--- title: "jax vs hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jax-ml-jax-vs-tensorflow-hub" tools: ["jax-ml-jax", "tensorflow-hub"] --- # jax vs hub *GraphCanon updated Jul 12, 2026* ## Verdict Pick jax when tags unique to jax: jax; pick hub when tags unique to hub: embeddings, image-classification, machine-learning, ml. [jax](https://docs.jax.dev) reports 36k GitHub stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. [hub](https://tensorflow.org/hub) has 3.5k stars, 1.6k forks, and 14 open issues, last pushed Jan 17, 2025. Figures are from public GitHub metadata via [jax's repository](https://github.com/jax-ml/jax) and [hub's repository](https://github.com/tensorflow/hub). | | [jax](/tools/jax-ml-jax.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Tagline | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | A library for transfer learning by reusing parts of TensorFlow models. | | Stars | 35,999 | 3,521 | | Forks | 3,676 | 1,644 | | Open issues | 2,495 | 14 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Computer Vision, Evaluation & Observability, Vector Databases | Computer Vision, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jax](/tools/jax-ml-jax.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 539d | | Open issues (now) | 2.5k | 14 | | Full report | [trust report](/tools/jax-ml-jax/trust.md) | [trust report](/tools/tensorflow-hub/trust.md) | ## Choose when ### Choose jax if… - Tags unique to jax: jax. - Also covers Evaluation & Observability. - More GitHub stars (36k vs 3.5k) - visibility, not fit. ### Choose hub if… - Tags unique to hub: embeddings, image-classification, machine-learning, ml. - Also covers Model Training. - Leaner open-issue backlog (14). ## 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. ## 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. - 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. ## 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: embeddings, image-classification, machine-learning, ml; Also covers Model Training; Leaner open-issue backlog (14). ### 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. ### 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. 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. ### 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](/tools/jax-ml-jax/alternatives) and [hub alternatives](/tools/tensorflow-hub/alternatives) ([jax markdown twin](/tools/jax-ml-jax/alternatives.md), [hub markdown twin](/tools/tensorflow-hub/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/jax-ml-jax-vs-tensorflow-hub.md) 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](/tools/jax-ml-jax/trust); [hub trust report](/tools/tensorflow-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jax-ml-jax`](/api/graphcanon/graph?tool=jax-ml-jax) - 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/_