---
id: polars
version: "1.43.2"
license: Copyright (c) 2025 Ritchie Vink Copyright (c) 2024 (Some portions) NVIDIA CORPORATION & AFFILIATES. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# polars — Blazingly fast DataFrame library

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install polars
uv add polars
poetry add polars

## Description

<h1 align="center">
  <a href="https://pola.rs">
    <img src="https://raw.githubusercontent.com/pola-rs/polars-static/master/banner/polars_github_banner.svg" alt="Polars logo">
  </a>
</h1>

<div align="center">
  <a href="https://crates.io/crates/polars">
    <img src="https://img.shields.io/crates/v/polars.svg" alt="crates.io Latest Release"/>
  </a>
  <a href="https://pypi.org/project/polars/">
    <img src="https://img.shields.io/pypi/v/polars.svg" alt="PyPi Latest Release"/>
  </a>
  <a href="https://www.npmjs.com/package/nodejs-polars">
    <img src="https://img.shields.io/npm/v/nodejs-polars.svg" alt="NPM Latest Release"/>
  </a>
  <a href="https://community.r-multiverse.org/polars">
    <img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fcommunity.r-multiverse.org%2Fapi%2Fpackages%2Fpolars&query=%24.Version&label=r-multiverse" alt="R-multiverse Latest Release"/>
  </a>
  <a href="https://doi.org/10.5281/zenodo.7697217">
    <img src="https://zenodo.org/badge/DOI/10.5281/zenodo.7697217.svg" alt="DOI Latest Release"/>
  </a>
</div>

<p align="center">
  <b>Documentation</b>:
  <a...

## AI interpretation — verify before relying

Polars is a Rust-based analytical query engine for DataFrames that executes complex data transformations with lazy or eager evaluation, multi-threaded vectorized processing, and support for datasets larger than available RAM.

Verdict: Polars is a production-ready, actively maintained dataframe library with zero known vulnerabilities, low installation friction, and permissive licensing. Its Rust foundation and lazy query optimization make it well-suited for large-scale analytical workloads, though users should verify compatibility with their specific CPU architecture or memory constraints.

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