--- title: "caffe vs tensorflow-triplet-loss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-omoindrot-tensorflow-triplet-loss" tools: ["bvlc-caffe", "omoindrot-tensorflow-triplet-loss"] --- # caffe vs tensorflow-triplet-loss *GraphCanon updated Jul 12, 2026* ## Verdict Pick caffe when caffe is primarily C++; tensorflow-triplet-loss is Python; pick tensorflow-triplet-loss when tensorflow-triplet-loss 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. [tensorflow-triplet-loss](https://omoindrot.github.io/triplet-loss) has 1.1k stars, 280 forks, and 32 open issues, last pushed May 9, 2019. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [tensorflow-triplet-loss's repository](https://github.com/omoindrot/tensorflow-triplet-loss). | | [caffe](/tools/bvlc-caffe.md) | [tensorflow-triplet-loss](/tools/omoindrot-tensorflow-triplet-loss.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | Implementation of triplet loss in TensorFlow | | Stars | 34,574 | 1,127 | | Forks | 18,458 | 280 | | Open issues | 1,209 | 32 | | Language | C++ | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Computer Vision, Vector Databases | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [tensorflow-triplet-loss](/tools/omoindrot-tensorflow-triplet-loss.md) | | --- | --- | --- | | Days since push | 710d | 2619d | | Open issues (now) | 1.2k | 32 | | Owner type | Organization | User | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/omoindrot-tensorflow-triplet-loss/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; tensorflow-triplet-loss is Python. - License: caffe is Other, tensorflow-triplet-loss is MIT. - Tags unique to caffe: c++, deep-learning, machine-learning, vision. - Also covers Computer Vision, Vector Databases. ### Choose tensorflow-triplet-loss if… - tensorflow-triplet-loss is primarily Python; caffe is C++. - License: tensorflow-triplet-loss is MIT, caffe is Other. - Tags unique to tensorflow-triplet-loss: embeddings, online-triplet-mining, tensorflow, triplet-loss. - Also covers Model Training. ## 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 tensorflow-triplet-loss - Last GitHub push was 2620 days ago (dormant maintenance, May 9, 2019). Validate activity before betting a new project on tensorflow-triplet-loss. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between caffe and tensorflow-triplet-loss? caffe: Caffe: a fast open framework for deep learning.. tensorflow-triplet-loss: Implementation of triplet loss in TensorFlow. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over tensorflow-triplet-loss? Choose caffe over tensorflow-triplet-loss when caffe is primarily C++; tensorflow-triplet-loss is Python; License: caffe is Other, tensorflow-triplet-loss is MIT; Tags unique to caffe: c++, deep-learning, machine-learning, vision; Also covers Computer Vision, Vector Databases. ### When should I choose tensorflow-triplet-loss over caffe? Choose tensorflow-triplet-loss over caffe when tensorflow-triplet-loss is primarily Python; caffe is C++; License: tensorflow-triplet-loss is MIT, caffe is Other; Tags unique to tensorflow-triplet-loss: embeddings, online-triplet-mining, tensorflow, triplet-loss; Also covers Model Training. ### 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 tensorflow-triplet-loss? Last GitHub push was 2620 days ago (dormant maintenance, May 9, 2019). Validate activity before betting a new project on tensorflow-triplet-loss. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is caffe or tensorflow-triplet-loss more popular on GitHub? caffe has more GitHub stars (34,574 vs 1,127). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and tensorflow-triplet-loss open source? Yes - both are open-source projects on GitHub (caffe: Other, tensorflow-triplet-loss: MIT). ### Where can I find alternatives to caffe or tensorflow-triplet-loss? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [tensorflow-triplet-loss alternatives](/tools/omoindrot-tensorflow-triplet-loss/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [tensorflow-triplet-loss markdown twin](/tools/omoindrot-tensorflow-triplet-loss/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-omoindrot-tensorflow-triplet-loss.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or tensorflow-triplet-loss? caffe: Dormant. tensorflow-triplet-loss: 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 tensorflow-triplet-loss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [tensorflow-triplet-loss trust report](/tools/omoindrot-tensorflow-triplet-loss/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/_