Comparison
caffe vs 3D-Mem
Verdict
Pick caffe when caffe is primarily C++; 3D-Mem is Python; pick 3D-Mem when 3D-Mem is primarily Python; caffe is C++.
Markdown twin · caffe alternatives · 3D-Mem alternatives
GraphCanon updated today
Trust & integrity
| Signal | caffe | 3D-Mem |
|---|---|---|
| Maintenance | Dormant (710d since push) As of today · github_public_v1 | Slowing (281d 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.
- 3D-Mem
- [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning"
Stars
- caffe
- 35k
- 3D-Mem
- 264
Forks
- caffe
- 18k
- 3D-Mem
- 17
Open issues
- caffe
- 1.2k
- 3D-Mem
- 3
Language
- caffe
- C++
- 3D-Mem
- Python
Adopt for
- caffe
- -
- 3D-Mem
- -
Persona
- caffe
- -
- 3D-Mem
- -
Runtime
- caffe
- -
- 3D-Mem
- -
License
- caffe
- Other
- 3D-Mem
- MIT
Last pushed
- caffe
- Jul 31, 2024
- 3D-Mem
- Oct 2, 2025
Categories
- caffe
- Computer Vision, Vector Databases
- 3D-Mem
- Computer Vision, Model Training, Vector Databases
Trust and health
Maintenance
- caffe
- Dormant (18%)
- 3D-Mem
- Slowing (36%)
Days since push
- caffe
- 710d
- 3D-Mem
- 281d
Open issues (now)
- caffe
- 1.2k
- 3D-Mem
- 3
Full report
- caffe
- Trust report
- 3D-Mem
- Trust report
Choose caffe if…
- caffe is primarily C++; 3D-Mem is Python.
- License: caffe is Other, 3D-Mem is MIT.
- Tags unique to caffe: c++, deep-learning, machine-learning, 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 3D-Mem if…
- 3D-Mem is primarily Python; caffe is C++.
- License: 3D-Mem is MIT, caffe is Other.
- Tags unique to 3D-Mem: ai, computer-vision, embodied-ai, python.
- Also covers Model Training.
When NOT to use 3D-Mem
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem.
- 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.
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 (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- GitHub forks (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- Last push (UMass-Embodied-AGI/3D-Mem) · observed Oct 2, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · 3D-Mem 264 (synced Jul 11, 2026).
Common questions
- What is the difference between caffe and 3D-Mem?
- caffe: Caffe: a fast open framework for deep learning.. 3D-Mem: [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning". See the comparison table for live GitHub stats and shared categories.
- When should I choose caffe over 3D-Mem?
- Choose caffe over 3D-Mem when caffe is primarily C++; 3D-Mem is Python; License: caffe is Other, 3D-Mem is MIT; Tags unique to caffe: c++, deep-learning, machine-learning, vision.
- When should I choose 3D-Mem over caffe?
- Choose 3D-Mem over caffe when 3D-Mem is primarily Python; caffe is C++; License: 3D-Mem is MIT, caffe is Other; Tags unique to 3D-Mem: ai, computer-vision, embodied-ai, python; 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 3D-Mem?
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem. 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 3D-Mem more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and 3D-Mem open source?
- Yes - both are open-source projects on GitHub (caffe: Other, 3D-Mem: MIT).
- Where can I find alternatives to caffe or 3D-Mem?
- GraphCanon lists graph-backed alternatives at caffe alternatives and 3D-Mem alternatives (caffe markdown twin, 3D-Mem 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 3D-Mem?
- caffe: Dormant. 3D-Mem: 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 3D-Mem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; 3D-Mem trust report.