Comparison
caffe vs jax
Verdict
Pick caffe when caffe is primarily C++; jax is Python; pick jax when jax is primarily Python; caffe is C++.
Markdown twin · caffe alternatives · jax alternatives
GraphCanon updated today
Trust & integrity
| Signal | caffe | jax |
|---|---|---|
| Maintenance | Dormant (710d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- caffe
- Caffe: a fast open framework for deep learning.
- jax
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Stars
- caffe
- 35k
- jax
- 36k
Forks
- caffe
- 18k
- jax
- 3.7k
Open issues
- caffe
- 1.2k
- jax
- 2.5k
Language
- caffe
- C++
- jax
- Python
Adopt for
- caffe
- -
- jax
- -
Persona
- caffe
- -
- jax
- -
Runtime
- caffe
- -
- jax
- -
License
- caffe
- Other
- jax
- Apache-2.0
Last pushed
- caffe
- Jul 31, 2024
- jax
- Jul 11, 2026
Categories
- caffe
- Vector Databases, Computer Vision
- jax
- Vector Databases, Computer Vision, Evaluation & Observability
Trust and health
Maintenance
- caffe
- Dormant (18%)
- jax
- Very active (96%)
Days since push
- caffe
- 710d
- jax
- 0d
Open issues (now)
- caffe
- 1.2k
- jax
- 2.5k
Full report
- caffe
- Trust report
- jax
- Trust report
Choose caffe if…
- caffe is primarily C++; jax is Python.
- License: caffe is Other, jax is Apache-2.0.
- Tags unique to caffe: deep-learning, vision, machine-learning, c++.
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.
Choose jax if…
- jax is primarily Python; caffe is C++.
- License: jax is Apache-2.0, caffe is Other.
- Tags unique to jax: python, jax.
- Also covers Evaluation & Observability.
When NOT to use jax
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BVLC/caffe) · observed Jul 11, 2026
- GitHub forks (BVLC/caffe) · observed Jul 11, 2026
- Last push (BVLC/caffe) · observed Jul 31, 2024
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jax-ml/jax) · observed Jul 11, 2026
- GitHub forks (jax-ml/jax) · observed Jul 11, 2026
- Last push (jax-ml/jax) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · jax 36k (synced Jul 11, 2026).
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: deep-learning, vision, machine-learning, c++.
- 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: python, jax; 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?
- 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 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 and jax alternatives (caffe markdown twin, jax markdown twin), 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 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; jax trust report.