Ascend Extension for PyTorch
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Overview
HEALTH SCORE
Concerning*
Partial score (2/3 categories)
31out of 65
Maintainer coverage is the lead risk. Development cadence is present but not enough to offset the structural risk. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Concerning*(31/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 11 days.
Bus factor
Only 2 active maintainers currently have merge rights.
Organization Diversity
Contributors span 27 organizations.
Project Achievements
Leaderboards
About
An extension that enables PyTorch to run on Huawei Ascend AI processors/NPUs, providing hardware acceleration and optimization capabilities for deep learning models on Ascend platforms
First commit
Software value
$19M
Tags
ascend
deep-learning
pytorch
License(s)
Other
Data sources
Git
GitHub