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Comparison

caffe vs hold

Verdict

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

Markdown twin · caffe alternatives · hold alternatives

GraphCanon updated today

caffe logo

caffe

BVLC/caffe

★ 35kpushed Jul 31, 2024
vs
hold logo

hold

zc-alexfan/hold

★ 486pushed Mar 10, 2026

Trust & integrity

Signalcaffehold
Maintenance
Dormant (710d since push)
As of today · github_public_v1
Slowing (122d 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
9 low (9 low)
As of today · osv@v1
caffe trust reporthold trust reportTrust methodology

Tagline

caffe
Caffe: a fast open framework for deep learning.
hold
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D

Stars

caffe
35k
hold
486

Forks

caffe
18k
hold
15

Open issues

caffe
1.2k
hold
9

Language

caffe
C++
hold
Python

Adopt for

caffe
-
hold
-

Persona

caffe
-
hold
-

Runtime

caffe
-
hold
-

License

caffe
Other
hold
MIT

Last pushed

caffe
Jul 31, 2024
hold
Mar 10, 2026

Categories

caffe
Vector Databases, Computer Vision
hold
Model Training, Vector Databases, Computer Vision

Trust and health

Maintenance

caffe
Dormant (18%)
hold
Slowing (36%)

Days since push

caffe
710d
hold
122d

Open issues (now)

caffe
1.2k
hold
9

Owner type

caffe
Organization
hold
User

Security scan

caffe
No lockfile
hold
9 low (9 low)

Full report

caffe
Trust report
hold
Trust report

Choose caffe if…

  • caffe is primarily C++; hold is Python.
  • License: caffe is Other, hold is MIT.
  • Tags unique to caffe: deep-learning, vision, machine-learning, c++.

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 hold if…

  • hold is primarily Python; caffe is C++.
  • License: hold is MIT, caffe is Other.
  • Tags unique to hold: 3d-reconstruction, hand-object-reconstruction, ai, artificial-intelligence.
  • Also covers Model Training.

When NOT to use hold

  • Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold.
  • 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.
GitHubDetails

Explore

caffe trust report →hold trust report →Vector Databases category →Computer Vision category →Model Training 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 · hold 486 (synced Jul 11, 2026).

Common questions

What is the difference between caffe and hold?
caffe: Caffe: a fast open framework for deep learning.. hold: [CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D. See the comparison table for live GitHub stats and shared categories.
When should I choose caffe over hold?
Choose caffe over hold when caffe is primarily C++; hold is Python; License: caffe is Other, hold is MIT; Tags unique to caffe: deep-learning, vision, machine-learning, c++.
When should I choose hold over caffe?
Choose hold over caffe when hold is primarily Python; caffe is C++; License: hold is MIT, caffe is Other; Tags unique to hold: 3d-reconstruction, hand-object-reconstruction, ai, artificial-intelligence; Also covers Model Training.
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 hold?
Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold. 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.
Is caffe or hold more popular on GitHub?
caffe has more GitHub stars (34,574 vs 486). Stars measure visibility, not whether either tool fits your constraints.
Are caffe and hold open source?
Yes - both are open-source projects on GitHub (caffe: Other, hold: MIT).
Where can I find alternatives to caffe or hold?
GraphCanon lists graph-backed alternatives at caffe alternatives and hold alternatives (caffe markdown twin, hold 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 hold?
caffe: Dormant. hold: 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 hold?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; hold trust report.