--- title: "caffe vs apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-hendrycks-apps" tools: ["bvlc-caffe", "hendrycks-apps"] --- # caffe vs apps *GraphCanon updated Jul 11, 2026* ## Verdict Pick caffe when caffe is primarily C++; apps is Python; pick apps when apps 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. [apps](https://github.com/hendrycks/apps) has 536 stars, 70 forks, and 4 open issues, last pushed Jun 19, 2024. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [apps's repository](https://github.com/hendrycks/apps). | | [caffe](/tools/bvlc-caffe.md) | [apps](/tools/hendrycks-apps.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | APPS: Automated Programming Progress Standard (NeurIPS 2021) | | Stars | 34,574 | 536 | | Forks | 18,458 | 70 | | Open issues | 1,209 | 4 | | Language | C++ | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Vector Databases, Computer Vision | Model Training, Vector Databases, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [apps](/tools/hendrycks-apps.md) | | --- | --- | --- | | Days since push | 710d | 752d | | Open issues (now) | 1.2k | 4 | | Owner type | Organization | User | | Security scan | No lockfile | 77 low (77 low) | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/hendrycks-apps/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; apps is Python. - License: caffe is Other, apps is MIT. - Tags unique to caffe: deep-learning, vision, machine-learning, c++. - Also covers Computer Vision. ### Choose apps if… - apps is primarily Python; caffe is C++. - License: apps is MIT, caffe is Other. - Tags unique to apps: program-synthesis, python, code-generation. - Also covers Model Training, Evaluation & Observability. ## 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 apps - Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between caffe and apps? caffe: Caffe: a fast open framework for deep learning.. apps: APPS: Automated Programming Progress Standard (NeurIPS 2021). See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over apps? Choose caffe over apps when caffe is primarily C++; apps is Python; License: caffe is Other, apps is MIT; Tags unique to caffe: deep-learning, vision, machine-learning, c++; Also covers Computer Vision. ### When should I choose apps over caffe? Choose apps over caffe when apps is primarily Python; caffe is C++; License: apps is MIT, caffe is Other; Tags unique to apps: program-synthesis, python, code-generation; Also covers Model Training, Evaluation & Observability. ### 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 apps? Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is caffe or apps more popular on GitHub? caffe has more GitHub stars (34,574 vs 536). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and apps open source? Yes - both are open-source projects on GitHub (caffe: Other, apps: MIT). ### Where can I find alternatives to caffe or apps? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [apps alternatives](/tools/hendrycks-apps/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [apps markdown twin](/tools/hendrycks-apps/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-hendrycks-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or apps? caffe: Dormant. apps: 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 apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [apps trust report](/tools/hendrycks-apps/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/_