--- title: "starcoder vs DeepLearningExamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-starcoder-vs-nvidia-deeplearningexamples" tools: ["bigcode-project-starcoder", "nvidia-deeplearningexamples"] --- # starcoder vs DeepLearningExamples *GraphCanon updated Aug 17, 2026* ## Verdict Pick starcoder if starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes; pick DeepLearningExamples if curated facts for DeepLearningExamples, tailored to its unique features and offerings. [starcoder](https://github.com/bigcode-project/starcoder) reports 7.5k GitHub stars, 525 forks, and 103 open issues, last pushed Feb 27, 2024. [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 [starcoder's repository](https://github.com/bigcode-project/starcoder) and [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples). | | [starcoder](/tools/bigcode-project-starcoder.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Tagline | Home of StarCoder: fine-tuning & inference! | State-of-the-Art Deep Learning scripts for various applications | | Stars | 7,503 | 14,844 | | Forks | 525 | 3,408 | | Open issues | 103 | 321 | | Language | Python | Jupyter Notebook | | Adopt for | Starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes. | 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._ | | [starcoder](/tools/bigcode-project-starcoder.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Days since push | 890d | 734d | | Open issues (now) | 103 | 321 | | Stars delta | Unknown | +14 (30d) | | Open issues delta | Unknown | -1 (30d) | | Full report | [trust report](/tools/bigcode-project-starcoder/trust.md) | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | ## Decision facts: starcoder - **Adopt for:** Starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes. ## Decision facts: DeepLearningExamples - **Adopt for:** Curated facts for DeepLearningExamples, tailored to its unique features and offerings. ## Choose when ### Choose starcoder if… - starcoder is primarily Python; DeepLearningExamples is Jupyter Notebook. - Tags unique to starcoder: conda, fine-tuning, inference, pip. - When you need to perform inference tasks on a model that can be managed within hardware constraints such as FP16 or BF16 formats in about 30GB of RAM ### Choose DeepLearningExamples if… - DeepLearningExamples is primarily Jupyter Notebook; starcoder is Python. - Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting. - 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 starcoder - Avoid if your environment lacks resources and you cannot meet the minimum memory requirement even in an 8-bit precision mode which needs under 20GB RAM - If you seek a tool that does not rely heavily on setup instructions guided by specific frameworks such as Hugging Face Transformers or PyTorch ## 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 starcoder and DeepLearningExamples? starcoder: Home of StarCoder: fine-tuning & inference!. 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 starcoder over DeepLearningExamples? Choose starcoder over DeepLearningExamples when starcoder is primarily Python; DeepLearningExamples is Jupyter Notebook; Tags unique to starcoder: conda, fine-tuning, inference, pip; When you need to perform inference tasks on a model that can be managed within hardware constraints such as FP16 or BF16 formats in about 30GB of RAM. ### When should I choose DeepLearningExamples over starcoder? Choose DeepLearningExamples over starcoder when DeepLearningExamples is primarily Jupyter Notebook; starcoder is Python; Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting; 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 starcoder? Avoid if your environment lacks resources and you cannot meet the minimum memory requirement even in an 8-bit precision mode which needs under 20GB RAM If you seek a tool that does not rely heavily on setup instructions guided by specific frameworks such as Hugging Face Transformers or PyTorch ### 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 starcoder or DeepLearningExamples more popular on GitHub? DeepLearningExamples has more GitHub stars (14,844 vs 7,503). Stars measure visibility, not whether either tool fits your constraints. ### Are starcoder and DeepLearningExamples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to starcoder or DeepLearningExamples? GraphCanon lists graph-backed alternatives at [starcoder alternatives](/tools/bigcode-project-starcoder/alternatives) and [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) ([starcoder markdown twin](/tools/bigcode-project-starcoder/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/bigcode-project-starcoder-vs-nvidia-deeplearningexamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, starcoder or DeepLearningExamples? starcoder: Dormant. 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 starcoder and DeepLearningExamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [starcoder trust report](/tools/bigcode-project-starcoder/trust); [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-starcoder`](/api/graphcanon/graph?tool=bigcode-project-starcoder) - 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/_