Polars Python Packages

narwhals

Lightweight and extensible compatibility layer between dataframe libraries!

polars

Extremely fast Query Engine for DataFrames, written in Rust

polars-runtime-32

Extremely fast Query Engine for DataFrames, written in Rust

ibis-framework

the portable Python dataframe library

datacompy

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

fastexcel

A fast excel reader for Rust and Python

mimesis

Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

itables

Python DataFrames as Interactive DataTables

polars-lts-cpu

Extremely fast Query Engine for DataFrames, written in Rust

dataframely

A declarative, 🐻‍❄️-native data frame validation library.

polars-runtime-compat

Extremely fast Query Engine for DataFrames, written in Rust

awkward-pandas

For when your data won't fit in your dataframe

jupysql

Better SQL in Jupyter. 📊

polars-runtime-64

Extremely fast Query Engine for DataFrames, written in Rust

mycli

Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes

xbbg

Intuitive Data Workflows

polars-u64-idx

Extremely fast Query Engine for DataFrames, written in Rust

polars-xdt

Polars plugin offering eXtra stuff for DateTimes

polars-h3

🌎 Polars H3 Geospatial Plugin

h3ronpy

A data science toolkit for the H3 geospatial grid

polars-st

Geospatial extension for Polars DataFrames.

dataframe-api-compat

Extremely lightweight compatibility layer between pandas and Polars

apexbase

A High-performance HTAP embedded database. A reliable work partner.

chile-hub

Datos públicos de Chile curados, normalizados y validados: geografía, demografía, economía, salud, educación y distritos electorales. Listos para consumir en una línea de código con Polars, DuckDB, SQLite y Excel.