Home/Compare/caffe vs awesome-vector-search

Comparison

caffe vs awesome-vector-search

Verdict

Pick caffe when license: caffe is Other, awesome-vector-search is MIT; pick awesome-vector-search when license: awesome-vector-search is MIT, caffe is Other.

Markdown twin · caffe alternatives · awesome-vector-search alternatives

GraphCanon updated today

caffe logo

caffe

BVLC/caffe

35kpushed Jul 31, 2024
vs
awesome-vector-search logo

awesome-vector-search

currentslab/awesome-vector-search

1.6kpushed Jul 6, 2026

Trust & integrity

Signalcaffeawesome-vector-search
Maintenance
Dormant (710d since push)
As of today · github_public_v1
Very active (5d 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.
awesome-vector-search
Collections of vector search related libraries, service and research papers

Stars

caffe
35k
awesome-vector-search
1.6k

Forks

caffe
18k
awesome-vector-search
120

Open issues

caffe
1.2k
awesome-vector-search
10

Language

caffe
C++
awesome-vector-search
-

Adopt for

caffe
-
awesome-vector-search
-

Persona

caffe
-
awesome-vector-search
-

Runtime

caffe
-
awesome-vector-search
-

License

caffe
Other
awesome-vector-search
MIT

Last pushed

caffe
Jul 31, 2024
awesome-vector-search
Jul 6, 2026

Categories

caffe
Vector Databases, Computer Vision
awesome-vector-search
Vector Databases

Trust and health

Maintenance

caffe
Dormant (18%)
awesome-vector-search
Very active (96%)

Days since push

caffe
710d
awesome-vector-search
5d

Open issues (now)

caffe
1.2k
awesome-vector-search
10

Full report

awesome-vector-search
Trust report

Choose caffe if…

  • License: caffe is Other, awesome-vector-search is MIT.
  • Tags unique to caffe: deep-learning, vision, 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 awesome-vector-search if…

  • License: awesome-vector-search is MIT, caffe is Other.
  • Tags unique to awesome-vector-search: awesome, similarity-search, knn-search, awesome-list.
  • More recently updated (last pushed Jul 6, 2026).

When NOT to use awesome-vector-search

  • 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 on cards: caffe 35k · awesome-vector-search 1.6k (synced Jul 11, 2026).

Common questions

What is the difference between caffe and awesome-vector-search?
caffe: Caffe: a fast open framework for deep learning.. awesome-vector-search: Collections of vector search related libraries, service and research papers. See the comparison table for live GitHub stats and shared categories.
When should I choose caffe over awesome-vector-search?
Choose caffe over awesome-vector-search when License: caffe is Other, awesome-vector-search is MIT; Tags unique to caffe: deep-learning, vision, c++; Also covers Computer Vision.
When should I choose awesome-vector-search over caffe?
Choose awesome-vector-search over caffe when License: awesome-vector-search is MIT, caffe is Other; Tags unique to awesome-vector-search: awesome, similarity-search, knn-search, awesome-list; More recently updated (last pushed Jul 6, 2026).
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 awesome-vector-search?
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 awesome-vector-search more popular on GitHub?
caffe has more GitHub stars (34,574 vs 1,572). Stars measure visibility, not whether either tool fits your constraints.
Are caffe and awesome-vector-search open source?
Yes - both are open-source projects on GitHub (caffe: Other, awesome-vector-search: MIT).
Where can I find alternatives to caffe or awesome-vector-search?
GraphCanon lists graph-backed alternatives at caffe alternatives and awesome-vector-search alternatives (caffe markdown twin, awesome-vector-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 awesome-vector-search?
caffe: Dormant. awesome-vector-search: Very active. 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 awesome-vector-search?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; awesome-vector-search trust report.