--- title: "pytorch vs hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pytorch-pytorch-vs-tensorflow-hub" tools: ["pytorch-pytorch", "tensorflow-hub"] --- # pytorch vs hub *GraphCanon updated Jul 12, 2026* ## Verdict Pick pytorch when license: pytorch is Other, hub is Apache-2.0; pick hub when license: hub is Apache-2.0, pytorch is Other. [pytorch](https://pytorch.org) reports 102k GitHub stars, 28k forks, and 18k 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 [pytorch's repository](https://github.com/pytorch/pytorch) and [hub's repository](https://github.com/tensorflow/hub). | | [pytorch](/tools/pytorch-pytorch.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Tagline | Tensors and Dynamic neural networks in Python with strong GPU acceleration | A library for transfer learning by reusing parts of TensorFlow models. | | Stars | 101,752 | 3,521 | | Forks | 28,478 | 1,644 | | Open issues | 18,282 | 14 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Model Training, Data & Retrieval, Computer Vision | Model Training, Vector Databases, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pytorch](/tools/pytorch-pytorch.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 539d | | Open issues (now) | 18k | 14 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/pytorch-pytorch/trust.md) | [trust report](/tools/tensorflow-hub/trust.md) | ## Choose when ### Choose pytorch if… - License: pytorch is Other, hub is Apache-2.0. - Tags unique to pytorch: autograd, deep-learning, gpu, neural-network. - Also covers Data & Retrieval. - pytorch ships Docker support for self-hosted deployment. ### Choose hub if… - License: hub is Apache-2.0, pytorch is Other. - Tags unique to hub: ml, embeddings, image-classification, transfer-learning. - Also covers Vector Databases. ## When NOT to use pytorch - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## 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 pytorch and hub? pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. 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 pytorch over hub? Choose pytorch over hub when License: pytorch is Other, hub is Apache-2.0; Tags unique to pytorch: autograd, deep-learning, gpu, neural-network; Also covers Data & Retrieval; pytorch ships Docker support for self-hosted deployment. ### When should I choose hub over pytorch? Choose hub over pytorch when License: hub is Apache-2.0, pytorch is Other; Tags unique to hub: ml, embeddings, image-classification, transfer-learning; Also covers Vector Databases. ### When should I avoid pytorch? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### 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 pytorch or hub more popular on GitHub? pytorch has more GitHub stars (101,752 vs 3,521). Stars measure visibility, not whether either tool fits your constraints. ### Are pytorch and hub open source? Yes - both are open-source projects on GitHub (pytorch: Other, hub: Apache-2.0). ### Where can I find alternatives to pytorch or hub? GraphCanon lists graph-backed alternatives at [pytorch alternatives](/tools/pytorch-pytorch/alternatives) and [hub alternatives](/tools/tensorflow-hub/alternatives) ([pytorch markdown twin](/tools/pytorch-pytorch/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/pytorch-pytorch-vs-tensorflow-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pytorch or hub? pytorch: 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 pytorch and hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pytorch trust report](/tools/pytorch-pytorch/trust); [hub trust report](/tools/tensorflow-hub/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/_