAntico/QuickEcharts", "description": "Python package for fast and easy echarts with Polars backend by [@AdrianAntico](https://github.com/AdrianAntico).", "stars": "35"}, {"name": "flowview", "url": "https://github.com/guillermodotn/flowview", "description": "A visual debugger that shows what happens at each step of your Polars DataFrame transformations in the terminal. By [@guillermodotn](https://github.com/guillermodotn).", "stars": "0"}, {"name": "polars-finance", "url": "https://github.com/ngriffiths13/polars-finance", "description": "A collection of Python Polars plugins and functions for market data processing by [@ngriffiths13](https://github.com/ngriffiths13).", "stars": "61"}, {"name": "polars\\_encryption", "url": "https://github.com/zlobendog/polars_encryption", "description": "Polars plugin that extends Polars with encryption algorithm AES-GSM-SIV by [@zlobendog](https://github.com/zlobendog).", "stars": "11"}, {"name": "polars-bio", "url": "http://biodatageeks.org/polars-bio/", "description": "[Polars plugin (⭐151)](https://github.com/biodatageeks/polars-bio) for large-scale genomic analyses which is easy to use and considerably faster and more scalable than existing alternatives by [@biodatageeks](https://github.com/biodatageeks)."}, {"name": "polars\\_istr", "url": "https://github.com/abstractqqq/polars_istr", "description": "Python package for Processing IBAN, ISINs, URLs and other standard format data in Polars by [@abstractqqq](https://github.com/abstractqqq).", "stars": "17"}, {"name": "polars\\_hash", "url": "https://github.com/ion-elgreco/polars-hash", "description": "Python package that provides stable hashing functionality across different Polars versions by [@ion-elgreco](https://github.com/ion-elgreco).", "stars": "88"}, {"name": "polars\\_ta", "url": "https://github.com/wukan1986/polars_ta", "description": "Python package that provides technical indicator operators rewritten in Polars by [@wukan1986](https://github.com/wukan1986).", "stars": "241"}, {"name": "Polars OLS", "url": "https://github.com/azmyrajab/polars_ols", "description": "Python package that provides efficient rust implementations of common linear regression variants and exposes them as simple Polars expressions by [@azmyrajab](https://github.com/azmyrajab).", "stars": "198"}, {"name": "photoshoot", "url": "https://github.com/ngriffiths13/photoshoot", "description": "A pytest plugin library for doing snapshot testing with Polars DataFrames by [@ngriffiths13](https://github.com/ngriffiths13).", "stars": "10"}, {"name": "cerburus", "url": "https://github.com/rhshadrach/cerbursus", "description": "Python package that prints Polars DataFrames with hierarchical headers by [@rhshadrach](https://github.com/rhshadrach).", "stars": "2"}, {"name": "polars-graphframes", "url": "https://github.com/t-ded/polars-graphframes", "description": "Polars plugin for interconnection of graphs and networks with Frames by [@t-ded](https://github.com/t-ded).", "stars": "9"}, {"name": "polars-phonetics", "url": "https://github.com/LeCodeMinister/polars-phonetics", "description": "Polars plugin for phonetic algorithms by [@LeCodeMinister](https://github.com/LeCodeMinister).", "stars": "3"}, {"name": "polars-holidays", "url": "https://github.com/mrjsj/polars-holidays", "description": "Polars plugin for determining if a date is a holiday by [@mrjsj](https://github.com/mrjsj).", "stars": "1"}, {"name": "polars-cache", "url": "https://github.com/alipatti/polars_cache", "description": "Polars plugin to automatically cache the result of expensive queries to disc by [@alipatti](https://github.com/alipatti).", "stars": "4"}, {"name": "pl\\_series\\_hash", "url": "https://github.com/paddymul/pl_series_hash", "description": "Fast series hashing for polars, useful for caching by [@paddymul](https://github.com/paddymul).", "stars": "2"}, {"name": "raffalib-python", "url": "https://github.com/raffaem/raffalib-python", "description": "[STATA](https://www.stata.com/)-like logging capabilities by [@raffaem](https://github.com/raffaem).", "stars": "0"}, {"name": "immunum-polars", "url": "https://github.com/ENPICOM/immunum", "description": "high-performance plugin for antibody segmentation and numbering, with up to 1,000,000 antibodies per second on 48-core CPU machine.", "stars": "20"}]}, {"name": "Rust", "parent": "Libraries/Packages/Scripts", "entries": [{"name": "polars for Rust", "url": "https://github.com/pola-rs/polars/tree/master/crates/polars", "description": "[Rust](https://www.rust-lang.org/) `polars` crate to use polars DataFrame with Rust.", "stars": "38k"}, {"name": "Polars CLI", "url": "https://github.com/pola-rs/polars-cli", "description": "", "stars": "199"}, {"name": "GeoPolars", "url": "https://geopolars.org/", "description": ""}, {"name": "plotlars", "url": "https://github.com/alceal/plotlars", "description": "", "stars": "633"}, {"name": "iban\\_validation", "url": "https://github.com/ericqu/iban_validation", "description": "", "stars": "0"}]}, {"name": "R", "parent": "Libraries/Packages/Scripts", "entries": [{"name": "rpolars for R", "url": "https://github.com/pola-rs/r-polars", "description": "[R](https://www.r-project.org/) `rpolars` package to use polars DataFrame from R.", "stars": "557"}, {"name": "tidypolars for R", "url": "https://github.com/etiennebacher/tidypolars/", "description": "", "stars": "229"}, {"name": "polarssql", "url": "https://github.com/rpolars/r-polarssql", "description": "`polarssql` experimental package which is a DBI-compliant interface to Polars.", "stars": "27"}, {"name": "r-polars-dashboard", "url": "https://github.com/etiennebacher/r-polars-dashboard", "description": "Dashboard comparing r-polars and py-polars APIs.", "stars": "3"}, {"name": "neo-r-polars", "url": "https://github.com/eitsupi/neo-r-polars", "description": "Next generation of Polars [R](https://www.r-project.org/) API.", "stars": "54"}]}, {"name": "Go", "parent": "Libraries/Packages/Scripts", "entries": [{"name": "go-polars", "url": "https://github.com/jordandelbar/go-polars", "description": "", "stars": "79"}]}, {"name": "Node.js", "parent": "Libraries/Packages/Scripts", "entries": [{"name": "nodejs-polars for Node.js", "url": "https://github.com/pola-rs/nodejs-polars", "description": "[Node.js](https://nodejs.org/en/) `nodejs-polars` package to use polars DataFrame from Node.js.", "stars": "700"}]}, {"name": "Scala/Java", "parent": "Libraries/Packages/Scripts", "entries": [{"name": "scala-polars for Scala and Java", "url": "https://github.com/chitralverma/scala-polars", "description": "[Scala](https://scala-lang.org/) - [Java](https://www.java.com/fr/) `scala-polars` is a library for using Polars in Scala and Java projects by [@chitralverma](https://github.com/chitralverma).", "stars": "105"}]}, {"name": "Ruby", "parent": "Libraries/Packages/Scripts", "entries": [{"name": "polars for Ruby", "url": "https://github.com/ankane/polars-ruby", "description": "[Ruby](https://www.ruby-lang.org/en/) `polars-df` gems to use Polars with Ruby.", "stars": "979"}, {"name": "polars-explorer", "url": "https://github.com/brutusyhy/polars-explorer", "description": "A tool that aims to provide a lightweight GUI to data exploration/manipulation tasks using Rust Polars by [@brutusyhy](https://github.com/brutusyhy).", "stars": "37"}, {"name": "polars-mas", "url": "https://github.com/idinsmore1/polars-mas", "description": "A CLI tool and Python library meant to perform large scale multiple association tests, primarily seen in academic research by [@idinsmore1](https://github.com/idinsmore1).", "stars": "1"}, {"name": "octopolars", "url": "https://github.com/lmmx/octopolars", "description": "Pull, filter, and walk a GitHub user's repositories with Polars by [@lmmx](https://github.com/lmmx).", "stars": "1"}, {"name": "table-diff", "url": "https://gitlab.com/parker-research/table-diff", "description": "A tool to generate HTML/Markdown reports highlighting the differences between similar tables by [@parker-research](https://github.com/parker-research)."}]}, {"name": "Cheat Sheets", "parent": "Resources", "entries": [{"name": "Polars Cheat Sheet", "url": "https://franzdiebold.github.io/polars-cheat-sheet/Polars_cheat_sheet.pdf", "description": "A Polars Cheat Sheet by [@FranzDiebold](https://github.com/FranzDiebold)."}, {"name": "Cheatsheet for Pandas to Polars", "url": "https://www.rhosignal.com/posts/polars-pandas-cheatsheet/", "description": "A Cheat Sheet that shows how to convert some familiar Pandas commands to Polars by [@braaannigan](https://github.com/braaannigan)."}]}, {"name": "Books", "parent": "Resources", "entries": [{"name": "Python & Polars: The Definitive Guide", "url": "https://www.amazon.com/Python-Polars-Definitive-Transforming-Visualizing/dp/1098156080", "description": "Book on using Python Polars for transforming, summarizing, and visualizing data."}, {"name": "Polars Cookbook", "url": "https://www.amazon.com/Polars-Cookbook-practical-transform-manipulate-ebook/dp/B0CLRS4B8T", "description": "Practical recipes for transforming and manipulating data with Polars."}, {"name": "Effective Polars: Optimized Data Manipulation", "url": "https://www.amazon.com/Effective-Polars-Optimized-Data-Manipulation/dp/B0D911QH19", "description": "Book focused on efficient, idiomatic data manipulation with Polars."}]}, {"name": "Tutorials & workshops", "parent": "Resources", "entries": [{"name": "Modern Polars", "url": "https://kevinheavey.github.io/modern-polars/", "description": "A side by side comparison between Polars and Pandas containing code in both frameworks by [@kevinheavey](https://github.com/kevinheavey)."}, {"name": "Polars: um simples mas prático tutorial", "url": "https://nbviewer.org/github/barbosarafael/polars_python_test/blob/main/01-notebook/01-polars_notebook.ipynb", "description": "Tutorial in the format of an ipynb notebook that illustrates several features of Polars in Portuguese by [@barbosarafael](https://github.com/barbosarafael). Associated github repository is [here (⭐40)](https://github.com/barbosarafael/polars_python_test)."}, {"name": "A Practical Comparison of Polars and Pandas", "url": "https://florianwilhelm.info/2021/05/polars_pandas_comparison_notebook/", "description": "A tutorial that showcases several common operations in Pandas and Polars side by side to demonstrate how much easier Polars is by [@FlorianWilhelm](https://github.com/FlorianWilhelm/). There is also an accompanying [Jupyter notebook (⭐44)](https://github.com/FlorianWilhelm/polars_vs_pandas/blob/master/pl_vs_pd.ipynb) available."}, {"name": "Prise en main de Polars", "url": "http://colab.research.google.com/github/inseefrlab/ssphub/blob/main/content/notebooks/polars-tuto.ipynb", "description": "A notebook tutorial in French that illustrates the main features of Polars by [@romaintailhurat](https://github.com/romaintailhurat) and [@linogaliana](https://github.com/linogaliana). There is also an accompanying [blog post](https://ssphub.netlify.app/post/polars/)."}, {"name": "Running Polars code distributedly", "url": "https://fugue-tutorials.readthedocs.io/tutorials/integrations/backends/polars.html#", "description": "A page that explains how to rung Polars code distributedly with Fugue by [@fugue-project](https://github.com/fugue-project)."}, {"name": "How to display Polars dataframes with itables", "url": "https://mwouts.github.io/itables/polars_dataframes.html", "description": "A tutorial that explains how to display Polars dataframes with [itables](https://mwouts.github.io/itables/quick_start.html) by [@mwouts](https://github.com/mwouts)."}, {"name": "Rust Polars: Unlocking High-Performance Data Analysis — Part 1", "url": "https://medium.com/towards-data-science/rust-polars-unlocking-high-performance-data-analysis-part-1-ce42af370ece", "description": "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](https://github.com/wiseaidev). Code used is available on Github [here (⭐457)](https://github.com/wiseaidev/rust-data-analysis/blob/main/3-polars-tutorial-part-1.ipynb)."}, {"name": "Fast String Processing with Polars — Scam Emails Dataset", "url": "https://medium.com/towards-data-science/fast-string-processing-with-polars-scam-emails-dataset-fcf7054a929a", "description": "A tutorial using Polars to implement a text processing pipeline process by [@AntonsRuberts](https://github.com/AntonsRuberts). Code used is available on Github [here (⭐69)](https://github.com/aruberts/tutorials/tree/main/metaflow/fraud_email)."}, {"name": "Cookbook Polars for R", "url": "https://ddotta.github.io/cookbook-rpolars/", "description": "A side-by-side comparison of Polars, R base, dplyr and data.table packages by [@ddotta](https://github.com/ddotta)."}, {"name": "Polars Workshop on AWS", "url": "https://github.com/debnsuma/pycon_polars101", "description": "A comprehensive workshop comparing Polars to Pandas, exploring a wide range of functions and features by [@debnsuma](https://github.com/debnsuma).", "stars": "16"}, {"name": "Polars cookbook in Python", "url": "https://github.com/escobar-west/polars-cookbook", "description": "This cookbook is a fork of the popular pandas-cookbook and has been modified to use the polars library. By [@escobar-west](https://github.com/escobar-west), it uses real-world examples with \"all the bugs and weirdness that entails.\"", "stars": "275"}, {"name": "Data Pipelines with Polars: Step-by-Step Guide", "url": "https://medium.com/towards-data-science/data-pipelines-with-polars-step-by-step-guide-f5474accacc4", "description": "A tutorial that explains how to build data pipelines with Polars by [@AntonsRuberts](https://github.com/AntonsRuberts). Code used is available on Github [here (⭐69)](https://github.com/aruberts/tutorials/tree/main/polars)."}, {"name": "Python Polars: A Lightning-Fast DataFrame Library", "url": "https://realpython.com/polars-python/", "description": "A tutorial that shows how to use Polars with Python ecosystem by [@hfhoffman1144](https://github.com/hfhoffman1144). Code used is available on Github [here (⭐5.1k)](https://github.com/realpython/materials/tree/master/python-polars)."}, {"name": "Polars plugins tutorial", "url": "https://marcogorelli.github.io/polars-plugins-tutorial/", "description": "How you (yes, you!) can write a Polars Plugin by [@MarcoGorelli](https://github.com/MarcoGorelli)."}, {"name": "Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide", "url": "https://github.com/jeroenjanssens/python-polars-the-definitive-guide", "description": "Useful Python notebooks ordered by book chapter by [@jeroenjanssens](https://github.com/jeroenjanssens).", "stars": "311"}, {"name": "Python-Polars-Tips-and-Tricks", "url": "https://github.com/StuffbyYuki/Python-Polars-Tips-and-Tricks", "description": "Collection of source code demonstrating tips and tricks in Polars by [@StuffbyYuki](https://github.com/StuffbyYuki).", "stars": "29"}, {"name": "(Pretty) big data wrangling with DuckDB and Polars", "url": "https://grantmcdermott.com/duckdb-polars/", "description": "Documentation that introduces the use of DuckDB and Polars with examples in R and Python by [@grantmcdermott](https://github.com/grantmcdermott)."}, {"name": "Introduction course that introduces the concept of DataFrame", "url": "https://github.com/TLouf/Py4DataSci-course", "description": "", "stars": "0"}, {"name": "Working With Python Polars", "url": "https://realpython.com/courses/working-with-python-polars/", "description": "7-lesson online video course that covers various topics related todata manipulation with Polars by [@cltrudeau](https://github.com/cltrudeau)."}, {"name": "#100DaysOfPolars articles", "url": "https://www.conterval.com/blog/#category=100DaysOfPolars", "description": "List of articles published by [@jorammutenge](https://github.com/jorammutenge) on linkedin #100DaysOfPolars."}, {"name": "Python Polars Tutorial: A Complete Guide for Beginners", "url": "https://www.datacamp.com/tutorial/python-polars-tutorial-complete-guide-for-beginners", "description": "A beginner tutorial to learn how to use Polars in Python by [@datacamp](https://github.com/datacamp)."}]}, {"name": "Blog posts", "parent": "Resources", "entries": [{"name": "Using the Polars DataFrame Library", "url": "https://www.codemag.com/Article/2212051/Using-the-Polars-DataFrame-Library", "description": "A blog post by Wei-Meng Lee to discover the basics of Polars and how it can be used in place of Pandas."}, {"name": "Why Polars uses less memory than Pandas", "url": "https://www.pythonspeed.com/articles/polars-memory-pandas/", "description": "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."}, {"name": "Plodding with Polars in Python", "url": "https://levelup.gitconnected.com/plodding-with-polars-in-python-defe8399eee6", "description": "A blog post by [@amitrathore](https://github.com/amitrathore) that introduces some basic features of Polars."}, {"name": "Polars-lazy", "url": "https://lib.rs/crates/polars-lazy", "description": "A blog post by [@ritchie46](https://github.com/ritchie46) and [@jorgecarleitao](https://github.com/jorgecarleitao) that introduces Polars' lazy API in Rust."}, {"name": "Series of posts on Polars", "url": "https://www.rhosignal.com/tags/polars/", "description": "A series of blogpost on Polars usage with a lot of useful tricks and information by [@braaannigan](https://github.com/braaannigan). Moreover, Liam also has a [Data Analysis with Polars](https://www.udemy.com/course/data-analysis-with-polars/?couponCode=DISCOUNTCODE) course on Udemy."}, {"name": "Youtube videos about Polars", "url": "https://www.youtube.com/channel/UC-J3uR0g7CxCSnx0YFE6R_g", "description": "A series of short youtube videos about Polars by [@braaannigan](https://github.com/braaannigan)"}, {"name": "Alternatives to Pandas: Python Polars", "url": "https://codesolid.com/alternatives-to-pandas-python-polars/", "description": "An article that explores the Python Polars module as an alternative to Pandas, comparing their similarities and differences and providing some examples by [@JohnLockwood](https://github.com/JohnLockwood)"}, {"name": "Pandas vs Polars - A comparison on File I/O", "url": "https://www.shipyardapp.com/blog/pandas-vs-polars/", "description": "A blog post that evaluates Polars and Pandas in terms of I/O performance and speed when handling large datasets by Wes Poulsen."}, {"name": "Discover the Power of Polars Library for Fast and Efficient Data Manipulation in Python", "url": "https://python.plainenglish.io/discovering-polars-library-1d63c1eefb44", "description": "An article that quickly compares Polars to other data manipulation libraries by [Morpheus](https://medium.com/@morpheuX/about)."}, {"name": "Why is Polars All The Rage?", "url": "https://seattledataguy.substack.com/p/why-is-polars-all-the-rage", "description": "An article that explains why Polars will become very popular by [SeattleDataGuy](https://substack.com/profile/4963622-seattledataguy) and [Daniel Beach](https://substack.com/profile/21715962-daniel-beach)."}, {"name": "Polars vs Pandas — 4 key concept differences", "url": "https://python.plainenglish.io/polars-vs-pandas-4-key-concept-differences-3c09713c0fe8", "description": "An article that helps to understand key differences between Pandas and Polars Data Science libraries by [@DataScienceDisciple](https://github.com/DataScienceDisciple)."}, {"name": "Replacing Pandas with Polars. A Practical Guide", "url": "https://www.confessionsofadataguy.com/replacing-pandas-with-polars-a-practical-guide", "description": "A blog post comparing some common functions between Pandas and Polars by [@danielbeach](https://github.com/danielbeach). Code used is available on Github [here (⭐5)](https://github.com/danielbeach/PandasVsPolars)."}, {"name": "Dataframe Showdown – Polars vs Spark vs Pandas vs DataFusion. Guess who wins?", "url": "https://www.confessionsofadataguy.com/dataframe-showdown-polars-vs-spark-vs-pandas-vs-datafusion-guess-who-wins/", "description": "A short article that presents a performance test between Polars, Pandas, Datafusion and Spark on a csv dataset by [@danielbeach](https://github.com/danielbeach). Code used is available on Github [here (⭐6)](https://github.com/danielbeach/DataFrameShowDown)."}, {"name": "7 Easy Steps To Switch From Pandas to Lightning Fast Polars And Never Return", "url": "https://medium.com/towards-data-science/7-easy-steps-to-switch-from-pandas-to-lightning-fast-polars-and-never-return-b14c66fc85b9", "description": "A cheat sheet blog post of the most common Pandas operations translated into Polars by [@BexTuychiev](https://github.com/BexTuychiev)."}, {"name": "Polars for initial data analysis, Polars for production", "url": "https://pythonspeed.com/articles/polars-exploratory-data-analysis-vs-production/", "description": "A blog post that shows how to use Polars for initial data analysis and then effectively in production by [@itamarst](https://github.com/itamarst)."}, {"name": "DuckDB vs Polars vs Spark!", "url": "https://www.karnwong.me/posts/2023/04/duckdb-vs-polars-vs-spark/", "description": "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 (⭐6)](https://github.com/kahnwong/dataframe-frameworks-showdown)."}, {"name": "Benchmarking PySpark Pandas, Pandas UDFs, and Fugue Polars", "url": "https://medium.com/fugue-project/benchmarking-pyspark-pandas-pandas-udfs-and-fugue-polars-198c3109a226", "description": "A blog post that compares the execution time of [fugue (⭐2.1k)](https://github.com/fugue-project/fugue/) + Polars, Pandas UDFs and PySpark Pandas by [@kvnkho](https://github.com/kvnkho)."}, {"name": "Pandas vs. Polars: The Battle of Performance", "url": "https://www.makeuseof.com/pandas-vs-polars-which-is-better/", "description": "An another blog post that compares the performance between Pandas and Polars across a range of common data manipulation tasks by [@makeuseofcode](https://github.com/makeuseofcode). Code used is available on [Github (⭐0)](https://github.com/makeuseofcode/Polars-vs-Pandas-Comparison)."}, {"name": "Pandas 2.0 vs Polars: The Ultimate Battle", "url": "https://medium.com/cuenex/pandas-2-0-vs-polars-the-ultimate-battle-a378eb75d6d1", "description": "A blog post that analyzes in terms of Syntax, Speed, and Usability between Pandas 2.0 and Polars 0.17.0 by [@priyanshu7401](https://github.com/priyanshu7401)."}, {"name": "Polars - modern data frame library", "url": "https://dskrzypiec.dev/polars/", "description": "A blog post that describes why Polars could be a better alternative to pandas, dplyr or data.table by [@DSkrzypiec](https://github.com/DSkrzypiec)."}, {"name": "The fastest way to read a CSV file in Python", "url": "https://itnext.io/the-fastest-way-to-read-a-csv-file-in-pandas-2-0-532c1f978201", "description": "A blog post that compares different ways (including Polars, pyarrow and C) to read a CSV file with Python by [Finn Andersen](https://medium.com/@finndersen)."}, {"name": "Polars in the aRtic!", "url": "https://medium.com/@mcodrescu/polars-in-the-artic-9fda471b6b91", "description": "An another blog post that compares the performance between Pandas and Polars across a range of common data manipulation tasks by [@MCodrescu](https://github.com/MCodrescu). Code used is available on [Github](https://gist.github.com/MCodrescu/45e1adf1ca19863d566a0e0fcead5820)."}, {"name": "A Polars exploration into Kedro", "url": "https://kedro.org/blog/a-polars-exploration-into-kedro", "description": "A blog post that explains how Polars can be used instead of pandas in [Kedro](https://kedro.org/) for your data catalog and data manipulation by [@astrojuanlu](https://github.com/astrojuanlu)."}, {"name": "High Performance Data Manipulation in Python: pandas 2.0 vs. polars", "url": "https://www.datacamp.com/tutorial/high-performance-data-manipulation-in-python-pandas2-vs-polars", "description": "A blog post that compares differences between Python pandas 2.0 and Polars libraries by [@jcanalesluna](https://github.com/jcanalesluna)."}, {"name": "Lightning-fast queries with Polars", "url": "https://dev.to/astrojuanlu/lightning-fast-queries-with-polars-1bp3", "description": "Another blog post that is a good introduction to Polars by [@astrojuanlu](https://github.com/astrojuanlu)."}, {"name": "Polars – Laziness and SQL Context.", "url": "https://www.confessionsofadataguy.com/polars-laziness-and-sql-context/", "description": "A blog post that presents two good reasons to adopt Polars : Lazy and SQL Context by [@danielbeach](https://github.com/danielbeach)."}, {"name": "Exploring Polars - The Lightning-Fast DataFrame Library in Python", "url": "https://medium.com/@HeCanThink/exploring-polars-the-lightning-fast-dataframe-library-in-python-2d01aa332f70", "description": "A blog post on the basics of Polars by [@mddas](https://github.com/mddas)."}, {"name": "Pandas vs Polars – Speed Comparison", "url": "https://stuffbyyuki.com/pandas-vs-polars-speed-comparison/", "description": "A blog post that compares the performance of Polars, Pandas and Pandas 2.0 by [@StuffbyYuki](https://github.com/StuffbyYuki). Code used is available on Github [here (⭐29)](https://github.com/StuffbyYuki/Python-Polars-Tips-and-Tricks/tree/main/pandas_vs_polars)."}, {"name": "LazyFrame vs DataFrame in Polars – Performance Comparison", "url": "https://stuffbyyuki.com/lazyframe-vs-dataframe-in-polars-performance-comparison/", "description": "A blog post that introduces what LazyFrame is in Polars and its performance gain compared to DataFrame by [@StuffbyYuki](https://github.com/StuffbyYuki). Code used is available on Github [here (⭐29)](https://github.com/StuffbyYuki/Python-Polars-Tips-and-Tricks/tree/main/lazyframe_vs_dataframe)."}, {"name": "Querying Polars DataFrames using SQL", "url": "https://levelup.gitconnected.com/querying-polars-dataframes-using-sql-2471c1ad3014", "description": "A blog post that shows how to use the SQLContext object in Python to query a Polars DataFrame directly using SQL by [@weimenglee](https://github.com/weimenglee)."}, {"name": "Polars vs Pandas: A Brief Tale of Two DataFrame Libraries", "url": "https://dev.to/ranggakd/polars-vs-pandas-a-brief-tale-of-two-dataframe-libraries-lli", "description": "A blog post that compares Polars and Pandas focusing in particular on optional dependencies by [@ranggakd](https://github.com/ranggakd)."}, {"name": "EDA with Polars: Step-by-Step Guide for Pandas Users (Part 1)", "url": "https://towardsdatascience.com/eda-with-polars-step-by-step-guide-for-pandas-users-part-1-b2ec500a1008", "description": "A blog post that describes the main data processing operations with Polars in Python by [@AntonsRuberts](https://github.com/AntonsRuberts). Code used is available in [this notebook (⭐69)](https://github.com/aruberts/tutorials/blob/main/polars/basics.ipynb)."}, {"name": "EDA with Polars: Step-by-Step Guide to Aggregate and Analytic Functions (Part 2)", "url": "https://towardsdatascience.com/eda-with-polars-step-by-step-guide-to-aggregate-and-analytic-functions-part-2-a22d986315aa", "description": "A blog post that shows how to perform with Polars and Python some fairly complex aggregates, rolling statistics and more by [@AntonsRuberts](https://github.com/AntonsRuberts). Code used is available in [this notebook (⭐69)](https://github.com/aruberts/tutorials/blob/main/polars/time_analysis.ipynb)."}, {"name": "Pyspark or Polars — What should you use?", "url": "https://medium.com/data-engineer-things/pyspark-or-polars-what-should-you-use-breakdown-of-similarities-and-differences-b261a825b9d6", "description": "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](https://www.linkedin.com/in/vivekkovvuru/)."}, {"name": "Getting Started with the Polars Data Manipulation Library", "url": "https://www.analyticsvidhya.com/blog/2023/07/getting-started-with-the-polars-data-manipulation-library/", "description": "A blog post that presents some simple features of Polars using Python by [Juveriya Mahreen](https://www.analyticsvidhya.com/blog/author/codebestway/)."}, {"name": "8 ways pandas really losing to Polars for quick market data analysis", "url": "https://pyquantnews.com/8-ways-pandas-losing-polars-quick-data-analysis/", "description": "A newsletter that compares the performance of Polars to Pandas for many common data manipulation techniques by [PyQuant News](https://pyquantnews.com/)."}, {"name": "All that Polars that Make You Forget Pandas", "url": "https://medium.com/@tq9695/all-that-polars-that-make-you-forget-pandas-3dc0fdfaefbe", "description": "A blog post that explores some deeper reasons behind the performance gains of Polars over Pandas."}, {"name": "Polars vs Pandas. Inside an AWS Lambda", "url": "https://www.confessionsofadataguy.com/polars-vs-pandas-inside-an-aws-lambda/", "description": "A blog post that covers the topic of using Polars vs Pandas inside an AWS Lambda to do data processing by [@danielbeach](https://github.com/danielbeach). Code used is available on Github [here (⭐9)](https://github.com/danielbeach/polarsVpandasOnAwsLambda)."}, {"name": "DuckDB vs Polars for Data Engineering", "url": "https://www.confessionsofadataguy.com/duckdb-vs-polars-for-data-engineering/", "description": "A blog post that compares Polars and DuckDB with pipelines for Data Engineering by [@danielbeach](https://github.com/danielbeach)."}, {"name": "Pandas vs Polars: A database speed test. Who wins?", "url": "https://medium.com/gitconnected/pandas-v-polars-a-database-speed-test-who-wins-f316182a8bca", "description": "A blog post that compares the run-time of reading a database into a dataframe using Pandas versus using Polars by [Thomas Reid](https://medium.com/@thomas_reid)."}, {"name": "Polars and Pandas : What's the difference ?", "url": "https://blog.jetbrains.com/dataspell/2023/08/polars-vs-pandas-what-s-the-difference/", "description": "A blog post that explains how Polars works under the hood and th best use cases for Polars and Pandas by [@t-redactyl](https://github.com/t-redactyl)."}, {"name": "Understanding the Polars nested column types", "url": "https://www.rhosignal.com/posts/nested-dtypes/?s=09", "description": "A blog post that helps to understand how nested column types works in Polars by [@braaannigan](https://github.com/braaannigan)."}, {"name": "Polars vs DuckDB for Delta Lake ops", "url": "https://wolliq.medium.com/polars-vs-duckdb-for-delta-lake-ops-54353107a032", "description": "A blog post that compares Polars to DuckDB using Delta Lake by [@wolliq](https://github.com/wolliq)."}, {"name": "Enhancing Data Analytics with Polars and MinIO", "url": "https://medium.com/learning-the-computers/enhancing-data-analytics-with-polars-and-minio-a04053fff093", "description": "A blog post that explains how to use Polars with Minio’s open-source object storage by [@IndexSeek](https://github.com/IndexSeek)."}, {"name": "Using Polars with Snowflake", "url": "https://medium.com/snowflake/using-polars-with-snowflake-cbdd49b0ca6b", "description": "A blog post that shows how to use Polars with Snowflake by [@IndexSeek](https://github.com/IndexSeek)."}, {"name": "Partitioning Polars DataFrame on S3 with Apache Arrow", "url": "https://medium.com/@matteo.arellano/partitioning-polars-dataframe-on-s3-with-apache-arrow-1fa6518d23f1", "description": "A blog post that explains how to partition large Polars DataFrames in AWS S3 by [Matteo Arellano](https://medium.com/@matteo.arellano)."}, {"name": "Goodbye Spark. Hello Polars + Delta Lake", "url": "https://dataengineeringcentral.substack.com/p/goodbye-spark-hello-polars-delta", "description": "An article that presents how to use Polars in addition to Delta Lake by [@danielbeach](https://github.com/danielbeach)."}, {"name": "How to learn Polars with ChatGPT?", "url": "https://medium.com/@s.illesinghe/how-to-learn-polars-with-chatgpt-62f67bb0a6f8", "description": "An article that explains how to learn fundamental Polars concepts with ChatGPT by [Suhith Illesinghe](https://medium.com/@s.illesinghe)."}, {"name": "Date and DateTime Manipulation in Polars", "url": "https://www.confessionsofadataguy.com/date-and-datetime-manipulation-in-polar/", "description": "A blog post that shows examples of doing a number of date and datetime manipulations in Polars (Python) by [@danielbeach](https://github.com/danielbeach). Code used is available on Github [here (⭐2)](https://github.com/danielbeach/PolarsDateTimeManipulation/tree/main)."}, {"name": "Pandas2 and Polars for Feature Engineering", "url": "https://www.hopsworks.ai/post/pandas2-and-polars-for-feature-engineering", "description": "A blog post that compares Pandas2 and Polars for Feature Engineering tasks with Python by [@hopswork (⭐1.3k)](https://github.com/logicalclocks/hopsworks)."}, {"name": "Spark vs Polars. Real-life Test Case", "url": "https://dataengineeringcentral.substack.com/p/spark-vs-polars-real-life-test-case", "description": "A blog post in which the author tests whether Polars is able to handle \"real amounts of data\" and \"really replace some production Spark workloads.\" by [@danielbeach](https://github.com/danielbeach). Code used is available on Github [here (⭐13)](https://github.com/danielbeach/PolarsVsPySpark/tree/main)."}, {"name": "Using Polars Plugins for a 14x Speed Boost with Rust", "url": "https://medium.com/towards-data-science/using-polars-plugins-for-a-14x-speed-boost-with-rust-ce80bcc13d94", "description": "A blog post thats shows the use of Polars plugin system for Rust from some concrete examples by [@ngriffiths13](https://github.com/ngriffiths13)."}, {"name": "Working with DateTime data in Polars", "url": "https://medium.com/@riellygriffiths/working-with-datetime-data-in-polars-9bb57e7f6304", "description": "A blog post to helps you with the main operations that can be done with datetime data by [Rielly Griffiths](https://medium.com/@riellygriffiths)."}, {"name": "Revolutionize Your Data Analysis: Polars Outperforms Pandas by Up to 5x in Numerical Filter Operations!", "url": "https://medium.com/@riellygriffiths/working-with-datetime-data-in-polars-9bb57e7f6304", "description": "A blog post that compares Polars with Pandas by examining their performance in the real world by [Daniel Builescu](https://medium.com/@danielbuilescu)."}, {"name": "Time series Analysis with Polars", "url": "https://dev.to/gaborschulz/time-series-analysis-with-polars-3dfg", "description": "A short blog post that explains how to deal with temporal datasets by [@gaborschulz](https://github.com/gaborschulz). Full helpful notebook available [here (⭐1)](https://github.com/gaborschulz/learning-polars/blob/main/01-time-series-analysis/time-series-analysis.ipynb)."}, {"name": "Level Up Your Data Analysis with Polars: A Powerful DataFrame Library for Speed and Efficiency", "url": "https://python.plainenglish.io/level-up-your-data-analysis-with-polars-a-powerful-dataframe-library-for-speed-and-efficiency-0b82c226c7f1", "description": "A blog post that describes the main features of Polars (with benchmarks) by [ravi-m](https://ravi-m.medium.com/)."}, {"name": "polars’ Rgonomic Patterns", "url": "https://www.emilyriederer.com/post/py-rgo-polars/", "description": "A blog post that deeps dive into some of the advanced data wrangling functionality in python’s Polars package by [@emilyriederer](https://github.com/emilyriederer)."}, {"name": "Great Tables: The Polars DataFrame Styler of Your Dreams", "url": "https://posit-dev.github.io/great-tables/blog/polars-styling/", "description": "A post that shows how Great Tables package uses polars expressions to make delightful tables by [@machow](https://github.com/machow)."}, {"name": "Polars dataframe’s plugins and extensibility: getting started", "url": "https://medium.com/datamindedbe/polars-dataframes-plugins-and-extensibility-getting-started-9371d8b3f093", "description": "A post that illustrates the possibility of extending the core Dataframe API of Polars with a few examples by [@brunocous](https://github.com/brunocous)."}, {"name": "15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations", "url": "https://www.blog.dailydoseofds.com/p/15-pandas-polars-sql-pyspark-translations", "description": "A post that depicts the 15 most common tabular operations in Polars and their corresponding translations in Pandas, SQL and PySpark by [@ChawlaAvi](https://github.com/ChawlaAvi)."}, {"name": "LazyFrame: Exploring Laziness in Dataframes from Polars in Python", "url": "https://medium.com/@HeCanThink/lazyframe-exploring-laziness-in-dataframes-from-polars-in-python-46da61d48e79", "description": "A blog post that introduces LazyFrames with Polars an Python by [Manoj Das](https://medium.com/@HeCanThink)."}, {"name": "Data Statistics in Polars", "url": "https://python.plainenglish.io/data-statistics-in-polars-8268be9843c5", "description": "A post that explains how to extract insightful information from your data in Polars by [Alexandre Petit](https://medium.com/@alexandthedataworld)."}, {"name": "Groupby in Polars", "url": "https://python.plainenglish.io/groupby-in-polars-986ef08321ce", "description": "A post that explains how to Learn how to do group data using Polars by [Alexandre Petit](https://medium.com/@alexandthedataworld)."}, {"name": "DuckDB vs Polars - Thunderdome.", "url": "https://dataengineeringcentral.substack.com/p/duckdb-vs-polars-thunderdome", "description": "A blog post that compares Polars and DuckDB with the use of 16 GB of data on a machine of only 4 GB by [@danielbeach](https://github.com/danielbeach)."}, {"name": "How moving from Pandas to Polars made me write better code without writing better code", "url": "https://dev.to/check/how-moving-from-pandas-to-polars-made-me-write-better-code-without-writing-better-code-52bl", "description": "A post that describs the process of \"Polarification\" of code written with Pandas by [@duvenagep](https://github.com/duvenagep)."}, {"name": "Revisiting a Classic Cheminformatics Paper with Polars: The Wiener Index", "url": "https://bertiewooster.github.io/2023/03/10/Revisiting-a-Classic-Cheminformatics-Paper-The-Wiener-Index.html", "description": "A science blog post that uses Polars to track the information for the molecules in DataFrames by [@bertiewooster](https://github.com/bertiewooster)."}, {"name": "How to start using Polars & DuckDB together for data analysis", "url": "https://ganguly-04.medium.com/how-to-start-using-polars-duckdb-together-for-data-analysis-ded30fcb0bd9", "description": "A post that demonstrates the usage of Polars with DuckDB to perform similar data transformations as is done using Pandas by [@sumaniitm](https://github.com/sumaniitm)."}, {"name": "Anatomy of a Polars Query: A Syntax Comparison of Polars vs SQL", "url": "https://medium.com/towards-data-science/anatomy-of-a-polars-query-a-syntax-comparison-of-polars-vs-sql-a0035ac8a4fa", "description": "A post that compares Polars syntax to SQL by [@bfeif](https://github.com/bfeif)."}, {"name": "Pandas vs. Polars — Time to Switch?", "url": "https://medium.com/towards-data-science/pandas-vs-polars-time-to-switch-932d62e7e829", "description": "A blog post that compares Polars to Pandas in a series of 4 benchmarks performed on a csv file with 11 million rows by [@daradecic](https://github.com/daradecic)."}, {"name": "How to JOIN datasets in Polars … compared to Pandas", "url": "https://www.confessionsofadataguy.com/how-to-join-datasets-in-polars-compared-to-pandas/", "description": "A blog post compares dataframe joins in Polars vs Pandas by [@danielbeach](https://github.com/danielbeach)."}, {"name": "DuckDB vs Polars - Which One Is Faster?", "url": "https://medium.com/@yukithejapanese/duckdb-vs-polars-which-one-is-faster-61e73a7680e0", "description": "An unofficial benchmark on DuckDB and Polars by [@StuffbyYuki](https://github.com/StuffbyYuki)."}, {"name": "Pandas vs Polars? Bid Adieu to Pandas and Switch To Polars!", "url": "https://towardsai.net/p/machine-learning/pandas-vs-polars-bid-adieu-to-pandas-and-switch-to-polars?amp=1", "description": "An article that compares Polars to Pandas with a dataset of 1.2 GB. Code used is available on Github [here (⭐1)](https://github.com/sm823zw/pandas-vs-polars)."}, {"name": "Polars vs. Pandas: 30 Comparison Functions", "url": "https://medium.com/@yunuskaradagg/polars-vs-pandas-30-comparison-functions-95335430021b", "description": "A reminder blog post that compares 30 functions written with Polars and Pandas by [Yunuskaradagg](https://medium.com/@yunuskaradagg)."}, {"name": "Polars vs. SQL: When to Choose Python for Your Data Adventures", "url": "https://medium.com/@yunuskaradagg/polars-vs-sql-when-to-choose-python-for-your-data-adventures-a3bb24c93baf", "description": "A blog post that explores some common functions and their counterparts in both Polars and SQL by [Yunuskaradagg](https://medium.com/@yunuskaradagg)."}, {"name": "Age of DataFrames II: Polars Edition", "url": "https://medium.com/datamindedbe/age-of-dataframes-2-polars-edition-83442a06bced", "description": "A blog post that illustrates the features of Polars through the analysis of a tournament from the video game Age of Empires II by \\[@woutergins]. Source code available [here (⭐0)](https://github.com/woutergins/age-of-dataframes)"}, {"name": "Polars: A Modern DataFrame Library", "url": "https://medium.com/gitconnected/polars-a-modern-dataframe-library-dcce43f43f3b", "description": "An article that introduces to Polars design and its main features by [@gox6](https://github.com/gox6)."}, {"name": "Mastering Polars: High-Efficiency Data Analysis and Manipulation", "url": "https://www.geeksforgeeks.org/mastering-polars-high-efficiency-data-analysis-and-manipulation/", "description": "An article that provides a comprehensive introduction of Polars, highlighting its features and showcasing practical examples to get started."}, {"name": "Encrypting data with Polars", "url": "https://garagashli.substack.com/p/encrypting-data-with-polars", "description": "A post that illustrates how to use the polars\\_encryption plugin to encrypt data with Polars by [@zlobendog](https://github.com/zlobendog)."}, {"name": "Case Study Comparing Pandas and Polars with 1 Million Rows Data", "url": "https://medium.com/towards-data-science/statistically-confirm-your-benchmark-case-study-comparing-pandas-and-polars-with-1-million-rows-0ea04d7b61f2", "description": "An blog post that compares benchmarking scores with the Independent samples t-test and Welch’s t-test using Python."}, {"name": "How to Move From Pandas to Polars", "url": "https://blog.jetbrains.com/pycharm/2024/06/how-to-move-from-pandas-to-polars/#conclusion", "description": "A blog post that explains how to move from Pandas to Polars using Pycharm by \\[@Cheukting]."}, {"name": "DuckDB vs Polars — Which One Is Faster?", "url": "https://medium.com/@yukithejapanese/duckdb-vs-polars-which-one-is-faster-61e73a7680e0", "description": "An unofficial benchmark on DuckDB and Polars by [Yuki Kakegawa](https://medium.com/@yukithejapanese)."}, {"name": "Polars: The Must-Know Data Frame Library Every Data Scientist Should Know", "url": "https://ansababy.medium.com/polars-the-must-know-dataframe-library-every-data-scientist-should-know-209e47acceb8", "description": "A blog post that provides a good first guide to the features of Polars by [@AnsaBaby](https://github.com/AnsaBaby)."}, {"name": "Benchmarking energy usage and performance of Polars and pandas", "url": "https://pola.rs/posts/benchmark-energy-performance/", "description": "A blog post by [the Polars team](https://pola.rs/) itself benchmarking Polars and Pandas."}, {"name": "Why I’m Switching to Polars", "url": "https://arilamstein.com/blog/2024/09/04/why-im-switching-to-polars/", "description": "A blog post that explains the reasons why Ari Lamstein now uses Polars by [@arilamstein](https://github.com/arilamstein)."}, {"name": "Polars: A Modern DataFrame Library for High-Performance Data Analysis in Python", "url": "https://medium.com/@ardi.arunaditya/polars-a-modern-dataframe-library-for-high-performance-data-analysis-in-python-6e808dd591ee", "description": "An article that presents data manipulation operations focusing on eager execution by [Ardi Arunaditya](https://medium.com/@ardi.arunaditya)."}, {"name": "Using Polars in Rust for high-performance data analysis", "url": "https://dev.to/logrocket/using-polars-in-rust-for-high-performance-data-analysis-4ed3", "description": "An article that looks how to use Polars to build a basic data analysis application, which exposes data sets and querying capabilities via a REST-based Web API by [@Mario Zupan](https://blog.logrocket.com/author/mariozupan)."}, {"name": "Pandas vs Polars: Performance Benchmarks for Common Data Operations", "url": "https://www.statology.org/pandas-vs-polars-performance-benchmarks-for-common-data-operations/", "description": "A blog post that compares performance on common data operations between Polars and Pandas by Vinod Chugani."}, {"name": "The Polars vs pandas Difference Nobody is Talking About", "url": "https://labs.quansight.org/blog/dataframe-group-by?utm_campaign=Polars\\&utm_medium=Social\\&utm_source=Medium\\&utm_content=Labs\\&utm_term=Blog", "description": "A blog post that talks about non-elementary group-by aggregations with Polars by [@marcogorelli](https://github.com/marcogorelli)."}, {"name": "Translating Pandas to Polars", "url": "https://towardsdev.com/translating-pandas-to-polars-a7446c82bcca", "description": "A blog post that that proposes 20 code translations from Pandas to Polars by [@Rohit-Salunke](https://github.com/Rohit-Salunke)."}, {"name": "Tutorials about Polars", "url": "https://sparkbyexamples.com/category/polars/", "description": "A list of blog posts on Polars topics by [@sparkbyexamples](https://github.com/sparkbyexamples)."}, {"name": "How to Deal With Missing Data in Polars", "url": "https://realpython.com/polars-missing-data/", "description": "A post that covers practical techniques for managing missing data with Polars by [Ian Eyre](https://realpython.com/team/ieyre/)."}, {"name": "Polars intro", "url": "https://rparkr.github.io/polars-intro/", "description": ""}, {"name": "Build a Decision Tree in Polars from Scratch", "url": "https://medium.com/towards-data-science/build-a-decision-tree-in-polars-from-scratch/", "description": "A post that explains how to build a decision tree with Polars by [@tocab](https://github.com/tocab). Code used is available on Github [here (⭐6)](https://github.com/tocab/efficient-trees)."}, {"name": "Pandas vs Polars: is it time to change?", "url": "https://medium.com/data-reply-it-datatech/pandas-vs-polars-is-it-time-to-change-6a387a8d12dd", "description": "A post that summarizes the main issues involved in the transition from Pandas to Polars by [Michelangelo Florio](https://medium.com/@mic.florio)."}, {"name": "The Complete Guide to Polars for Data Science", "url": "https://noroinsight.com/polars-for-data-science-complete-guide/", "description": "A hands-on tutorial that teaches how to load, manipulate, transform and optimize data sets with Polars in Python by [@norochalise](https://github.com/norochalise). Code used is available on Github [here (⭐1)](https://github.com/norochalise/noroinsight-polars-tutorial)."}, {"name": "Pandas vs Polars : Comparaison des performances et de la mémoire", "url": "https://www.monshotdata.com/p/pandas-vs-polars", "description": "A 2025 benchmark that compares the performance of Polars and Pandas by [@moncoachdata](https://github.com/moncoachdata). Code used is available on Github [here (⭐19)](https://github.com/moncoachdata/MonShotData/blob/main/Pandas/Polars-vs-Pandas.ipynb?utm_source=www.monshotdata.com\\&utm_medium=referral\\&utm_campaign=pandas-vs-polars-comparaison-des-performances-et-de-la-memoire)."}, {"name": "Polars for Pandas Users — A Blazing Fast DataFrame Alternative", "url": "https://www.kdnuggets.com/polars-for-pandas-users-a-blazing-fast-dataframe-alternative", "description": "A tutorial article that shows how to migrate from Pandas to Polars with code examples and performance optimization tips by Vinod Chugani."}, {"name": "Data Validation Libraries for Polars (2025 Edition)", "url": "https://posit-dev.github.io/pointblank/blog/validation-libs-2025/", "description": "A survey of five Python data validation libraries compatible with Polars, highlighting their strengths and trade-offs for robust data pipeline validation in 2025 by [@rich-iannone](https://github.com/rich-iannone)."}, {"name": "Reshape Data in Polars Efficiently from Wide to Long Form", "url": "https://samukweku.github.io/data-wrangling-blog/notebooks/Reshape-Data-in-Polars-Wide-to_Long-Part-I.html", "description": "A blog post list that details efficient transformation for Polars DataFrames from wide to long form by [@samukweku](https://github.com/samukweku)."}, {"name": "Polars Boosted My Algorithm's Speed by 25x", "url": "https://john.soban.ski/polars.html", "description": "A blog post that explains how using Polars increases code execution speed by 25 times compared to Pandas by [@hatdropper1977](https://github.com/hatdropper1977)."}, {"name": "DuckDB vs Polars. Wait. DuckDB and Polars", "url": "https://www.confessionsofadataguy.com/duckdb-vs-polars-wait-duckdb-and-polars/", "description": "A blog post that helps you choose between Polars and DuckDB based on use cases by [@danielbeach](https://github.com/danielbeach)."}, {"name": "Pandas vs Polars in 2025 — Should You Finally Make the Switch?", "url": "https://python.plainenglish.io/pandas-vs-polars-in-2025-should-you-finally-make-the-switch-90fb2756ffe1", "description": "An article that compares performance and features between Polars and Pandas in 2025 by [@Gecofer](https://github.com/Gecofer)."}, {"name": "How to Use the Polars Library in Python for Data Analysis", "url": "https://www.freecodecamp.org/news/how-to-use-the-polars-library-in-python-for-data-analysis/", "description": "An end 2025 beginner-friendly introduction to the Polars library in Python by [Sara Jadhav](https://www.freecodecamp.org/news/author/Eccentric-/)."}, {"name": "Polars vs pandas: Choosing the Right Python DataFrame Library for Your Data Workflow", "url": "https://www.databricks.com/glossary/polaris-vs-pandas", "description": "A Databricks article comparing Pandas and Polars across performance, syntax, features, and use cases for Python data analysis by [@databricks](https://github.com/databricks)."}]}, {"name": "Talks and videos", "parent": "Resources", "entries": [{"name": "Polars: Blazingly Fast DataFrames in Rust and Python", "url": "https://www.youtube.com/watch?v=kVy3-gMdViM", "description": ""}, {"name": "Polars: The Next Big Python Data Science Library... written in Rust?", "url": "https://www.youtube.com/watch?v=VHqn7ufiilE", "description": ""}, {"name": "The Best library for building Data Pipelines...", "url": "https://www.youtube.com/watch?v=mi9f9zOaqM8", "description": ""}, {"name": "Expressive & fast dataframes in Python with polars", "url": "https://www.youtube.com/watch?v=8nYEX0E07zc", "description": ""}, {"name": "Polars Introduction for Python with a 128GB Ryzen 24-core Benchmark vs Pandas", "url": "https://www.youtube.com/watch?v=J0wpRP-ExVg\\&ab_channel=JeffHeaton", "description": ""}, {"name": "Polars: The main alternative to pandas in Python!?", "url": "https://www.youtube.com/playlist?list=PLo9Vi5B84_dfAuwJqNYG4XhZMrGTF3sBx", "description": ""}, {"name": "Polars vs Pandas", "url": "https://www.youtube.com/watch?v=jU8Ghp7tRCU\\&ab_channel=hu-po", "description": ""}, {"name": "Polars: The Super Fast Dataframe Library for Python — Goodbye Pandas?", "url": "https://medium.com/geekculture/polars-the-super-fast-dataframe-library-for-python-goodbye-pandas-85156e84337f", "description": "An article and a [video](https://www.youtube.com/watch?v=CByx7XjYMhw) ⏳ `19 min` that explores some basic features of Polars by Frank Andrade."}, {"name": "Manipulación de Datos con Polars en python", "url": "https://www.youtube.com/watch?v=3RM3pWw2iRQ", "description": ""}, {"name": "An opinionated introduction to Polars", "url": "https://www.dropbox.com/s/fphay3yav2b2rdq/2023_polars.pdf?dl=1", "description": "Great Polars introduction slides from [@krlng](https://github.com/krlng) at PyCon 2023."}, {"name": "Polars - 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