--- title: "caffe vs ml-surveys" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-eugeneyan-ml-surveys" tools: ["bvlc-caffe", "eugeneyan-ml-surveys"] --- # caffe vs ml-surveys *GraphCanon updated Jul 12, 2026* ## Verdict Pick caffe when license: caffe is Other, ml-surveys is MIT; pick ml-surveys when license: ml-surveys is MIT, caffe is Other. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [ml-surveys](https://github.com/eugeneyan/ml-surveys) has 2.9k stars, 291 forks, and 2 open issues, last pushed Mar 17, 2023. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [ml-surveys's repository](https://github.com/eugeneyan/ml-surveys). | | [caffe](/tools/bvlc-caffe.md) | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. | | Stars | 34,574 | 2,900 | | Forks | 18,458 | 291 | | Open issues | 1,209 | 2 | | Language | C++ | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Vector Databases, Computer Vision | Vector Databases, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | | --- | --- | --- | | Days since push | 710d | 1212d | | Open issues (now) | 1.2k | 2 | | Owner type | Organization | User | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/eugeneyan-ml-surveys/trust.md) | ## Choose when ### Choose caffe if… - License: caffe is Other, ml-surveys is MIT. - Tags unique to caffe: vision, c++. - More GitHub stars (35k vs 2.9k) - visibility, not fit. ### Choose ml-surveys if… - License: ml-surveys is MIT, caffe is Other. - Tags unique to ml-surveys: reinforcement-learning, embeddings, nlp, survey. - Leaner open-issue backlog (2). ## 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 ml-surveys - Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. - 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 ml-surveys? caffe: Caffe: a fast open framework for deep learning.. ml-surveys: 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over ml-surveys? Choose caffe over ml-surveys when License: caffe is Other, ml-surveys is MIT; Tags unique to caffe: vision, c++; More GitHub stars (35k vs 2.9k) - visibility, not fit. ### When should I choose ml-surveys over caffe? Choose ml-surveys over caffe when License: ml-surveys is MIT, caffe is Other; Tags unique to ml-surveys: reinforcement-learning, embeddings, nlp, survey; Leaner open-issue backlog (2). ### 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 ml-surveys? Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. 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 ml-surveys more popular on GitHub? caffe has more GitHub stars (34,574 vs 2,900). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and ml-surveys open source? Yes - both are open-source projects on GitHub (caffe: Other, ml-surveys: MIT). ### Where can I find alternatives to caffe or ml-surveys? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [ml-surveys alternatives](/tools/eugeneyan-ml-surveys/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [ml-surveys markdown twin](/tools/eugeneyan-ml-surveys/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-eugeneyan-ml-surveys.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or ml-surveys? caffe: Dormant. ml-surveys: 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 ml-surveys? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [ml-surveys trust report](/tools/eugeneyan-ml-surveys/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/_