Dask

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Overview

HEALTH SCORE

Excellent

88out 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.

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Health breakdown

Excellent(88/100)

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

Maintainer responsiveness

Median response time is 1 day.

Bus factor

24 active maintainers currently have merge rights.

Organization Diversity

Contributors span 190 organizations.

Project Achievements

Leaderboards

About

Dask is a flexible parallel computing library for analytics that provides dynamic task scheduling optimized for computation and integrates with Python data science libraries like NumPy, Pandas and Scikit-learn. It enables parallel and distributed computing through intuitive APIs and scales Python code from multi-core machines to clusters.

First commit

December 2014

Software value

$6.9M