--- title: "caffe vs what_are_embeddings" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-veekaybee-what-are-embeddings" tools: ["bvlc-caffe", "veekaybee-what-are-embeddings"] --- # caffe vs what_are_embeddings *GraphCanon updated Jul 12, 2026* ## Verdict Pick caffe when caffe is primarily C++; what_are_embeddings is Jupyter Notebook; pick what_are_embeddings when what_are_embeddings is primarily Jupyter Notebook; caffe is C++. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [what_are_embeddings](http://vickiboykis.com/what_are_embeddings/) has 1.1k stars, 87 forks, and 0 open issues, last pushed Jan 17, 2026. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [what_are_embeddings's repository](https://github.com/veekaybee/what_are_embeddings). | | [caffe](/tools/bvlc-caffe.md) | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | A deep dive into embeddings starting from fundamentals | | Stars | 34,574 | 1,091 | | Forks | 18,458 | 87 | | Open issues | 1,209 | 0 | | Language | C++ | Jupyter Notebook | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | - | | Categories | Computer Vision, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 710d | 175d | | Open issues (now) | 1.2k | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/veekaybee-what-are-embeddings/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; what_are_embeddings is Jupyter Notebook. - Tags unique to caffe: c++, deep-learning, vision. - Also covers Computer Vision. ### Choose what_are_embeddings if… - what_are_embeddings is primarily Jupyter Notebook; caffe is C++. - Tags unique to what_are_embeddings: embeddings, jupyter notebook, machine-learning-algorithms, nlp-machine-learning. - More recently updated (last pushed Jan 17, 2026). ## 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. ## When NOT to use what_are_embeddings - Last GitHub push was 176 days ago (slowing maintenance, Jan 17, 2026). Validate activity before betting a new project on what_are_embeddings. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between caffe and what_are_embeddings? caffe: Caffe: a fast open framework for deep learning.. what_are_embeddings: A deep dive into embeddings starting from fundamentals. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over what_are_embeddings? Choose caffe over what_are_embeddings when caffe is primarily C++; what_are_embeddings is Jupyter Notebook; Tags unique to caffe: c++, deep-learning, vision; Also covers Computer Vision. ### When should I choose what_are_embeddings over caffe? Choose what_are_embeddings over caffe when what_are_embeddings is primarily Jupyter Notebook; caffe is C++; Tags unique to what_are_embeddings: embeddings, jupyter notebook, machine-learning-algorithms, nlp-machine-learning; More recently updated (last pushed Jan 17, 2026). ### 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 what_are_embeddings? Last GitHub push was 176 days ago (slowing maintenance, Jan 17, 2026). Validate activity before betting a new project on what_are_embeddings. 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 what_are_embeddings more popular on GitHub? caffe has more GitHub stars (34,574 vs 1,091). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and what_are_embeddings open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to caffe or what_are_embeddings? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [what_are_embeddings alternatives](/tools/veekaybee-what-are-embeddings/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [what_are_embeddings markdown twin](/tools/veekaybee-what-are-embeddings/alternatives.md)), 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](/compare/bvlc-caffe-vs-veekaybee-what-are-embeddings.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or what_are_embeddings? caffe: Dormant. what_are_embeddings: 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 what_are_embeddings? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [what_are_embeddings trust report](/tools/veekaybee-what-are-embeddings/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bvlc-caffe`](/api/graphcanon/graph?tool=bvlc-caffe) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_