--- title: "caffe vs jax" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-jax-ml-jax" tools: ["bvlc-caffe", "jax-ml-jax"] --- # caffe vs jax *GraphCanon updated Jul 11, 2026* ## Verdict Pick caffe when caffe is primarily C++; jax is Python; pick jax when jax 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. [jax](https://docs.jax.dev) has 36k stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [jax's repository](https://github.com/jax-ml/jax). | | [caffe](/tools/bvlc-caffe.md) | [jax](/tools/jax-ml-jax.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | | Stars | 34,574 | 35,999 | | Forks | 18,458 | 3,676 | | Open issues | 1,209 | 2,495 | | Language | C++ | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Computer Vision, Vector Databases | Computer Vision, Evaluation & Observability, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [jax](/tools/jax-ml-jax.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 710d | 0d | | Open issues (now) | 1.2k | 2.5k | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/jax-ml-jax/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; jax is Python. - License: caffe is Other, jax is Apache-2.0. - Tags unique to caffe: c++, deep-learning, machine-learning, vision. ### Choose jax if… - jax is primarily Python; caffe is C++. - License: jax is Apache-2.0, caffe is Other. - Tags unique to jax: jax, python. - Also covers 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 jax - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - 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 jax? caffe: Caffe: a fast open framework for deep learning.. jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over jax? Choose caffe over jax when caffe is primarily C++; jax is Python; License: caffe is Other, jax is Apache-2.0; Tags unique to caffe: c++, deep-learning, machine-learning, vision. ### When should I choose jax over caffe? Choose jax over caffe when jax is primarily Python; caffe is C++; License: jax is Apache-2.0, caffe is Other; Tags unique to jax: jax, python; Also covers 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 jax? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. 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 jax more popular on GitHub? jax has more GitHub stars (35,999 vs 34,574). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and jax open source? Yes - both are open-source projects on GitHub (caffe: Other, jax: Apache-2.0). ### Where can I find alternatives to caffe or jax? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [jax alternatives](/tools/jax-ml-jax/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [jax markdown twin](/tools/jax-ml-jax/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-jax-ml-jax.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or jax? caffe: Dormant. jax: 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 jax? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [jax trust report](/tools/jax-ml-jax/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/_