polars-runtime-32

PyPI v1.39.3

8,668,590 weekly downloads · 0 Dependencies

Recently publishedZero dependencies

Source data as of:

Summary

Blazingly fast DataFrame library

Install pip install polars-runtime-32

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 8,668,590 Source: PyPI (Python Package Index)
Releases 21 Last release: 2026-03-20 Source: PyPI (Python Package Index)
Dependencies 0 Source: PyPI (Python Package Index)

Description

Blazingly fast DataFrame library

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
polars-runtime-32
Registry
PyPI
Version
1.39.3
Weekly downloads
8,668,590 (weekly)
Dependencies
0
Releases
21
Last release
2026-03-20
First published
2025-09-26
Keywords
dataframe, arrow, out-of-core
Repository
https://github.com/pola-rs/polars

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 61.5 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 0.1 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 18.8 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources