CUDA.jl

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Overview

HEALTH SCORE

Excellent*

Partial score (2/3 categories)

61out of 65

Strong development cadence. Maintainer coverage is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.

LIFECYCLE

Active

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

Display your project Health score on your GitHub page.

Health breakdown

Excellent*(61/65)

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

Maintainer responsiveness

Median response time is 2 days.

Bus factor

17 active maintainers currently have merge rights.

Organization Diversity

Contributors span 84 organizations.

Project Achievements

Leaderboards

About

CUDA.jl is a Julia programming language package that provides a comprehensive interface to NVIDIA's CUDA toolkit, enabling GPU computing capabilities within Julia. It allows developers to write high-performance GPU code using Julia's native syntax while abstracting away many low-level CUDA details.

First commit

September 2013

Software value

$3.6M