--- title: "netron vs DeepLearningExamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lutzroeder-netron-vs-nvidia-deeplearningexamples" tools: ["lutzroeder-netron", "nvidia-deeplearningexamples"] --- # netron vs DeepLearningExamples *GraphCanon updated Aug 17, 2026* ## Verdict Pick netron if netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX; pick DeepLearningExamples if curated facts for DeepLearningExamples, tailored to its unique features and offerings. [netron](https://netron.app) reports 33k GitHub stars, 3.2k forks, and 18 open issues, last pushed Aug 2, 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 [netron's repository](https://github.com/lutzroeder/netron) and [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples). | | [netron](/tools/lutzroeder-netron.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Tagline | Visualizer for neural network, deep learning and machine learning models | State-of-the-Art Deep Learning scripts for various applications | | Stars | 33,302 | 14,844 | | Forks | 3,175 | 3,408 | | Open issues | 18 | 321 | | Language | JavaScript | Jupyter Notebook | | Adopt for | Netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX. | Curated facts for DeepLearningExamples, tailored to its unique features and offerings. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [netron](/tools/lutzroeder-netron.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 734d | | Open issues (now) | 18 | 321 | | Stars delta | Unknown | +14 (30d) | | Open issues delta | Unknown | -1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/lutzroeder-netron/trust.md) | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | ## Decision facts: netron - **Adopt for:** Netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX. ## Decision facts: DeepLearningExamples - **Adopt for:** Curated facts for DeepLearningExamples, tailored to its unique features and offerings. ## Choose when ### Choose netron if… - netron is primarily JavaScript; DeepLearningExamples is Jupyter Notebook. - Tags unique to netron: ai, coreml, deeplearning, keras. - When you need to visualize models from various deep learning frameworks like TensorFlow, PyTorch, or ONNX in a single tool ### Choose DeepLearningExamples if… - DeepLearningExamples is primarily Jupyter Notebook; netron is JavaScript. - 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 netron - In environments where access to the web is restricted and no offline capability of Netron can be utilized - When specific advanced visualization features are required that may not be supported by Netron yet implemented in a competitor's tool ## 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 netron and DeepLearningExamples? netron: Visualizer for neural network, deep learning and machine learning models. 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 netron over DeepLearningExamples? Choose netron over DeepLearningExamples when netron is primarily JavaScript; DeepLearningExamples is Jupyter Notebook; Tags unique to netron: ai, coreml, deeplearning, keras; When you need to visualize models from various deep learning frameworks like TensorFlow, PyTorch, or ONNX in a single tool. ### When should I choose DeepLearningExamples over netron? Choose DeepLearningExamples over netron when DeepLearningExamples is primarily Jupyter Notebook; netron is JavaScript; 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 netron? In environments where access to the web is restricted and no offline capability of Netron can be utilized When specific advanced visualization features are required that may not be supported by Netron yet implemented in a competitor's tool ### 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 netron or DeepLearningExamples more popular on GitHub? netron has more GitHub stars (33,302 vs 14,844). Stars measure visibility, not whether either tool fits your constraints. ### Are netron and DeepLearningExamples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to netron or DeepLearningExamples? GraphCanon lists graph-backed alternatives at [netron alternatives](/tools/lutzroeder-netron/alternatives) and [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) ([netron markdown twin](/tools/lutzroeder-netron/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/lutzroeder-netron-vs-nvidia-deeplearningexamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, netron or DeepLearningExamples? netron: 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 netron and DeepLearningExamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [netron trust report](/tools/lutzroeder-netron/trust); [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lutzroeder-netron`](/api/graphcanon/graph?tool=lutzroeder-netron) - 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/_