--- title: "pytorch-lightning vs DeepLearningExamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightning-ai-pytorch-lightning-vs-nvidia-deeplearningexamples" tools: ["lightning-ai-pytorch-lightning", "nvidia-deeplearningexamples"] --- # pytorch-lightning vs DeepLearningExamples *GraphCanon updated Aug 17, 2026* ## Verdict Pick pytorch-lightning if pyTorch Lightning scales PyTorch models across GPUs with minimal code changes; pick DeepLearningExamples if curated facts for DeepLearningExamples, tailored to its unique features and offerings. [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 1.1k open issues, last pushed Aug 3, 2026. [DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples) has 15k stars, 3.4k forks, and 321 open issues, last pushed Aug 12, 2024. Figures are from public GitHub metadata via [pytorch-lightning's repository](https://github.com/Lightning-AI/pytorch-lightning) and [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples). | | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Tagline | Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. | State-of-the-Art Deep Learning scripts for various applications | | Stars | 31,267 | 14,844 | | Forks | 3,768 | 3,408 | | Open issues | 1,060 | 321 | | Language | Python | Jupyter Notebook | | Adopt for | PyTorch Lightning scales PyTorch models across GPUs with minimal code changes. | Curated facts for DeepLearningExamples, tailored to its unique features and offerings. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 734d | | Open issues (now) | 1.1k | 321 | | Stars delta | Unknown | +14 (30d) | | Open issues delta | Unknown | -1 (30d) | | Full report | [trust report](/tools/lightning-ai-pytorch-lightning/trust.md) | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | ## Decision facts: pytorch-lightning - **Adopt for:** PyTorch Lightning scales PyTorch models across GPUs with minimal code changes. ## Decision facts: DeepLearningExamples - **Adopt for:** Curated facts for DeepLearningExamples, tailored to its unique features and offerings. ## Choose when ### Choose pytorch-lightning if… - pytorch-lightning is primarily Python; DeepLearningExamples is Jupyter Notebook. - Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, machine-learning. - Scalable ML model training with consistent API across single to multiple GPUs ### Choose DeepLearningExamples if… - DeepLearningExamples is primarily Jupyter Notebook; pytorch-lightning is Python. - Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large language models. - The NVIDIA GPU Cloud (NGC) Container Registry that integrates with this tool offers the latest updates every month along with rigorous quality assurance. ## When NOT to use pytorch-lightning - For lightweight models requiring minimal configuration or manual control over model distribution - Projects that target environments without access to multi-GPU setups and do not require scalability features ## When NOT to use DeepLearningExamples - Avoid using DeepLearningExamples if you do not have access to NVIDIA GPUs, as it is heavily optimized for these specific hardware configurations to provide maximum utilization of Tensor Cores. - If your project requires frameworks that are less common (e.g., MXNet or PaddlePaddle) without the same level of support as PyTorch and TensorFlow on this platform, consider other repositories that n ## Common questions ### What is the difference between pytorch-lightning and DeepLearningExamples? pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. DeepLearningExamples: State-of-the-Art Deep Learning scripts for various applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose pytorch-lightning over DeepLearningExamples? Choose pytorch-lightning over DeepLearningExamples when pytorch-lightning is primarily Python; DeepLearningExamples is Jupyter Notebook; Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, machine-learning; Scalable ML model training with consistent API across single to multiple GPUs. ### When should I choose DeepLearningExamples over pytorch-lightning? Choose DeepLearningExamples over pytorch-lightning when DeepLearningExamples is primarily Jupyter Notebook; pytorch-lightning is Python; Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large language models; The NVIDIA GPU Cloud (NGC) Container Registry that integrates with this tool offers the latest updates every month along with rigorous quality assurance. ### When should I avoid pytorch-lightning? For lightweight models requiring minimal configuration or manual control over model distribution Projects that target environments without access to multi-GPU setups and do not require scalability features ### When should I avoid DeepLearningExamples? Avoid using DeepLearningExamples if you do not have access to NVIDIA GPUs, as it is heavily optimized for these specific hardware configurations to provide maximum utilization of Tensor Cores. If your project requires frameworks that are less common (e.g., MXNet or PaddlePaddle) without the same level of support as PyTorch and TensorFlow on this platform, consider other repositories that n ### Is pytorch-lightning or DeepLearningExamples more popular on GitHub? pytorch-lightning has more GitHub stars (31,267 vs 14,844). Stars measure visibility, not whether either tool fits your constraints. ### Are pytorch-lightning and DeepLearningExamples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to pytorch-lightning or DeepLearningExamples? GraphCanon lists graph-backed alternatives at [pytorch-lightning alternatives](/tools/lightning-ai-pytorch-lightning/alternatives) and [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) ([pytorch-lightning markdown twin](/tools/lightning-ai-pytorch-lightning/alternatives.md), [DeepLearningExamples markdown twin](/tools/nvidia-deeplearningexamples/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-nvidia-deeplearningexamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pytorch-lightning or DeepLearningExamples? pytorch-lightning: Very active. DeepLearningExamples: 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 DeepLearningExamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pytorch-lightning trust report](/tools/lightning-ai-pytorch-lightning/trust); [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/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/_