Comparison
jax vs hub
Verdict
Pick jax when tags unique to jax: jax; pick hub when tags unique to hub: ml, embeddings, machine-learning, image-classification.
Markdown twin · jax alternatives · hub alternatives
GraphCanon updated today
Trust & integrity
| Signal | jax | hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (539d 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
- jax
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
- hub
- A library for transfer learning by reusing parts of TensorFlow models.
Stars
- jax
- 36k
- hub
- 3.5k
Forks
- jax
- 3.7k
- hub
- 1.6k
Open issues
- jax
- 2.5k
- hub
- 14
Language
- jax
- Python
- hub
- Python
Adopt for
- jax
- -
- hub
- -
Persona
- jax
- -
- hub
- -
Runtime
- jax
- -
- hub
- -
License
- jax
- Apache-2.0
- hub
- Apache-2.0
Last pushed
- jax
- Jul 11, 2026
- hub
- Jan 17, 2025
Categories
- jax
- Vector Databases, Evaluation & Observability, Computer Vision
- hub
- Vector Databases, Model Training, Computer Vision
Trust and health
Maintenance
- jax
- Very active (96%)
- hub
- Dormant (18%)
Days since push
- jax
- 0d
- hub
- 539d
Open issues (now)
- jax
- 2.5k
- hub
- 14
Full report
- jax
- Trust report
- hub
- Trust report
Choose jax if…
- Tags unique to jax: jax.
- Also covers Evaluation & Observability.
- More GitHub stars (36k vs 3.5k) - visibility, not fit.
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.
Choose hub if…
- Tags unique to hub: ml, embeddings, machine-learning, image-classification.
- Also covers Model Training.
- Leaner open-issue backlog (14).
When NOT to use hub
- Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (tensorflow/hub) · observed Jul 11, 2026
- GitHub forks (tensorflow/hub) · observed Jul 11, 2026
- Last push (tensorflow/hub) · observed Jan 17, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jax 36k · hub 3.5k (synced Jul 11, 2026).
Common questions
- What is the difference between jax and hub?
- jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. hub: A library for transfer learning by reusing parts of TensorFlow models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose jax over hub?
- Choose jax over hub when Tags unique to jax: jax; Also covers Evaluation & Observability; More GitHub stars (36k vs 3.5k) - visibility, not fit.
- When should I choose hub over jax?
- Choose hub over jax when Tags unique to hub: ml, embeddings, machine-learning, image-classification; Also covers Model Training; Leaner open-issue backlog (14).
- 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.
- When should I avoid hub?
- Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is jax or hub more popular on GitHub?
- jax has more GitHub stars (35,999 vs 3,521). Stars measure visibility, not whether either tool fits your constraints.
- Are jax and hub open source?
- Yes - both are open-source projects on GitHub (jax: Apache-2.0, hub: Apache-2.0).
- Where can I find alternatives to jax or hub?
- GraphCanon lists graph-backed alternatives at jax alternatives and hub alternatives (jax markdown twin, hub 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, jax or hub?
- jax: Very active. hub: 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 jax and hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jax trust report; hub trust report.