Polars

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Overview

HEALTH SCORE

Excellent

85out of 100

Strong maintainer coverage and development cadence. Security posture is the only remaining gap.

LIFECYCLE

Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

Display your project Health score on your GitHub page.

Health breakdown

Excellent(85/100)

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 0 days.

Bus factor

71 active maintainers currently have merge rights.

Organization Diversity

Contributors span 1120 organizations.

Project Achievements

Leaderboards

About

Polars is a high-performance DataFrame library implemented in Rust, offering fast data manipulation and analysis capabilities with a Python API. It features a query optimizer, parallel execution, and efficient memory usage through Arrow columnar format.

First commit

May 2020

Software value

$24M