PyTorch Lightning
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Overview
HEALTH SCORE
Healthy*
Partial score (2/3 categories)
55out of 65
Solid maintainer coverage. Development cadence keeps the score from reaching Excellent. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy*(55/65)
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
29 active maintainers currently have merge rights.
Organization Diversity
Contributors span 315 organizations.
Project Achievements
Leaderboards
About
PyTorch Lightning is a lightweight PyTorch wrapper that helps researchers and engineers train deep learning models with high performance at scale. It provides a high-level interface for organizing PyTorch code, automating complex training features like distributed training, mixed precision, and model checkpointing while removing boilerplate code.
First commit
Software value
$4.6M
Tags
ai
artificial-intelligence
data-science
deep-learning
machine-learning
python
pytorch
License(s)
Apache-2.0
Links
Data sources
Git
GitHub