Comparison
pytorch-lightning vs DeepLearningExamples
Verdict
Pick pytorch-lightning if pyTorch Lightning scales PyTorch models across GPUs with minimal code changes; pick DeepLearningExamples if deepLearningExamples offers state-of-the-art deep learning scripts optimized for NVIDIA GPUs, with a focus on reproducibility and performance. It supports a wide range of applications from computer vision to speech and N.
Markdown twin · pytorch-lightning alternatives · DeepLearningExamples alternatives
GraphCanon updated Sep 27, 2026
14views this month
vs
Trust & integrity
| Signal | pytorch-lightning | DeepLearningExamples |
|---|---|---|
| Maintenance | Very active (5d since push) As of Sep 27, 2026 · github_public_v1 | Dormant (766d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 27, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- 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 easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure
Stars
- pytorch-lightning
- 31k
- DeepLearningExamples
- 15k
Forks
- pytorch-lightning
- 3.8k
- DeepLearningExamples
- 3.4k
Open issues
- pytorch-lightning
- 1.1k
- DeepLearningExamples
- 321
Language
- pytorch-lightning
- Python
- DeepLearningExamples
- Jupyter Notebook
Adopt for
- pytorch-lightning
- PyTorch Lightning scales PyTorch models across GPUs with minimal code changes.
- DeepLearningExamples
- DeepLearningExamples offers state-of-the-art deep learning scripts optimized for NVIDIA GPUs, with a focus on reproducibility and performance. It supports a wide range of applications from computer vision to speech and N
Persona
- pytorch-lightning
- -
- DeepLearningExamples
- -
Runtime
- pytorch-lightning
- -
- DeepLearningExamples
- -
License
- pytorch-lightning
- Apache-2.0
- DeepLearningExamples
- The license information for DeepLearningExamples is unknown.
Last pushed
- pytorch-lightning
- Sep 21, 2026
- DeepLearningExamples
- Aug 12, 2024
Categories
- pytorch-lightning
- Inference & Serving, Model Training
- DeepLearningExamples
- Computer Vision, Inference & Serving, Model Training
Trust and health
Maintenance
- pytorch-lightning
- Very active (96%)
- DeepLearningExamples
- Dormant (18%)
Days since push
- pytorch-lightning
- 5d
- DeepLearningExamples
- 766d
Open issues (now)
- pytorch-lightning
- 1.1k
- DeepLearningExamples
- 321
Stars delta
- pytorch-lightning
- +96 (30d)
- DeepLearningExamples
- +3 (30d)
Open issues delta
- pytorch-lightning
- +30 (30d)
- DeepLearningExamples
- 0 (30d)
OSV dependency advisories
- pytorch-lightning
- No published findings from this source as of 2026-07-11
- DeepLearningExamples
- No lockfile (source not queried)
Full report
- pytorch-lightning
- Trust report
- DeepLearningExamples
- Trust report
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
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
Choose DeepLearningExamples if…
- DeepLearningExamples is primarily Jupyter Notebook; pytorch-lightning is Python.
- Requirements: Requires NVIDIA GPUs for optimal performance.; Uses NVIDIA's CUDA-X software stack, including libraries like cuDNN, NCCL, and cuBLAS..
- Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large-language-models.
- Also covers Computer Vision.
- When you need deep learning scripts optimized for NVIDIA GPUs, including Volta, Turing, and Ampere architectures, for tasks like computer vision, NLP, and speech recognition.
When NOT to use DeepLearningExamples
- If your infrastructure does not include NVIDIA GPUs, as the scripts are specifically optimized for NVIDIA hardware.
- If you are looking for a tool that supports a wider range of hardware or non-NVIDIA GPU environments.
- When you need a solution that is not tied to specific frameworks like PyTorch, TensorFlow, or PaddlePaddle, as DeepLearningExamples focuses on these frameworks.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Lightning-AI/pytorch-lightning) · observed Sep 27, 2026
- GitHub forks (Lightning-AI/pytorch-lightning) · observed Sep 27, 2026
- Last push (Lightning-AI/pytorch-lightning) · observed Sep 21, 2026
- License file (Apache-2.0) · observed Sep 27, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVIDIA/DeepLearningExamples) · observed Sep 20, 2026
- GitHub forks (NVIDIA/DeepLearningExamples) · observed Sep 20, 2026
- Last push (NVIDIA/DeepLearningExamples) · observed Aug 12, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: pytorch-lightning 31k · DeepLearningExamples 15k (synced Sep 27, 2026).
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 easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure. 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; Requirements: Requires NVIDIA GPUs for optimal performance.; Uses NVIDIA's CUDA-X software stack, including libraries like cuDNN, NCCL, and cuBLAS.; Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large-language-models; Also covers Computer Vision; When you need deep learning scripts optimized for NVIDIA GPUs, including Volta, Turing, and Ampere architectures, for tasks like computer vision, NLP, and speech recognition.
- 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?
- If your infrastructure does not include NVIDIA GPUs, as the scripts are specifically optimized for NVIDIA hardware. If you are looking for a tool that supports a wider range of hardware or non-NVIDIA GPU environments. When you need a solution that is not tied to specific frameworks like PyTorch, TensorFlow, or PaddlePaddle, as DeepLearningExamples focuses on these frameworks.
- Is pytorch-lightning or DeepLearningExamples more popular on GitHub?
- pytorch-lightning has more GitHub stars (31,363 vs 14,847). 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 and DeepLearningExamples alternatives (pytorch-lightning 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, 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; DeepLearningExamples trust report.