--- title: "caffe vs geti_v2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-open-edge-platform-geti-v2" tools: ["bvlc-caffe", "open-edge-platform-geti-v2"] --- # caffe vs geti_v2 *GraphCanon updated Jul 11, 2026* ## Verdict Pick caffe when caffe is primarily C++; geti_v2 is TypeScript; pick geti_v2 when geti_v2 is primarily TypeScript; caffe is C++. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [geti_v2](https://docs.geti.intel.com) has 484 stars, 50 forks, and 107 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [geti_v2's repository](https://github.com/open-edge-platform/geti_v2). | | [caffe](/tools/bvlc-caffe.md) | [geti_v2](/tools/open-edge-platform-geti-v2.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | Build computer vision models in a fraction of the time and with less data. | | Stars | 34,574 | 484 | | Forks | 18,458 | 50 | | Open issues | 1,209 | 107 | | Language | C++ | TypeScript | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Vector Databases, Computer Vision | Computer Vision, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [geti_v2](/tools/open-edge-platform-geti-v2.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 710d | 2d | | Open issues (now) | 1.2k | 107 | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/open-edge-platform-geti-v2/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; geti_v2 is TypeScript. - Tags unique to caffe: vision, machine-learning, c++. - Also covers Vector Databases. ### Choose geti_v2 if… - geti_v2 is primarily TypeScript; caffe is C++. - Tags unique to geti_v2: fine-tuning, openvino, typescript, inference. - Also covers Inference & Serving. ## 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 geti_v2 - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between caffe and geti_v2? caffe: Caffe: a fast open framework for deep learning.. geti_v2: Build computer vision models in a fraction of the time and with less data.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over geti_v2? Choose caffe over geti_v2 when caffe is primarily C++; geti_v2 is TypeScript; Tags unique to caffe: vision, machine-learning, c++; Also covers Vector Databases. ### When should I choose geti_v2 over caffe? Choose geti_v2 over caffe when geti_v2 is primarily TypeScript; caffe is C++; Tags unique to geti_v2: fine-tuning, openvino, typescript, inference; Also covers Inference & Serving. ### 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 geti_v2? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is caffe or geti_v2 more popular on GitHub? caffe has more GitHub stars (34,574 vs 484). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and geti_v2 open source? Yes - both are open-source projects on GitHub (caffe: Other, geti_v2: Other). ### Where can I find alternatives to caffe or geti_v2? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [geti_v2 alternatives](/tools/open-edge-platform-geti-v2/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [geti_v2 markdown twin](/tools/open-edge-platform-geti-v2/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-open-edge-platform-geti-v2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or geti_v2? caffe: Dormant. geti_v2: 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 geti_v2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [geti_v2 trust report](/tools/open-edge-platform-geti-v2/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/_