--- title: "caffe vs wikipedia2vec" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-wikipedia2vec-wikipedia2vec" tools: ["bvlc-caffe", "wikipedia2vec-wikipedia2vec"] --- # caffe vs wikipedia2vec *GraphCanon updated Jul 11, 2026* ## Verdict Pick caffe when caffe is primarily C++; wikipedia2vec is Python; pick wikipedia2vec when wikipedia2vec is primarily Python; caffe is C++. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [wikipedia2vec](http://wikipedia2vec.github.io/) has 966 stars, 100 forks, and 8 open issues, last pushed May 3, 2024. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [wikipedia2vec's repository](https://github.com/wikipedia2vec/wikipedia2vec). | | [caffe](/tools/bvlc-caffe.md) | [wikipedia2vec](/tools/wikipedia2vec-wikipedia2vec.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | A tool for learning vector representations of words and entities from Wikipedia | | Stars | 34,574 | 966 | | Forks | 18,458 | 100 | | Open issues | 1,209 | 8 | | Language | C++ | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Vector Databases, Computer Vision | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [wikipedia2vec](/tools/wikipedia2vec-wikipedia2vec.md) | | --- | --- | --- | | Days since push | 710d | 798d | | Open issues (now) | 1.2k | 8 | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/wikipedia2vec-wikipedia2vec/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; wikipedia2vec is Python. - Tags unique to caffe: deep-learning, vision, machine-learning, c++. - Also covers Computer Vision. ### Choose wikipedia2vec if… - wikipedia2vec is primarily Python; caffe is C++. - Tags unique to wikipedia2vec: text-classification, embeddings, wikipedia, nlp. - Leaner open-issue backlog (8). ## 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 wikipedia2vec - Last GitHub push was 799 days ago (dormant maintenance, May 3, 2024). Validate activity before betting a new project on wikipedia2vec. - 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 wikipedia2vec? caffe: Caffe: a fast open framework for deep learning.. wikipedia2vec: A tool for learning vector representations of words and entities from Wikipedia. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over wikipedia2vec? Choose caffe over wikipedia2vec when caffe is primarily C++; wikipedia2vec is Python; Tags unique to caffe: deep-learning, vision, machine-learning, c++; Also covers Computer Vision. ### When should I choose wikipedia2vec over caffe? Choose wikipedia2vec over caffe when wikipedia2vec is primarily Python; caffe is C++; Tags unique to wikipedia2vec: text-classification, embeddings, wikipedia, nlp; Leaner open-issue backlog (8). ### 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 wikipedia2vec? Last GitHub push was 799 days ago (dormant maintenance, May 3, 2024). Validate activity before betting a new project on wikipedia2vec. 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 wikipedia2vec more popular on GitHub? caffe has more GitHub stars (34,574 vs 966). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and wikipedia2vec open source? Yes - both are open-source projects on GitHub (caffe: Other, wikipedia2vec: Other). ### Where can I find alternatives to caffe or wikipedia2vec? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [wikipedia2vec alternatives](/tools/wikipedia2vec-wikipedia2vec/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [wikipedia2vec markdown twin](/tools/wikipedia2vec-wikipedia2vec/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-wikipedia2vec-wikipedia2vec.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or wikipedia2vec? caffe: Dormant. wikipedia2vec: 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 wikipedia2vec? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [wikipedia2vec trust report](/tools/wikipedia2vec-wikipedia2vec/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/_