---
id: polars-runtime-32
version: "1.43.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# polars-runtime-32 — Blazingly fast DataFrame library

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

## Install

pip install polars-runtime-32
uv add polars-runtime-32
poetry add polars-runtime-32

## 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-runtime-32 is a compiled runtime component providing fast, vectorized DataFrame query execution with lazy and eager modes, streaming for larger-than-RAM datasets, and an expressive API for analytical workloads.

Verdict: polars-runtime-32 1.43.2 is a production-ready, actively maintained runtime component with zero known vulnerabilities. Its Rust foundation and vectorized execution make it suitable for analytical workloads, though medium install friction and Python 3.10+ requirement should be confirmed against your deployment environment.

[View on SkillFed](https://skillfed.io/packages/polars-runtime-32) · [View on PyPI](https://pypi.org/project/polars-runtime-32/)