Comparison
caffe vs weaviate
Verdict
Pick caffe when caffe is primarily C++; weaviate is Go; pick weaviate when weaviate is primarily Go; caffe is C++.
Markdown twin · caffe alternatives · weaviate alternatives
GraphCanon updated today
Trust & integrity
| Signal | caffe | weaviate |
|---|---|---|
| Maintenance | Dormant (710d since push) As of today · github_public_v1 | Very active (0d 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 | 12 low (12 low) As of today · osv@v1 |
Tagline
- caffe
- Caffe: a fast open framework for deep learning.
- weaviate
- Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c
Stars
- caffe
- 35k
- weaviate
- 17k
Forks
- caffe
- 18k
- weaviate
- 1.3k
Open issues
- caffe
- 1.2k
- weaviate
- 596
Language
- caffe
- C++
- weaviate
- Go
Adopt for
- caffe
- -
- weaviate
- Weaviate is an open-source vector database that supports both object and vector storage with robust deployment options, making it suitable for applications requiring seamless integration of approximate nearest neighbor (
Persona
- caffe
- -
- weaviate
- -
Runtime
- caffe
- -
- weaviate
- -
License
- caffe
- Other
- weaviate
- BSD-3-Clause
Last pushed
- caffe
- Jul 31, 2024
- weaviate
- Jul 11, 2026
Categories
- caffe
- Vector Databases, Computer Vision
- weaviate
- Vector Databases, Inference & Serving, Computer Vision
Trust and health
Maintenance
- caffe
- Dormant (18%)
- weaviate
- Very active (96%)
Days since push
- caffe
- 710d
- weaviate
- 0d
Open issues (now)
- caffe
- 1.2k
- weaviate
- 596
Security scan
- caffe
- No lockfile
- weaviate
- 12 low (12 low)
Full report
- caffe
- Trust report
- weaviate
- Trust report
Choose caffe if…
- caffe is primarily C++; weaviate is Go.
- License: caffe is Other, weaviate is BSD-3-Clause.
- 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.
Choose weaviate if…
- weaviate is primarily Go; caffe is C++.
- License: weaviate is BSD-3-Clause, caffe is Other.
- Requirements: Requires Docker; Support for Kubernetes, AWS Marketplace, GCP Marketplace; Availability of Python client.
- Tags unique to weaviate: grpc, information-retrieval, mlops, approximate-nearest-neighbor-search.
- Also covers Inference & Serving.
- weaviate ships Docker support for self-hosted deployment.
- * When you need to integrate vector search capabilities with structured data filtering within a single system.
When NOT to use weaviate
- * Avoid using when low-level customization of the underlying vector indexing mechanisms is required beyond what current configuration options offer.
- * Not recommended if your application does not benefit from cloud-native fault tolerance and scalability features.
- * If real-time data import with automatic vector generation through lightweight models is non-essential for your workflow.
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 (weaviate/weaviate) · observed Jul 11, 2026
- GitHub forks (weaviate/weaviate) · observed Jul 11, 2026
- Last push (weaviate/weaviate) · observed Jul 11, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · weaviate 17k (synced Jul 11, 2026).
Common questions
- What is the difference between caffe and weaviate?
- caffe: Caffe: a fast open framework for deep learning.. weaviate: Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c. See the comparison table for live GitHub stats and shared categories.
- When should I choose caffe over weaviate?
- Choose caffe over weaviate when caffe is primarily C++; weaviate is Go; License: caffe is Other, weaviate is BSD-3-Clause; Tags unique to caffe: deep-learning, vision, machine-learning, c++.
- When should I choose weaviate over caffe?
- Choose weaviate over caffe when weaviate is primarily Go; caffe is C++; License: weaviate is BSD-3-Clause, caffe is Other; Requirements: Requires Docker; Support for Kubernetes, AWS Marketplace, GCP Marketplace; Availability of Python client; Tags unique to weaviate: grpc, information-retrieval, mlops, approximate-nearest-neighbor-search; Also covers Inference & Serving; weaviate ships Docker support for self-hosted deployment; * When you need to integrate vector search capabilities with structured data filtering within a single system.
- 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 weaviate?
- * Avoid using when low-level customization of the underlying vector indexing mechanisms is required beyond what current configuration options offer. * Not recommended if your application does not benefit from cloud-native fault tolerance and scalability features. * If real-time data import with automatic vector generation through lightweight models is non-essential for your workflow.
- Is caffe or weaviate more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 16,572). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and weaviate open source?
- Yes - both are open-source projects on GitHub (caffe: Other, weaviate: BSD-3-Clause).
- Where can I find alternatives to caffe or weaviate?
- GraphCanon lists graph-backed alternatives at caffe alternatives and weaviate alternatives (caffe markdown twin, weaviate 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 weaviate?
- caffe: Dormant. weaviate: Very active. 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 weaviate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; weaviate trust report.