--- title: "pytorch vs hold" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pytorch-pytorch-vs-zc-alexfan-hold" tools: ["pytorch-pytorch", "zc-alexfan-hold"] --- # pytorch vs hold *GraphCanon updated Jul 11, 2026* ## Verdict Pick pytorch when license: pytorch is Other, hold is MIT; pick hold when license: hold is MIT, pytorch is Other. [pytorch](https://pytorch.org) reports 102k GitHub stars, 28k forks, and 18k 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 [pytorch's repository](https://github.com/pytorch/pytorch) and [hold's repository](https://github.com/zc-alexfan/hold). | | [pytorch](/tools/pytorch-pytorch.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Tagline | Tensors and Dynamic neural networks in Python with strong GPU acceleration | [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 | 101,752 | 486 | | Forks | 28,478 | 15 | | Open issues | 18,282 | 9 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Computer Vision, Data & Retrieval, Model Training | Computer Vision, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pytorch](/tools/pytorch-pytorch.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 122d | | Open issues (now) | 18k | 9 | | Owner type | Organization | User | | Security scan | No criticals | 9 low (9 low) | | Full report | [trust report](/tools/pytorch-pytorch/trust.md) | [trust report](/tools/zc-alexfan-hold/trust.md) | ## Choose when ### Choose pytorch if… - License: pytorch is Other, hold is MIT. - Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning. - Also covers Data & Retrieval. - pytorch ships Docker support for self-hosted deployment. ### Choose hold if… - License: hold is MIT, pytorch is Other. - Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality. - Also covers Vector Databases. ## When NOT to use pytorch - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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 pytorch and hold? pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. 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 pytorch over hold? Choose pytorch over hold when License: pytorch is Other, hold is MIT; Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning; Also covers Data & Retrieval; pytorch ships Docker support for self-hosted deployment. ### When should I choose hold over pytorch? Choose hold over pytorch when License: hold is MIT, pytorch is Other; Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality; Also covers Vector Databases. ### When should I avoid pytorch? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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 pytorch or hold more popular on GitHub? pytorch has more GitHub stars (101,752 vs 486). Stars measure visibility, not whether either tool fits your constraints. ### Are pytorch and hold open source? Yes - both are open-source projects on GitHub (pytorch: Other, hold: MIT). ### Where can I find alternatives to pytorch or hold? GraphCanon lists graph-backed alternatives at [pytorch alternatives](/tools/pytorch-pytorch/alternatives) and [hold alternatives](/tools/zc-alexfan-hold/alternatives) ([pytorch markdown twin](/tools/pytorch-pytorch/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/pytorch-pytorch-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, pytorch or hold? pytorch: 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 pytorch and hold? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pytorch trust report](/tools/pytorch-pytorch/trust); [hold trust report](/tools/zc-alexfan-hold/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pytorch-pytorch`](/api/graphcanon/graph?tool=pytorch-pytorch) - 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/_