the portable Python dataframe library

Mimesis is a fast Python library for generating fake data in multiple languages.

Lightweight and extensible compatibility layer between dataframe libraries!

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Python DataFrames as Interactive DataTables

Time series easier, faster, more fun. Pytimetk.

Geospatial extensions for Polars

Better SQL in Jupyter. 📊

Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks

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

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

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

Extremely fast quantitative factor cleaning and backtesting library, based on Polars

Technical Analysis Indicators for polars

Polars plugin offering eXtra stuff for DateTimes

Code and data for the Modern Polars book

Geospatial extension for Polars DataFrames.

Blazing-Fast Bioinformatic Operations on Python DataFrames

How you (yes, you!) can write a Polars Plugin

Korean DART + SEC EDGAR filings as structured Python data for company analysis