--- title: "archai vs DeepLearningExamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-archai-vs-nvidia-deeplearningexamples" tools: ["microsoft-archai", "nvidia-deeplearningexamples"] --- # archai vs DeepLearningExamples *GraphCanon updated Jul 12, 2026* ## Verdict Pick archai when archai is primarily Python; DeepLearningExamples is Jupyter Notebook; pick DeepLearningExamples when deepLearningExamples is primarily Jupyter Notebook; archai is Python. [archai](https://microsoft.github.io/archai) reports 485 GitHub stars, 93 forks, and 4 open issues, last pushed Nov 24, 2025. [DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples) has 15k stars, 3.4k forks, and 323 open issues, last pushed Aug 12, 2024. Figures are from public GitHub metadata via [archai's repository](https://github.com/microsoft/archai) and [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples). | | [archai](/tools/microsoft-archai.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Tagline | Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research. | State-of-the-Art Deep Learning scripts for various applications | | Stars | 485 | 14,830 | | Forks | 93 | 3,409 | | Open issues | 4 | 323 | | Language | Python | Jupyter Notebook | | Adopt for | - | Curated facts for DeepLearningExamples, tailored to its unique features and offerings. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Model Training | Model Training, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [archai](/tools/microsoft-archai.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 229d | 697d | | Open issues (now) | 4 | 323 | | Full report | [trust report](/tools/microsoft-archai/trust.md) | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | ## Decision facts: DeepLearningExamples - **Adopt for:** Curated facts for DeepLearningExamples, tailored to its unique features and offerings. ## Choose when ### Choose archai if… - archai is primarily Python; DeepLearningExamples is Jupyter Notebook. - Tags unique to archai: model-compression, automl, nas, machine-learning. - More recently updated (last pushed Nov 24, 2025). ### Choose DeepLearningExamples if… - DeepLearningExamples is primarily Jupyter Notebook; archai is Python. - Tags unique to DeepLearningExamples: mxnet, nlp, large-language-models, drug-discovery. - Also covers Inference & Serving. - 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 archai - Last GitHub push was 230 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on archai. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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原 ## Common questions ### What is the difference between archai and DeepLearningExamples? archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. 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 archai over DeepLearningExamples? Choose archai over DeepLearningExamples when archai is primarily Python; DeepLearningExamples is Jupyter Notebook; Tags unique to archai: model-compression, automl, nas, machine-learning; More recently updated (last pushed Nov 24, 2025). ### When should I choose DeepLearningExamples over archai? Choose DeepLearningExamples over archai when DeepLearningExamples is primarily Jupyter Notebook; archai is Python; Tags unique to DeepLearningExamples: mxnet, nlp, large-language-models, drug-discovery; Also covers Inference & Serving; 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 archai? Last GitHub push was 230 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on archai. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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原 ### Is archai or DeepLearningExamples more popular on GitHub? DeepLearningExamples has more GitHub stars (14,830 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are archai and DeepLearningExamples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to archai or DeepLearningExamples? GraphCanon lists graph-backed alternatives at [archai alternatives](/tools/microsoft-archai/alternatives) and [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) ([archai markdown twin](/tools/microsoft-archai/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/microsoft-archai-vs-nvidia-deeplearningexamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, archai or DeepLearningExamples? archai: Slowing. 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 archai and DeepLearningExamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [archai trust report](/tools/microsoft-archai/trust); [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-archai`](/api/graphcanon/graph?tool=microsoft-archai) - 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/_