Comparison
pytorch-lightning vs hub
Verdict
Pick pytorch-lightning when tags unique to pytorch-lightning: data-science, deep-learning, ai, artificial-intelligence; pick hub when tags unique to hub: ml, embeddings, image-classification, transfer-learning.
Markdown twin · pytorch-lightning alternatives · hub alternatives
GraphCanon updated today
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Trust & integrity
| Signal | pytorch-lightning | hub |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Dormant (539d 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 lockfile As of today · none |
Tagline
- pytorch-lightning
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
- hub
- A library for transfer learning by reusing parts of TensorFlow models.
Stars
- pytorch-lightning
- 31k
- hub
- 3.5k
Forks
- pytorch-lightning
- 3.8k
- hub
- 1.6k
Open issues
- pytorch-lightning
- 1.0k
- hub
- 14
Language
- pytorch-lightning
- Python
- hub
- Python
Adopt for
- pytorch-lightning
- -
- hub
- -
Persona
- pytorch-lightning
- -
- hub
- -
Runtime
- pytorch-lightning
- -
- hub
- -
License
- pytorch-lightning
- Apache-2.0
- hub
- Apache-2.0
Last pushed
- pytorch-lightning
- Jul 10, 2026
- hub
- Jan 17, 2025
Categories
- pytorch-lightning
- Model Training, Computer Vision
- hub
- Vector Databases, Model Training, Computer Vision
Trust and health
Maintenance
- pytorch-lightning
- Very active (96%)
- hub
- Dormant (18%)
Days since push
- pytorch-lightning
- 1d
- hub
- 539d
Open issues (now)
- pytorch-lightning
- 1.0k
- hub
- 14
Security scan
- pytorch-lightning
- No criticals
- hub
- No lockfile
Full report
- pytorch-lightning
- Trust report
- hub
- Trust report
Choose pytorch-lightning if…
- Tags unique to pytorch-lightning: data-science, deep-learning, ai, artificial-intelligence.
- More GitHub stars (31k vs 3.5k) - visibility, not fit.
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 hub if…
- Tags unique to hub: ml, embeddings, image-classification, transfer-learning.
- Also covers Vector Databases.
- Leaner open-issue backlog (14).
When NOT to use hub
- Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 (tensorflow/hub) · observed Jul 11, 2026
- GitHub forks (tensorflow/hub) · observed Jul 11, 2026
- Last push (tensorflow/hub) · observed Jan 17, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pytorch-lightning 31k · hub 3.5k (synced Jul 11, 2026).
Common questions
- What is the difference between pytorch-lightning and hub?
- pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. hub: A library for transfer learning by reusing parts of TensorFlow models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose pytorch-lightning over hub?
- Choose pytorch-lightning over hub when Tags unique to pytorch-lightning: data-science, deep-learning, ai, artificial-intelligence; More GitHub stars (31k vs 3.5k) - visibility, not fit.
- When should I choose hub over pytorch-lightning?
- Choose hub over pytorch-lightning when Tags unique to hub: ml, embeddings, image-classification, transfer-learning; Also covers Vector Databases; Leaner open-issue backlog (14).
- 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 hub?
- Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is pytorch-lightning or hub more popular on GitHub?
- pytorch-lightning has more GitHub stars (31,233 vs 3,521). Stars measure visibility, not whether either tool fits your constraints.
- Are pytorch-lightning and hub open source?
- Yes - both are open-source projects on GitHub (pytorch-lightning: Apache-2.0, hub: Apache-2.0).
- Where can I find alternatives to pytorch-lightning or hub?
- GraphCanon lists graph-backed alternatives at pytorch-lightning alternatives and hub alternatives (pytorch-lightning markdown twin, hub 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 hub?
- pytorch-lightning: Very active. hub: Dormant. 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 hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pytorch-lightning trust report; hub trust report.