KernelAbstractions.jl
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Overview
HEALTH SCORE
Excellent*
Partial score (2/3 categories)
62out of 65
Strong maintainer coverage. Development cadence 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.
Health breakdown
Excellent*(62/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 0 days.
Bus factor
6 active maintainers currently have merge rights.
Organization Diversity
Contributors span 52 organizations.
Project Achievements
Leaderboards
About
KernelAbstractions.jl is a Julia package that provides a high-level, hardware-agnostic abstraction layer for writing GPU and CPU kernels. It enables writing portable parallel code that can run efficiently across different hardware architectures while maintaining a unified programming model.
First commit
Software value
$217K
Tags
gpu-computing
heterogeneous-parallel-programming
julia
julia-package
julialang
License(s)
MIT
Data sources
Git
GitHub