Comparison
pytorch-lightning vs pytorch
Verdict
Pick pytorch-lightning if pyTorch Lightning scales PyTorch models across GPUs with minimal code changes; pick pytorch if dynamic computation graphs with GPU acceleration.
Markdown twin · pytorch-lightning alternatives · pytorch alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | pytorch-lightning | pytorch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- pytorch-lightning
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
- pytorch
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
Stars
- pytorch-lightning
- 31k
- pytorch
- 102k
Forks
- pytorch-lightning
- 3.8k
- pytorch
- 29k
Open issues
- pytorch-lightning
- 1.1k
- pytorch
- 18k
Language
- pytorch-lightning
- Python
- pytorch
- Python
Adopt for
- pytorch-lightning
- PyTorch Lightning scales PyTorch models across GPUs with minimal code changes.
- pytorch
- Dynamic computation graphs with GPU acceleration.
Persona
- pytorch-lightning
- -
- pytorch
- -
Runtime
- pytorch-lightning
- -
- pytorch
- -
License
- pytorch-lightning
- Apache-2.0
- pytorch
- Other
Last pushed
- pytorch-lightning
- Aug 3, 2026
- pytorch
- Aug 3, 2026
Categories
- pytorch-lightning
- Inference & Serving, Model Training
- pytorch
- Inference & Serving, Model Training
Trust and health
Open issues (now)
- pytorch-lightning
- 1.1k
- pytorch
- 18k
Full report
- pytorch-lightning
- Trust report
- pytorch
- Trust report
Typed relationship
pytorch-lightning integrates pytorchPyTorch Lightning is a tool designed to work seamlessly with PyTorch, providing an easier method for training and scaling deep learning models.
Shared compatibility
- Python · pytorch-lightning: Python runtime · pytorch: Python runtime
Choose pytorch-lightning if…
- License: pytorch-lightning is Apache-2.0, pytorch is Other.
- PyTorch Lightning is a tool designed to work seamlessly with PyTorch, providing an easier method for training and scaling deep learning models.
- Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, pytorch.
- Scalable ML model training with consistent API across single to multiple GPUs
When NOT to use pytorch-lightning
- For lightweight models requiring minimal configuration or manual control over model distribution
- Projects that target environments without access to multi-GPU setups and do not require scalability features
Choose pytorch if…
- License: pytorch is Other, pytorch-lightning is Apache-2.0.
- PyTorch Lightning is a tool designed to work seamlessly with PyTorch, providing an easier method for training and scaling deep learning models.
- Tags unique to pytorch: autograd, gpu, neural-network, numpy.
- pytorch ships Docker support for self-hosted deployment.
- Required dynamic computation graph functionality for flexible model architectures
When NOT to use pytorch
- Static graph frameworks like TensorFlow are preferred for simpler, less variable models
- Environments with limited GPU support or requiring multi-language compatibility
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Lightning-AI/pytorch-lightning) · observed Aug 3, 2026
- GitHub forks (Lightning-AI/pytorch-lightning) · observed Aug 3, 2026
- Last push (Lightning-AI/pytorch-lightning) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pytorch/pytorch) · observed Aug 3, 2026
- GitHub forks (pytorch/pytorch) · observed Aug 3, 2026
- Last push (pytorch/pytorch) · observed Aug 3, 2026
- License file (Other) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pytorch-lightning 31k · pytorch 102k (synced Aug 3, 2026).
Common questions
- What is the difference between pytorch-lightning and pytorch?
- pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. See the comparison table for live GitHub stats and shared categories.
- When should I choose pytorch-lightning over pytorch?
- Choose pytorch-lightning over pytorch when License: pytorch-lightning is Apache-2.0, pytorch is Other; PyTorch Lightning is a tool designed to work seamlessly with PyTorch, providing an easier method for training and scaling deep learning models; Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, pytorch; Scalable ML model training with consistent API across single to multiple GPUs.
- When should I choose pytorch over pytorch-lightning?
- Choose pytorch over pytorch-lightning when License: pytorch is Other, pytorch-lightning is Apache-2.0; PyTorch Lightning is a tool designed to work seamlessly with PyTorch, providing an easier method for training and scaling deep learning models; Tags unique to pytorch: autograd, gpu, neural-network, numpy; pytorch ships Docker support for self-hosted deployment; Required dynamic computation graph functionality for flexible model architectures.
- When should I avoid pytorch-lightning?
- For lightweight models requiring minimal configuration or manual control over model distribution Projects that target environments without access to multi-GPU setups and do not require scalability features
- When should I avoid pytorch?
- Static graph frameworks like TensorFlow are preferred for simpler, less variable models Environments with limited GPU support or requiring multi-language compatibility
- Is pytorch-lightning or pytorch more popular on GitHub?
- pytorch has more GitHub stars (102,144 vs 31,267). Stars measure visibility, not whether either tool fits your constraints.
- Are pytorch-lightning and pytorch open source?
- Yes - both are open-source projects on GitHub (pytorch-lightning: Apache-2.0, pytorch: Other).
- Where can I find alternatives to pytorch-lightning or pytorch?
- GraphCanon lists graph-backed alternatives at pytorch-lightning alternatives and pytorch alternatives (pytorch-lightning markdown twin, pytorch markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, pytorch-lightning or pytorch?
- pytorch-lightning: Very active. pytorch: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for pytorch-lightning and pytorch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pytorch-lightning trust report; pytorch trust report.