GraphCanon
Home/Compare/caffe vs apps

Comparison

caffe vs apps

Verdict

Pick caffe when caffe is primarily C++; apps is Python; pick apps when apps is primarily Python; caffe is C++.

Markdown twin · caffe alternatives · apps alternatives

GraphCanon updated today

caffe logo

caffe

BVLC/caffe

★ 35kpushed Jul 31, 2024
vs
apps logo

apps

hendrycks/apps

★ 536pushed Jun 19, 2024

Trust & integrity

Signalcaffeapps
Maintenance
Dormant (710d since push)
As of today · github_public_v1
Dormant (752d 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
77 low (77 low)
As of today · osv@v1
caffe trust reportapps trust reportTrust methodology

Tagline

caffe
Caffe: a fast open framework for deep learning.
apps
APPS: Automated Programming Progress Standard (NeurIPS 2021)

Stars

caffe
35k
apps
536

Forks

caffe
18k
apps
70

Open issues

caffe
1.2k
apps
4

Language

caffe
C++
apps
Python

Adopt for

caffe
-
apps
-

Persona

caffe
-
apps
-

Runtime

caffe
-
apps
-

License

caffe
Other
apps
MIT

Last pushed

caffe
Jul 31, 2024
apps
Jun 19, 2024

Categories

caffe
Vector Databases, Computer Vision
apps
Model Training, Vector Databases, Evaluation & Observability

Trust and health

Days since push

caffe
710d
apps
752d

Open issues (now)

caffe
1.2k
apps
4

Owner type

caffe
Organization
apps
User

Security scan

caffe
No lockfile
apps
77 low (77 low)

Full report

caffe
Trust report
apps
Trust report

Choose caffe if…

  • caffe is primarily C++; apps is Python.
  • License: caffe is Other, apps 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.
GitHubDetails

Choose apps if…

  • apps is primarily Python; caffe is C++.
  • License: apps is MIT, caffe is Other.
  • Tags unique to apps: program-synthesis, python, code-generation.
  • Also covers Model Training, Evaluation & Observability.

When NOT to use apps

  • Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps.
  • 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.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
GitHubDetails

Explore

caffe trust report →apps trust report →Vector Databases category →Computer Vision category →Model Training category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

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 · apps 536 (synced Jul 11, 2026).

Common questions

What is the difference between caffe and apps?
caffe: Caffe: a fast open framework for deep learning.. apps: APPS: Automated Programming Progress Standard (NeurIPS 2021). See the comparison table for live GitHub stats and shared categories.
When should I choose caffe over apps?
Choose caffe over apps when caffe is primarily C++; apps is Python; License: caffe is Other, apps is MIT; Tags unique to caffe: deep-learning, vision, machine-learning, c++; Also covers Computer Vision.
When should I choose apps over caffe?
Choose apps over caffe when apps is primarily Python; caffe is C++; License: apps is MIT, caffe is Other; Tags unique to apps: program-synthesis, python, code-generation; Also covers Model Training, Evaluation & Observability.
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 apps?
Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps. 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. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is caffe or apps more popular on GitHub?
caffe has more GitHub stars (34,574 vs 536). Stars measure visibility, not whether either tool fits your constraints.
Are caffe and apps open source?
Yes - both are open-source projects on GitHub (caffe: Other, apps: MIT).
Where can I find alternatives to caffe or apps?
GraphCanon lists graph-backed alternatives at caffe alternatives and apps alternatives (caffe markdown twin, apps 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 apps?
caffe: Dormant. apps: 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 caffe and apps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; apps trust report.