--- title: "caffe vs awesome-vector-database" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-dangkhoasdc-awesome-vector-database" tools: ["bvlc-caffe", "dangkhoasdc-awesome-vector-database"] --- # caffe vs awesome-vector-database *GraphCanon updated Jul 11, 2026* ## Verdict Pick caffe when license: caffe is Other, awesome-vector-database is CC0-1.0; pick awesome-vector-database when license: awesome-vector-database is CC0-1.0, caffe is Other. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [awesome-vector-database](https://github.com/dangkhoasdc/awesome-vector-database) has 355 stars, 24 forks, and 4 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [awesome-vector-database's repository](https://github.com/dangkhoasdc/awesome-vector-database). | | [caffe](/tools/bvlc-caffe.md) | [awesome-vector-database](/tools/dangkhoasdc-awesome-vector-database.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | A curated list of awesome works related to high dimensional structure/vector search & database | | Stars | 34,574 | 355 | | Forks | 18,458 | 24 | | Open issues | 1,209 | 4 | | Language | C++ | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | CC0-1.0 | | Categories | Computer Vision, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [awesome-vector-database](/tools/dangkhoasdc-awesome-vector-database.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 710d | 15d | | Open issues (now) | 1.2k | 4 | | Owner type | Organization | User | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/dangkhoasdc-awesome-vector-database/trust.md) | ## Choose when ### Choose caffe if… - License: caffe is Other, awesome-vector-database is CC0-1.0. - Tags unique to caffe: c++, deep-learning, machine-learning, vision. - Also covers Computer Vision. ### Choose awesome-vector-database if… - License: awesome-vector-database is CC0-1.0, caffe is Other. - Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search. - More recently updated (last pushed Jun 25, 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 awesome-vector-database - 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 awesome-vector-database? caffe: Caffe: a fast open framework for deep learning.. awesome-vector-database: A curated list of awesome works related to high dimensional structure/vector search & database. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over awesome-vector-database? Choose caffe over awesome-vector-database when License: caffe is Other, awesome-vector-database is CC0-1.0; Tags unique to caffe: c++, deep-learning, machine-learning, vision; Also covers Computer Vision. ### When should I choose awesome-vector-database over caffe? Choose awesome-vector-database over caffe when License: awesome-vector-database is CC0-1.0, caffe is Other; Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search; More recently updated (last pushed Jun 25, 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 awesome-vector-database? 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-vector-database more popular on GitHub? caffe has more GitHub stars (34,574 vs 355). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and awesome-vector-database open source? Yes - both are open-source projects on GitHub (caffe: Other, awesome-vector-database: CC0-1.0). ### Where can I find alternatives to caffe or awesome-vector-database? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [awesome-vector-database alternatives](/tools/dangkhoasdc-awesome-vector-database/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [awesome-vector-database markdown twin](/tools/dangkhoasdc-awesome-vector-database/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-dangkhoasdc-awesome-vector-database.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or awesome-vector-database? caffe: Dormant. awesome-vector-database: 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 awesome-vector-database? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [awesome-vector-database trust report](/tools/dangkhoasdc-awesome-vector-database/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/_