Comparison
netron vs DeepLearningExamples
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.
Markdown twin · netron alternatives · DeepLearningExamples alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | netron | DeepLearningExamples |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (734d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 6d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- netron
- Visualizer for neural network, deep learning and machine learning models
- DeepLearningExamples
- State-of-the-Art Deep Learning scripts for various applications
Stars
- netron
- 33k
- DeepLearningExamples
- 15k
Forks
- netron
- 3.2k
- DeepLearningExamples
- 3.4k
Open issues
- netron
- 18
- DeepLearningExamples
- 321
Language
- netron
- JavaScript
- DeepLearningExamples
- Jupyter Notebook
Adopt for
- netron
- Netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX.
- DeepLearningExamples
- Curated facts for DeepLearningExamples, tailored to its unique features and offerings.
Persona
- netron
- -
- DeepLearningExamples
- -
Runtime
- netron
- -
- DeepLearningExamples
- -
License
- netron
- MIT
- DeepLearningExamples
- -
Last pushed
- netron
- Aug 2, 2026
- DeepLearningExamples
- Aug 12, 2024
Categories
- netron
- Inference & Serving, Model Training
- DeepLearningExamples
- Inference & Serving, Model Training
Trust and health
Maintenance
- netron
- Very active (96%)
- DeepLearningExamples
- Dormant (18%)
Days since push
- netron
- 0d
- DeepLearningExamples
- 734d
Open issues (now)
- netron
- 18
- DeepLearningExamples
- 321
Stars delta
- netron
- Unknown
- DeepLearningExamples
- +14 (30d)
Open issues delta
- netron
- Unknown
- DeepLearningExamples
- -1 (30d)
Owner type
- netron
- User
- DeepLearningExamples
- Organization
OSV dependency advisories
- netron
- Published findings
- DeepLearningExamples
- No lockfile (source not queried)
Full report
- netron
- Trust report
- DeepLearningExamples
- Trust report
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
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
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lutzroeder/netron) · observed Aug 3, 2026
- GitHub forks (lutzroeder/netron) · observed Aug 3, 2026
- Last push (lutzroeder/netron) · observed Aug 2, 2026
- License file (MIT) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVIDIA/DeepLearningExamples) · observed Aug 17, 2026
- GitHub forks (NVIDIA/DeepLearningExamples) · observed Aug 17, 2026
- Last push (NVIDIA/DeepLearningExamples) · observed Aug 12, 2024
- License file (unknown) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: netron 33k · DeepLearningExamples 15k (synced Aug 3, 2026).
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 and DeepLearningExamples alternatives (netron markdown twin, DeepLearningExamples markdown twin), 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 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; DeepLearningExamples trust report.