Comparison
caffe vs search
Verdict
Pick caffe when caffe is primarily C++; search is Go; pick search when search is primarily Go; caffe is C++.
Markdown twin · caffe alternatives · search alternatives
GraphCanon updated today
Trust & integrity
| Signal | caffe | search |
|---|---|---|
| Maintenance | Dormant (710d since push) As of today · github_public_v1 | Slowing (126d 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 | No lockfile As of today · none |
Tagline
- caffe
- Caffe: a fast open framework for deep learning.
- search
- Go library for embedded vector search and semantic embeddings using llama.cpp
Stars
- caffe
- 35k
- search
- 554
Forks
- caffe
- 18k
- search
- 24
Open issues
- caffe
- 1.2k
- search
- 5
Language
- caffe
- C++
- search
- Go
Adopt for
- caffe
- -
- search
- -
Persona
- caffe
- -
- search
- -
Runtime
- caffe
- -
- search
- -
License
- caffe
- Other
- search
- MIT
Last pushed
- caffe
- Jul 31, 2024
- search
- Mar 6, 2026
Categories
- caffe
- Computer Vision, Vector Databases
- search
- Inference & Serving, Vector Databases
Trust and health
Maintenance
- caffe
- Dormant (18%)
- search
- Slowing (36%)
Days since push
- caffe
- 710d
- search
- 126d
Open issues (now)
- caffe
- 1.2k
- search
- 5
Owner type
- caffe
- Organization
- search
- User
Full report
- caffe
- Trust report
- search
- Trust report
Choose caffe if…
- caffe is primarily C++; search is Go.
- License: caffe is Other, search is MIT.
- Tags unique to caffe: c++, deep-learning, machine-learning, vision.
- 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 search if…
- search is primarily Go; caffe is C++.
- License: search is MIT, caffe is Other.
- Tags unique to search: ai, bert, embeddings, gguf.
- Also covers Inference & Serving.
When NOT to use search
- Last GitHub push was 127 days ago (slowing maintenance, Mar 6, 2026). Validate activity before betting a new project on search.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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 (kelindar/search) · observed Jul 11, 2026
- GitHub forks (kelindar/search) · observed Jul 11, 2026
- Last push (kelindar/search) · observed Mar 6, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · search 554 (synced Jul 11, 2026).
Common questions
- What is the difference between caffe and search?
- caffe: Caffe: a fast open framework for deep learning.. search: Go library for embedded vector search and semantic embeddings using llama.cpp. See the comparison table for live GitHub stats and shared categories.
- When should I choose caffe over search?
- Choose caffe over search when caffe is primarily C++; search is Go; License: caffe is Other, search is MIT; Tags unique to caffe: c++, deep-learning, machine-learning, vision; Also covers Computer Vision.
- When should I choose search over caffe?
- Choose search over caffe when search is primarily Go; caffe is C++; License: search is MIT, caffe is Other; Tags unique to search: ai, bert, embeddings, gguf; Also covers Inference & Serving.
- 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 search?
- Last GitHub push was 127 days ago (slowing maintenance, Mar 6, 2026). Validate activity before betting a new project on search. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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 search more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 554). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and search open source?
- Yes - both are open-source projects on GitHub (caffe: Other, search: MIT).
- Where can I find alternatives to caffe or search?
- GraphCanon lists graph-backed alternatives at caffe alternatives and search alternatives (caffe markdown twin, search 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 search?
- caffe: Dormant. search: Slowing. 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 search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; search trust report.