Open Source
PyTorch Lightning
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Our verdict
We have not reviewed PyTorch Lightning yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About PyTorch Lightning
PyTorch Lightning is a Python framework that abstracts boilerplate code for training neural networks, enabling the same code to run on single GPUs, multiple GPUs, TPUs, or distributed clusters without modification. It wraps PyTorch training loops with built-in support for logging, checkpointing, and hardware scaling.
Best for
Teams training models at scale who want to avoid rewriting training code for different hardware configurations
Use cases
- Scale model training from laptop to multi-GPU clusters without rewriting code
- Reduce PyTorch boilerplate for experiment tracking and checkpoint management
- Train large models across heterogeneous hardware setups
Notes
31,168 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Pros
- Hardware-agnostic code runs identically on single GPU, multi-GPU, TPU, and distributed setups
- Eliminates repetitive training loop code and device management
- Strong community adoption with 31k+ GitHub stars and active maintenance
Cons
- Adds abstraction layer that can obscure underlying PyTorch behavior for debugging
- Learning curve for developers unfamiliar with the LightningModule pattern
- Performance overhead compared to hand-optimized PyTorch for specialized use cases
Key facts
What we have checked
- Latest version
- 2.6.6 (released 10 Sept 2026)
- GitHub stars
- 31,362
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How PyTorch Lightning is growing
31,168 to 31,362
Alternatives
Alternatives to PyTorch Lightning
| Record | Type | How we know | Checked |
|---|---|---|---|
| AccelerateAlternative to this | Open source | Named in the listing | Not dated |
| LudwigAlternative to this | Open source | Named in the listing | Not dated |
| KerasThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare PyTorch Lightning side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 2.6.6
Released 2.6.5
Released 2.6.4
Released 2.6.1
Released 2.6.0
Released 2.5.6
Released 2.5.5
Released 2.5.4
Released 2.5.3
Released 2.5.2
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Accelerate
Community
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP a
Ludwig
Community
Low-code framework for building custom LLMs, neural networks, and other AI models
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Guild AI
Community
Experiment tracking, ML developer tools
Harmonia
Community
Federated Learning Made Easy
learn2learn
Community
A PyTorch Library for Meta-learning Research
Model Search
Community
GitHub Badge
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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