Comparison
caffe vs Hypernets
Verdict
Pick caffe when caffe is primarily C++; Hypernets is Python; pick Hypernets when hypernets is primarily Python; caffe is C++.
Markdown twin · caffe alternatives · Hypernets alternatives
GraphCanon updated today
Trust & integrity
| Signal | caffe | Hypernets |
|---|---|---|
| Maintenance | Dormant (710d since push) As of today · github_public_v1 | Steady (82d 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 | 14 low (14 low) As of today · osv@v1 |
Tagline
- caffe
- Caffe: a fast open framework for deep learning.
- Hypernets
- A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Stars
- caffe
- 35k
- Hypernets
- 264
Forks
- caffe
- 18k
- Hypernets
- 39
Open issues
- caffe
- 1.2k
- Hypernets
- 0
Language
- caffe
- C++
- Hypernets
- Python
Adopt for
- caffe
- -
- Hypernets
- -
Persona
- caffe
- -
- Hypernets
- -
Runtime
- caffe
- -
- Hypernets
- -
License
- caffe
- Other
- Hypernets
- Apache-2.0
Last pushed
- caffe
- Jul 31, 2024
- Hypernets
- Apr 20, 2026
Categories
- caffe
- Vector Databases, Computer Vision
- Hypernets
- Model Training, Vector Databases, Computer Vision
Trust and health
Maintenance
- caffe
- Dormant (18%)
- Hypernets
- Steady (60%)
Days since push
- caffe
- 710d
- Hypernets
- 82d
Open issues (now)
- caffe
- 1.2k
- Hypernets
- 0
Security scan
- caffe
- No lockfile
- Hypernets
- 14 low (14 low)
Full report
- caffe
- Trust report
- Hypernets
- Trust report
Choose caffe if…
- caffe is primarily C++; Hypernets is Python.
- License: caffe is Other, Hypernets is Apache-2.0.
- Tags unique to caffe: deep-learning, vision, machine-learning, 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 Hypernets if…
- Hypernets is primarily Python; caffe is C++.
- License: Hypernets is Apache-2.0, caffe is Other.
- Tags unique to Hypernets: automl, evolutionary-algorithms, enas, mcts.
- Also covers Model Training.
When NOT to use Hypernets
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 (DataCanvasIO/Hypernets) · observed Jul 11, 2026
- GitHub forks (DataCanvasIO/Hypernets) · observed Jul 11, 2026
- Last push (DataCanvasIO/Hypernets) · observed Apr 20, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · Hypernets 264 (synced Jul 11, 2026).
Common questions
- What is the difference between caffe and Hypernets?
- caffe: Caffe: a fast open framework for deep learning.. Hypernets: A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.. See the comparison table for live GitHub stats and shared categories.
- When should I choose caffe over Hypernets?
- Choose caffe over Hypernets when caffe is primarily C++; Hypernets is Python; License: caffe is Other, Hypernets is Apache-2.0; Tags unique to caffe: deep-learning, vision, machine-learning, c++.
- When should I choose Hypernets over caffe?
- Choose Hypernets over caffe when Hypernets is primarily Python; caffe is C++; License: Hypernets is Apache-2.0, caffe is Other; Tags unique to Hypernets: automl, evolutionary-algorithms, enas, mcts; 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 Hypernets?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is caffe or Hypernets more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and Hypernets open source?
- Yes - both are open-source projects on GitHub (caffe: Other, Hypernets: Apache-2.0).
- Where can I find alternatives to caffe or Hypernets?
- GraphCanon lists graph-backed alternatives at caffe alternatives and Hypernets alternatives (caffe markdown twin, Hypernets 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 Hypernets?
- caffe: Dormant. Hypernets: Steady. 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 Hypernets?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; Hypernets trust report.