--- title: "pytorch-lightning vs hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightning-ai-pytorch-lightning-vs-tensorflow-hub" tools: ["lightning-ai-pytorch-lightning", "tensorflow-hub"] --- # pytorch-lightning vs hub *GraphCanon updated Jul 12, 2026* ## Verdict Pick pytorch-lightning when tags unique to pytorch-lightning: data-science, deep-learning, ai, artificial-intelligence; pick hub when tags unique to hub: ml, embeddings, image-classification, transfer-learning. [pytorch-lightning](https://lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) reports 31k GitHub stars, 3.8k forks, and 1.0k open issues, last pushed Jul 10, 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-lightning's repository](https://github.com/Lightning-AI/pytorch-lightning) and [hub's repository](https://github.com/tensorflow/hub). | | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Tagline | Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. | A library for transfer learning by reusing parts of TensorFlow models. | | Stars | 31,233 | 3,521 | | Forks | 3,756 | 1,644 | | Open issues | 1,049 | 14 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Model Training, Computer Vision | Model Training, Vector Databases, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 539d | | Open issues (now) | 1.0k | 14 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/lightning-ai-pytorch-lightning/trust.md) | [trust report](/tools/tensorflow-hub/trust.md) | ## Choose when ### Choose pytorch-lightning if… - Tags unique to pytorch-lightning: data-science, deep-learning, ai, artificial-intelligence. - More GitHub stars (31k vs 3.5k) - visibility, not fit. ### Choose hub if… - Tags unique to hub: ml, embeddings, image-classification, transfer-learning. - Also covers Vector Databases. - Leaner open-issue backlog (14). ## When NOT to use pytorch-lightning - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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-lightning and hub? pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. 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-lightning over hub? Choose pytorch-lightning over hub when Tags unique to pytorch-lightning: data-science, deep-learning, ai, artificial-intelligence; More GitHub stars (31k vs 3.5k) - visibility, not fit. ### When should I choose hub over pytorch-lightning? Choose hub over pytorch-lightning when Tags unique to hub: ml, embeddings, image-classification, transfer-learning; Also covers Vector Databases; Leaner open-issue backlog (14). ### When should I avoid pytorch-lightning? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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-lightning or hub more popular on GitHub? pytorch-lightning has more GitHub stars (31,233 vs 3,521). Stars measure visibility, not whether either tool fits your constraints. ### Are pytorch-lightning and hub open source? Yes - both are open-source projects on GitHub (pytorch-lightning: Apache-2.0, hub: Apache-2.0). ### Where can I find alternatives to pytorch-lightning or hub? GraphCanon lists graph-backed alternatives at [pytorch-lightning alternatives](/tools/lightning-ai-pytorch-lightning/alternatives) and [hub alternatives](/tools/tensorflow-hub/alternatives) ([pytorch-lightning markdown twin](/tools/lightning-ai-pytorch-lightning/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/lightning-ai-pytorch-lightning-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-lightning or hub? pytorch-lightning: 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-lightning and hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pytorch-lightning trust report](/tools/lightning-ai-pytorch-lightning/trust); [hub trust report](/tools/tensorflow-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lightning-ai-pytorch-lightning`](/api/graphcanon/graph?tool=lightning-ai-pytorch-lightning) - 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/_