Comparison
pytorch-lightning vs pytorch
Verdict
Pick pytorch-lightning when license: pytorch-lightning is Apache-2.0, pytorch is Other; pick pytorch when license: pytorch is Other, pytorch-lightning is Apache-2.0.
Markdown twin · pytorch-lightning alternatives · pytorch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | pytorch-lightning | pytorch |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No criticals As of today · osv@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
- 28k
Open issues
- pytorch-lightning
- 1.0k
- pytorch
- 18k
Language
- pytorch-lightning
- Python
- pytorch
- Python
Adopt for
- pytorch-lightning
- -
- pytorch
- -
Persona
- pytorch-lightning
- -
- pytorch
- -
Runtime
- pytorch-lightning
- -
- pytorch
- -
License
- pytorch-lightning
- Apache-2.0
- pytorch
- Other
Last pushed
- pytorch-lightning
- Jul 10, 2026
- pytorch
- Jul 11, 2026
Categories
- pytorch-lightning
- Model Training, Computer Vision
- pytorch
- Model Training, Data & Retrieval, Computer Vision
Trust and health
Days since push
- pytorch-lightning
- 1d
- pytorch
- 0d
Open issues (now)
- pytorch-lightning
- 1.0k
- pytorch
- 18k
Full report
- pytorch-lightning
- Trust report
- pytorch
- Trust report
Shared compatibility
- Python · pytorch-lightning: Python runtime · pytorch: Python runtime
Choose pytorch-lightning if…
- License: pytorch-lightning is Apache-2.0, pytorch is Other.
- Tags unique to pytorch-lightning: data-science, ai, artificial-intelligence, pytorch.
- Leaner open-issue backlog (1.0k).
When NOT to use pytorch-lightning
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose pytorch if…
- License: pytorch is Other, pytorch-lightning is Apache-2.0.
- Tags unique to pytorch: autograd, gpu, neural-network, numpy.
- Also covers Data & Retrieval.
- pytorch ships Docker support for self-hosted deployment.
When NOT to use pytorch
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
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 Jul 11, 2026
- GitHub forks (Lightning-AI/pytorch-lightning) · observed Jul 11, 2026
- Last push (Lightning-AI/pytorch-lightning) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pytorch/pytorch) · observed Jul 11, 2026
- GitHub forks (pytorch/pytorch) · observed Jul 11, 2026
- Last push (pytorch/pytorch) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pytorch-lightning 31k · pytorch 102k (synced Jul 11, 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; Tags unique to pytorch-lightning: data-science, ai, artificial-intelligence, pytorch; Leaner open-issue backlog (1.0k).
- When should I choose pytorch over pytorch-lightning?
- Choose pytorch over pytorch-lightning when License: pytorch is Other, pytorch-lightning is Apache-2.0; Tags unique to pytorch: autograd, gpu, neural-network, numpy; Also covers Data & Retrieval; pytorch ships Docker support for self-hosted deployment.
- When should I avoid pytorch-lightning?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid pytorch?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Is pytorch-lightning or pytorch more popular on GitHub?
- pytorch has more GitHub stars (101,752 vs 31,233). 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.