Comparison
caffe vs awesome-automl-papers
Verdict
Pick caffe when license: caffe is Other, awesome-automl-papers is Apache-2.0; pick awesome-automl-papers when license: awesome-automl-papers is Apache-2.0, caffe is Other.
Markdown twin · caffe alternatives · awesome-automl-papers alternatives
GraphCanon updated today
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Trust & integrity
| Signal | caffe | awesome-automl-papers |
|---|---|---|
| Maintenance | Dormant (710d since push) As of today · github_public_v1 | Dormant (760d 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.
- awesome-automl-papers
- A curated list of automated machine learning papers, articles, tutorials, slides and projects
Stars
- caffe
- 35k
- awesome-automl-papers
- 4.2k
Forks
- caffe
- 18k
- awesome-automl-papers
- 680
Open issues
- caffe
- 1.2k
- awesome-automl-papers
- 2
Language
- caffe
- C++
- awesome-automl-papers
- -
Adopt for
- caffe
- -
- awesome-automl-papers
- -
Persona
- caffe
- -
- awesome-automl-papers
- -
Runtime
- caffe
- -
- awesome-automl-papers
- -
License
- caffe
- Other
- awesome-automl-papers
- Apache-2.0
Last pushed
- caffe
- Jul 31, 2024
- awesome-automl-papers
- Jun 11, 2024
Categories
- caffe
- Computer Vision, Vector Databases
- awesome-automl-papers
- Computer Vision, Vector Databases
Trust and health
Days since push
- caffe
- 710d
- awesome-automl-papers
- 760d
Open issues (now)
- caffe
- 1.2k
- awesome-automl-papers
- 2
Owner type
- caffe
- Organization
- awesome-automl-papers
- User
Full report
- caffe
- Trust report
- awesome-automl-papers
- Trust report
Choose caffe if…
- License: caffe is Other, awesome-automl-papers is Apache-2.0.
- Tags unique to caffe: c++, deep-learning, machine-learning, vision.
- More GitHub stars (35k vs 4.2k) - visibility, not fit.
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-automl-papers if…
- License: awesome-automl-papers is Apache-2.0, caffe is Other.
- Tags unique to awesome-automl-papers: automated-feature-engineering, automl, hyperparameter-optimization, neural-architecture-search.
- Leaner open-issue backlog (2).
When NOT to use awesome-automl-papers
- Last GitHub push was 760 days ago (dormant maintenance, Jun 11, 2024). Validate activity before betting a new project on awesome-automl-papers.
- 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 (hibayesian/awesome-automl-papers) · observed Jul 11, 2026
- GitHub forks (hibayesian/awesome-automl-papers) · observed Jul 11, 2026
- Last push (hibayesian/awesome-automl-papers) · observed Jun 11, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · awesome-automl-papers 4.2k (synced Jul 11, 2026).
Common questions
- What is the difference between caffe and awesome-automl-papers?
- caffe: Caffe: a fast open framework for deep learning.. awesome-automl-papers: A curated list of automated machine learning papers, articles, tutorials, slides and projects. See the comparison table for live GitHub stats and shared categories.
- When should I choose caffe over awesome-automl-papers?
- Choose caffe over awesome-automl-papers when License: caffe is Other, awesome-automl-papers is Apache-2.0; Tags unique to caffe: c++, deep-learning, machine-learning, vision; More GitHub stars (35k vs 4.2k) - visibility, not fit.
- When should I choose awesome-automl-papers over caffe?
- Choose awesome-automl-papers over caffe when License: awesome-automl-papers is Apache-2.0, caffe is Other; Tags unique to awesome-automl-papers: automated-feature-engineering, automl, hyperparameter-optimization, neural-architecture-search; Leaner open-issue backlog (2).
- 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-automl-papers?
- Last GitHub push was 760 days ago (dormant maintenance, Jun 11, 2024). Validate activity before betting a new project on awesome-automl-papers. 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-automl-papers more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 4,152). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and awesome-automl-papers open source?
- Yes - both are open-source projects on GitHub (caffe: Other, awesome-automl-papers: Apache-2.0).
- Where can I find alternatives to caffe or awesome-automl-papers?
- GraphCanon lists graph-backed alternatives at caffe alternatives and awesome-automl-papers alternatives (caffe markdown twin, awesome-automl-papers 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-automl-papers?
- caffe: Dormant. awesome-automl-papers: 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 awesome-automl-papers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; awesome-automl-papers trust report.