--- title: "jax vs hold" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jax-ml-jax-vs-zc-alexfan-hold" tools: ["jax-ml-jax", "zc-alexfan-hold"] --- # jax vs hold *GraphCanon updated Jul 11, 2026* ## Verdict Pick jax when license: jax is Apache-2.0, hold is MIT; pick hold when license: hold is MIT, jax is Apache-2.0. [jax](https://docs.jax.dev) reports 36k GitHub stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. [hold](https://zc-alexfan.github.io/hold) has 486 stars, 15 forks, and 9 open issues, last pushed Mar 10, 2026. Figures are from public GitHub metadata via [jax's repository](https://github.com/jax-ml/jax) and [hold's repository](https://github.com/zc-alexfan/hold). | | [jax](/tools/jax-ml-jax.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Tagline | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | [CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D | | Stars | 35,999 | 486 | | Forks | 3,676 | 15 | | Open issues | 2,495 | 9 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Vector Databases, Evaluation & Observability, Computer Vision | Model Training, Vector Databases, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jax](/tools/jax-ml-jax.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 122d | | Open issues (now) | 2.5k | 9 | | Owner type | Organization | User | | Security scan | No lockfile | 9 low (9 low) | | Full report | [trust report](/tools/jax-ml-jax/trust.md) | [trust report](/tools/zc-alexfan-hold/trust.md) | ## Choose when ### Choose jax if… - License: jax is Apache-2.0, hold is MIT. - Tags unique to jax: python, jax. - Also covers Evaluation & Observability. ### Choose hold if… - License: hold is MIT, jax is Apache-2.0. - Tags unique to hold: 3d-reconstruction, hand-object-reconstruction, ai, artificial-intelligence. - Also covers Model Training. ## 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. ## When NOT to use hold - Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold. - 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 hold? jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. hold: [CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D. See the comparison table for live GitHub stats and shared categories. ### When should I choose jax over hold? Choose jax over hold when License: jax is Apache-2.0, hold is MIT; Tags unique to jax: python, jax; Also covers Evaluation & Observability. ### When should I choose hold over jax? Choose hold over jax when License: hold is MIT, jax is Apache-2.0; Tags unique to hold: 3d-reconstruction, hand-object-reconstruction, ai, artificial-intelligence; Also covers Model Training. ### 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 hold? Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold. 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 hold more popular on GitHub? jax has more GitHub stars (35,999 vs 486). Stars measure visibility, not whether either tool fits your constraints. ### Are jax and hold open source? Yes - both are open-source projects on GitHub (jax: Apache-2.0, hold: MIT). ### Where can I find alternatives to jax or hold? GraphCanon lists graph-backed alternatives at [jax alternatives](/tools/jax-ml-jax/alternatives) and [hold alternatives](/tools/zc-alexfan-hold/alternatives) ([jax markdown twin](/tools/jax-ml-jax/alternatives.md), [hold markdown twin](/tools/zc-alexfan-hold/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-zc-alexfan-hold.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jax or hold? jax: Very active. hold: Slowing. 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 hold? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jax trust report](/tools/jax-ml-jax/trust); [hold trust report](/tools/zc-alexfan-hold/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/_