Home/Compare/ai-serving vs caffe

Comparison

ai-serving vs caffe

Verdict

Pick ai-serving when ai-serving is primarily Scala; caffe is C++; pick caffe when caffe is primarily C++; ai-serving is Scala.

Markdown twin · ai-serving alternatives · caffe alternatives

GraphCanon updated today

ai-serving logo

ai-serving

autodeployai/ai-serving

166pushed Feb 24, 2026
vs
caffe logo

caffe

BVLC/caffe

35kpushed Jul 31, 2024

Trust & integrity

Signalai-servingcaffe
Maintenance
Slowing (141d since push)
As of today · github_public_v1
Dormant (710d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 3d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

ai-serving
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
caffe
Caffe: a fast open framework for deep learning.

Stars

ai-serving
166
caffe
35k

Forks

ai-serving
31
caffe
18k

Open issues

ai-serving
3
caffe
1.2k

Language

ai-serving
Scala
caffe
C++

Adopt for

ai-serving
-
caffe
-

Persona

ai-serving
-
caffe
-

Runtime

ai-serving
-
caffe
-

License

ai-serving
Apache-2.0
caffe
Other

Last pushed

ai-serving
Feb 24, 2026
caffe
Jul 31, 2024

Categories

ai-serving
Computer Vision, Inference & Serving
caffe
Computer Vision, Vector Databases

Trust and health

Maintenance

ai-serving
Slowing (36%)
caffe
Dormant (18%)

Days since push

ai-serving
141d
caffe
710d

Open issues (now)

ai-serving
3
caffe
1.2k

Full report

ai-serving
Trust report

Choose ai-serving if…

  • ai-serving is primarily Scala; caffe is C++.
  • License: ai-serving is Apache-2.0, caffe is Other.
  • Tags unique to ai-serving: ai-serving, inference, inference-server, onnx.
  • Also covers Inference & Serving.

When NOT to use ai-serving

  • Last GitHub push was 141 days ago (slowing maintenance, Feb 24, 2026). Validate activity before betting a new project on ai-serving.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose caffe if…

  • caffe is primarily C++; ai-serving is Scala.
  • License: caffe is Other, ai-serving is Apache-2.0.
  • Tags unique to caffe: c#, deep-learning, machine-learning, vision.
  • Also covers Vector Databases.

When NOT to use caffe

  • Last GitHub push was 713 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ai-serving 166 · caffe 35k (synced Jul 15, 2026).

Common questions

What is the difference between ai-serving and caffe?
ai-serving: Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints. caffe: Caffe: a fast open framework for deep learning.. See the comparison table for live GitHub stats and shared categories.
When should I choose ai-serving over caffe?
Choose ai-serving over caffe when ai-serving is primarily Scala; caffe is C++; License: ai-serving is Apache-2.0, caffe is Other; Tags unique to ai-serving: ai-serving, inference, inference-server, onnx; Also covers Inference & Serving.
When should I choose caffe over ai-serving?
Choose caffe over ai-serving when caffe is primarily C++; ai-serving is Scala; License: caffe is Other, ai-serving is Apache-2.0; Tags unique to caffe: c#, deep-learning, machine-learning, vision; Also covers Vector Databases.
When should I avoid ai-serving?
Last GitHub push was 141 days ago (slowing maintenance, Feb 24, 2026). Validate activity before betting a new project on ai-serving. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid caffe?
Last GitHub push was 713 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.
Is ai-serving or caffe more popular on GitHub?
caffe has more GitHub stars (34,574 vs 166). Stars measure visibility, not whether either tool fits your constraints.
Are ai-serving and caffe open source?
Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, caffe: Other).
Where can I find alternatives to ai-serving or caffe?
GraphCanon lists graph-backed alternatives at ai-serving alternatives and caffe alternatives (ai-serving markdown twin, caffe 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, ai-serving or caffe?
ai-serving: Slowing. caffe: 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 ai-serving and caffe?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; caffe trust report.

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