polars-runtime-32

Blazingly fast DataFrame library

polars-runtime-32 Permissive license MIT Active ★ 39,348 v1.43.2 released 2026-08-01

Install

polars-runtime-32 on PyPI

pip

pip install polars-runtime-32

uv

uv add polars-runtime-32

poetry

poetry add polars-runtime-32

Package facts

License	MIT (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	medium — platform-specific wheel
Runtime dependencies	none
Maintenance	actively maintained — 12 days since the last release
Last repo commit	2026-08-13
First released	2025-09-26
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: polars_runtime_32-1.43.2-cp310-abi3-macosx_10_12_x86_64.whl; polars_runtime_32-1.43.2-cp310-abi3-macosx_11_0_arm64.whl; polars_runtime_32-1.43.2-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; polars_runtime_32-1.43.2-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; polars_runtime_32-1.43.2-cp310-abi3-musllinux_1_2_aarch64.whl; polars_runtime_32-1.43.2-cp310-abi3-musllinux_1_2_x86_64.whl; polars_runtime_32-1.43.2-cp310-abi3-win_amd64.whl; polars_runtime_32-1.43.2-cp310-abi3-win_arm64.whl

Keywords: dataframe, arrow, out-of-core

Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: RustTopic :: Scientific/EngineeringTyping :: Typed

About polars-runtime-32

from the package's own PyPI description — quoted content, verbatim

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

Read as markdown · JSON record · Source repository · Homepage · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

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.

Medium install friction due to platform-specific compiled wheels (cp310-abi3 across macOS, Linux, Windows, and ARM architectures). Active maintenance with release 12 days old and 39348 GitHub stars signal strong project health. Requires Python ≥3.10.

MIT license (permissive) allows commercial and private use with minimal restrictions—typical for data science libraries and poses no licensing barrier to adoption.

Usage

pip install polars-runtime-32==1.43.2

import polars as pl

df = pl.scan_parquet("data.parquet").filter(pl.col("status") == "shipped").collect()

Requires Python ≥3.10; compiled wheels are platform-specific (macOS x86_64/ARM, Linux x86_64/ARM, Windows x86_64/ARM, musl)—verify your platform is supported before install.

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.

Needs verification

Whether polars-runtime-32 is a standalone package or a runtime component of a larger polars package.
GPU support availability and requirements for this specific runtime variant.
Performance characteristics relative to alternative dataframe solutions in your use case.

fast dataframe libraryquery engine for data analysisout-of-core data processinglazy evaluation dataframevectorized columnar dataarrow-based analyticsstreaming dataframe engine