--- title: "caffe vs meme-search" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-neonwatty-meme-search" tools: ["bvlc-caffe", "neonwatty-meme-search"] --- # caffe vs meme-search *GraphCanon updated Jul 11, 2026* ## Verdict Pick caffe when caffe is primarily C++; meme-search is Ruby; pick meme-search when meme-search is primarily Ruby; caffe is C++. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [meme-search](https://neonwatty.github.io/meme-search/) has 690 stars, 27 forks, and 3 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [meme-search's repository](https://github.com/neonwatty/meme-search). | | [caffe](/tools/bvlc-caffe.md) | [meme-search](/tools/neonwatty-meme-search.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker. | | Stars | 34,574 | 690 | | Forks | 18,458 | 27 | | Open issues | 1,209 | 3 | | Language | C++ | Ruby | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Computer Vision, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [meme-search](/tools/neonwatty-meme-search.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 710d | 3d | | Open issues (now) | 1.2k | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/neonwatty-meme-search/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; meme-search is Ruby. - License: caffe is Other, meme-search is Apache-2.0. - Tags unique to caffe: c++, deep-learning, vision. - Also covers Computer Vision. ### Choose meme-search if… - meme-search is primarily Ruby; caffe is C++. - License: meme-search is Apache-2.0, caffe is Other. - Tags unique to meme-search: ai, docker, homelab, meme. ## 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 meme-search - 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 meme-search? caffe: Caffe: a fast open framework for deep learning.. meme-search: The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over meme-search? Choose caffe over meme-search when caffe is primarily C++; meme-search is Ruby; License: caffe is Other, meme-search is Apache-2.0; Tags unique to caffe: c++, deep-learning, vision; Also covers Computer Vision. ### When should I choose meme-search over caffe? Choose meme-search over caffe when meme-search is primarily Ruby; caffe is C++; License: meme-search is Apache-2.0, caffe is Other; Tags unique to meme-search: ai, docker, homelab, meme. ### 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 meme-search? 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 meme-search more popular on GitHub? caffe has more GitHub stars (34,574 vs 690). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and meme-search open source? Yes - both are open-source projects on GitHub (caffe: Other, meme-search: Apache-2.0). ### Where can I find alternatives to caffe or meme-search? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [meme-search alternatives](/tools/neonwatty-meme-search/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [meme-search markdown twin](/tools/neonwatty-meme-search/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-neonwatty-meme-search.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or meme-search? caffe: Dormant. meme-search: 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 meme-search? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [meme-search trust report](/tools/neonwatty-meme-search/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/_