Comparison
pytorch vs hub
Verdict
Pick pytorch when license: pytorch is Other, hub is Apache-2.0; pick hub when license: hub is Apache-2.0, pytorch is Other.
Markdown twin · pytorch alternatives · hub alternatives
GraphCanon updated today
Trust & integrity
| Signal | pytorch | hub |
|---|---|---|
| Maintenance | Very active (0d 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
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
- hub
- A library for transfer learning by reusing parts of TensorFlow models.
Stars
- pytorch
- 102k
- hub
- 3.5k
Forks
- pytorch
- 28k
- hub
- 1.6k
Open issues
- pytorch
- 18k
- hub
- 14
Language
- pytorch
- Python
- hub
- Python
Adopt for
- pytorch
- -
- hub
- -
Persona
- pytorch
- -
- hub
- -
Runtime
- pytorch
- -
- hub
- -
License
- pytorch
- Other
- hub
- Apache-2.0
Last pushed
- pytorch
- Jul 11, 2026
- hub
- Jan 17, 2025
Categories
- pytorch
- Data & Retrieval, Model Training, Computer Vision
- hub
- Vector Databases, Model Training, Computer Vision
Trust and health
Maintenance
- pytorch
- Very active (96%)
- hub
- Dormant (18%)
Days since push
- pytorch
- 0d
- hub
- 539d
Open issues (now)
- pytorch
- 18k
- hub
- 14
Security scan
- pytorch
- No criticals
- hub
- No lockfile
Full report
- pytorch
- Trust report
- hub
- Trust report
Choose pytorch if…
- License: pytorch is Other, hub is Apache-2.0.
- Tags unique to pytorch: autograd, deep-learning, gpu, neural-network.
- Also covers Data & Retrieval.
- pytorch ships Docker support for self-hosted deployment.
When NOT to use pytorch
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose hub if…
- License: hub is Apache-2.0, pytorch is Other.
- Tags unique to hub: ml, embeddings, image-classification, transfer-learning.
- Also covers Vector Databases.
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 (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 (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 102k · hub 3.5k (synced Jul 11, 2026).
Common questions
- What is the difference between pytorch and hub?
- pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. 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 over hub?
- Choose pytorch over hub when License: pytorch is Other, hub is Apache-2.0; Tags unique to pytorch: autograd, deep-learning, gpu, neural-network; Also covers Data & Retrieval; pytorch ships Docker support for self-hosted deployment.
- When should I choose hub over pytorch?
- Choose hub over pytorch when License: hub is Apache-2.0, pytorch is Other; Tags unique to hub: ml, embeddings, image-classification, transfer-learning; Also covers Vector Databases.
- When should I avoid pytorch?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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 or hub more popular on GitHub?
- pytorch has more GitHub stars (101,752 vs 3,521). Stars measure visibility, not whether either tool fits your constraints.
- Are pytorch and hub open source?
- Yes - both are open-source projects on GitHub (pytorch: Other, hub: Apache-2.0).
- Where can I find alternatives to pytorch or hub?
- GraphCanon lists graph-backed alternatives at pytorch alternatives and hub alternatives (pytorch 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 or hub?
- pytorch: 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 and hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pytorch trust report; hub trust report.