--- title: "lightly-train vs pytorch-lightning" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightly-ai-lightly-train-vs-lightning-ai-pytorch-lightning" tools: ["lightly-ai-lightly-train", "lightning-ai-pytorch-lightning"] --- # lightly-train vs pytorch-lightning *GraphCanon updated Jul 12, 2026* ## Verdict Pick lightly-train when license: lightly-train is AGPL-3.0, pytorch-lightning is Apache-2.0; pick pytorch-lightning when license: pytorch-lightning is Apache-2.0, lightly-train is AGPL-3.0. [lightly-train](https://docs.lightly.ai/train) reports 1.6k GitHub stars, 89 forks, and 64 open issues, last pushed Jul 10, 2026. [pytorch-lightning](https://lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) has 31k stars, 3.8k forks, and 1.0k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [lightly-train's repository](https://github.com/lightly-ai/lightly-train) and [pytorch-lightning's repository](https://github.com/Lightning-AI/pytorch-lightning). | | [lightly-train](/tools/lightly-ai-lightly-train.md) | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | | --- | --- | --- | | Tagline | All-in-one training for vision models: pretraining, fine-tuning, distillation. | Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. | | Stars | 1,610 | 31,233 | | Forks | 89 | 3,756 | | Open issues | 64 | 1,049 | | Language | Python | Python | | Adopt for | Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. | - | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | Apache-2.0 | | Categories | Computer Vision, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lightly-train](/tools/lightly-ai-lightly-train.md) | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 64 | 1.0k | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/lightly-ai-lightly-train/trust.md) | [trust report](/tools/lightning-ai-pytorch-lightning/trust.md) | ## Decision facts: lightly-train - **Requirements:** Min 8 GB RAM - **Adopt for:** Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. ## Choose when ### Choose lightly-train if… - License: lightly-train is AGPL-3.0, pytorch-lightning is Apache-2.0. - Requirements: Min 8 GB RAM. - Tags unique to lightly-train: computer-vision, contrastive-learning, depth-estimation, dinov2. - Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. ### Choose pytorch-lightning if… - License: pytorch-lightning is Apache-2.0, lightly-train is AGPL-3.0. - Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, machine-learning. - More GitHub stars (31k vs 1.6k) - visibility, not fit. ## When NOT to use lightly-train - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use pytorch-lightning - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between lightly-train and pytorch-lightning? lightly-train: All-in-one training for vision models: pretraining, fine-tuning, distillation.. pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. See the comparison table for live GitHub stats and shared categories. ### When should I choose lightly-train over pytorch-lightning? Choose lightly-train over pytorch-lightning when License: lightly-train is AGPL-3.0, pytorch-lightning is Apache-2.0; Requirements: Min 8 GB RAM; Tags unique to lightly-train: computer-vision, contrastive-learning, depth-estimation, dinov2; Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. ### When should I choose pytorch-lightning over lightly-train? Choose pytorch-lightning over lightly-train when License: pytorch-lightning is Apache-2.0, lightly-train is AGPL-3.0; Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, machine-learning; More GitHub stars (31k vs 1.6k) - visibility, not fit. ### When should I avoid lightly-train? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid pytorch-lightning? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is lightly-train or pytorch-lightning more popular on GitHub? pytorch-lightning has more GitHub stars (31,233 vs 1,610). Stars measure visibility, not whether either tool fits your constraints. ### Are lightly-train and pytorch-lightning open source? Yes - both are open-source projects on GitHub (lightly-train: AGPL-3.0, pytorch-lightning: Apache-2.0). ### Where can I find alternatives to lightly-train or pytorch-lightning? GraphCanon lists graph-backed alternatives at [lightly-train alternatives](/tools/lightly-ai-lightly-train/alternatives) and [pytorch-lightning alternatives](/tools/lightning-ai-pytorch-lightning/alternatives) ([lightly-train markdown twin](/tools/lightly-ai-lightly-train/alternatives.md), [pytorch-lightning markdown twin](/tools/lightning-ai-pytorch-lightning/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/lightly-ai-lightly-train-vs-lightning-ai-pytorch-lightning.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lightly-train or pytorch-lightning? lightly-train: Very active. pytorch-lightning: Very active. 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 lightly-train and pytorch-lightning? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lightly-train trust report](/tools/lightly-ai-lightly-train/trust); [pytorch-lightning trust report](/tools/lightning-ai-pytorch-lightning/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lightly-ai-lightly-train`](/api/graphcanon/graph?tool=lightly-ai-lightly-train) - 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/_