the portable Python dataframe library

Mimesis is a robust data generator for Python that can produce a wide range of 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.

Time series easier, faster, more fun. Pytimetk.

Python DataFrames as Interactive DataTables

Better SQL in Jupyter. 📊

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

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

Build reliable AI and agentic applications with DataFrames

Code and data for the Modern Polars book

Polars plugin offering eXtra stuff for DateTimes

Technical Analysis Indicators for polars

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.

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

Geospatial extension for Polars DataFrames.

codegen from expression to others, such as polars, pandas

One-click ML infrastructure for teams that just want to get sh*t done.

Simplifying conditional Polars Expressions with Python 🐍 🐻‍❄️

a lightweight, comprehensive solution for managing delta tables built on polars and deltalake