Comparison
caffe vs hub
Verdict
Pick caffe when caffe is primarily C++; hub is Python; pick hub when hub is primarily Python; caffe is C++.
Markdown twin · caffe alternatives · hub alternatives
GraphCanon updated today
Trust & integrity
| Signal | caffe | hub |
|---|---|---|
| Maintenance | Dormant (710d 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 lockfile As of today · none | No lockfile As of today · none |
Tagline
- caffe
- Caffe: a fast open framework for deep learning.
- hub
- A library for transfer learning by reusing parts of TensorFlow models.
Stars
- caffe
- 35k
- hub
- 3.5k
Forks
- caffe
- 18k
- hub
- 1.6k
Open issues
- caffe
- 1.2k
- hub
- 14
Language
- caffe
- C++
- hub
- Python
Adopt for
- caffe
- -
- hub
- -
Persona
- caffe
- -
- hub
- -
Runtime
- caffe
- -
- hub
- -
License
- caffe
- Other
- hub
- Apache-2.0
Last pushed
- caffe
- Jul 31, 2024
- hub
- Jan 17, 2025
Categories
- caffe
- Vector Databases, Computer Vision
- hub
- Vector Databases, Model Training, Computer Vision
Trust and health
Days since push
- caffe
- 710d
- hub
- 539d
Open issues (now)
- caffe
- 1.2k
- hub
- 14
Full report
- caffe
- Trust report
- hub
- Trust report
Choose caffe if…
- caffe is primarily C++; hub is Python.
- License: caffe is Other, hub is Apache-2.0.
- Tags unique to caffe: deep-learning, vision, c.
When NOT to use caffe
- Last GitHub push was 710 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose hub if…
- hub is primarily Python; caffe is C++.
- License: hub is Apache-2.0, caffe is Other.
- Tags unique to hub: ml, embeddings, python, image-classification.
- Also covers Model Training.
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 (BVLC/caffe) · observed Jul 11, 2026
- GitHub forks (BVLC/caffe) · observed Jul 11, 2026
- Last push (BVLC/caffe) · observed Jul 31, 2024
- 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: caffe 35k · hub 3.5k (synced Jul 11, 2026).
Common questions
- What is the difference between caffe and hub?
- caffe: Caffe: a fast open framework for deep learning.. 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 caffe over hub?
- Choose caffe over hub when caffe is primarily C++; hub is Python; License: caffe is Other, hub is Apache-2.0; Tags unique to caffe: deep-learning, vision, c.
- When should I choose hub over caffe?
- Choose hub over caffe when hub is primarily Python; caffe is C++; License: hub is Apache-2.0, caffe is Other; Tags unique to hub: ml, embeddings, python, image-classification; Also covers Model Training.
- When should I avoid caffe?
- Last GitHub push was 710 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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 caffe or hub more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 3,521). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and hub open source?
- Yes - both are open-source projects on GitHub (caffe: Other, hub: Apache-2.0).
- Where can I find alternatives to caffe or hub?
- GraphCanon lists graph-backed alternatives at caffe alternatives and hub alternatives (caffe 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, caffe or hub?
- caffe: Dormant. 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 caffe and hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; hub trust report.