Comparison
caffe vs annyang
Verdict
Pick caffe when caffe is primarily C++; annyang is TypeScript; pick annyang when annyang is primarily TypeScript; caffe is C++.
Markdown twin · caffe alternatives · annyang alternatives
GraphCanon updated today
Trust & integrity
| Signal | caffe | annyang |
|---|---|---|
| Maintenance | Dormant (710d since push) As of today · github_public_v1 | Steady (30d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 2 low (2 low) As of today · osv@v1 |
Tagline
- caffe
- Caffe: a fast open framework for deep learning.
- annyang
- 💬 Speech recognition for your site
Stars
- caffe
- 35k
- annyang
- 6.8k
Forks
- caffe
- 18k
- annyang
- 1.0k
Open issues
- caffe
- 1.2k
- annyang
- 10
Language
- caffe
- C++
- annyang
- TypeScript
Adopt for
- caffe
- -
- annyang
- -
Persona
- caffe
- -
- annyang
- -
Runtime
- caffe
- -
- annyang
- -
License
- caffe
- Other
- annyang
- MIT
Last pushed
- caffe
- Jul 31, 2024
- annyang
- Jun 11, 2026
Categories
- caffe
- Vector Databases, Computer Vision
- annyang
- Vector Databases, Speech & Audio
Trust and health
Maintenance
- caffe
- Dormant (18%)
- annyang
- Steady (60%)
Days since push
- caffe
- 710d
- annyang
- 30d
Open issues (now)
- caffe
- 1.2k
- annyang
- 10
Owner type
- caffe
- Organization
- annyang
- User
Security scan
- caffe
- No lockfile
- annyang
- 2 low (2 low)
Full report
- caffe
- Trust report
- annyang
- Trust report
Choose caffe if…
- caffe is primarily C++; annyang is TypeScript.
- License: caffe is Other, annyang is MIT.
- Tags unique to caffe: deep-learning, vision, machine-learning, c++.
- Also covers Computer Vision.
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 annyang if…
- annyang is primarily TypeScript; caffe is C++.
- License: annyang is MIT, caffe is Other.
- Tags unique to annyang: speech, speech-to-text, voice, speech-recognition.
- Also covers Speech & Audio.
When NOT to use annyang
- 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 (TalAter/annyang) · observed Jul 11, 2026
- GitHub forks (TalAter/annyang) · observed Jul 11, 2026
- Last push (TalAter/annyang) · observed Jun 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · annyang 6.8k (synced Jul 11, 2026).
Common questions
- What is the difference between caffe and annyang?
- caffe: Caffe: a fast open framework for deep learning.. annyang: 💬 Speech recognition for your site. See the comparison table for live GitHub stats and shared categories.
- When should I choose caffe over annyang?
- Choose caffe over annyang when caffe is primarily C++; annyang is TypeScript; License: caffe is Other, annyang is MIT; Tags unique to caffe: deep-learning, vision, machine-learning, c++; Also covers Computer Vision.
- When should I choose annyang over caffe?
- Choose annyang over caffe when annyang is primarily TypeScript; caffe is C++; License: annyang is MIT, caffe is Other; Tags unique to annyang: speech, speech-to-text, voice, speech-recognition; Also covers Speech & Audio.
- 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 annyang?
- 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 annyang more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 6,819). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and annyang open source?
- Yes - both are open-source projects on GitHub (caffe: Other, annyang: MIT).
- Where can I find alternatives to caffe or annyang?
- GraphCanon lists graph-backed alternatives at caffe alternatives and annyang alternatives (caffe markdown twin, annyang 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 annyang?
- caffe: Dormant. annyang: 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 annyang?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; annyang trust report.