Comparison
lightly-train vs SAM-Adapter-PyTorch
Verdict
Pick lightly-train if lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation; pick SAM-Adapter-PyTorch if sAM-Adapter-PyTorch facilitates downstream task adaptation for SAM through adapters and prompts, specialized in camouflaged object detection with PyTorch.
Markdown twin · lightly-train alternatives · SAM-Adapter-PyTorch alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | lightly-train | SAM-Adapter-PyTorch |
|---|---|---|
| Maintenance | Very active (5d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (125d since push) As of Sep 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- lightly-train
- All-in-one training for vision models: pretraining, fine-tuning, distillation.
- SAM-Adapter-PyTorch
- Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Stars
- lightly-train
- 1.7k
- SAM-Adapter-PyTorch
- 1.6k
Forks
- lightly-train
- 116
- SAM-Adapter-PyTorch
- 124
Open issues
- lightly-train
- 82
- SAM-Adapter-PyTorch
- 66
Language
- lightly-train
- Python
- SAM-Adapter-PyTorch
- Python
Adopt for
- lightly-train
- Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation.
- SAM-Adapter-PyTorch
- SAM-Adapter-PyTorch facilitates downstream task adaptation for SAM through adapters and prompts, specialized in camouflaged object detection with PyTorch.
Persona
- lightly-train
- -
- SAM-Adapter-PyTorch
- -
Runtime
- lightly-train
- -
- SAM-Adapter-PyTorch
- -
License
- lightly-train
- AGPL-3.0
- SAM-Adapter-PyTorch
- MIT
Last pushed
- lightly-train
- Sep 14, 2026
- SAM-Adapter-PyTorch
- May 17, 2026
Categories
- lightly-train
- Computer Vision, Model Training
- SAM-Adapter-PyTorch
- Computer Vision, Model Training
Trust and health
Maintenance
- lightly-train
- Very active (96%)
- SAM-Adapter-PyTorch
- Slowing (36%)
Days since push
- lightly-train
- 5d
- SAM-Adapter-PyTorch
- 125d
Open issues (now)
- lightly-train
- 82
- SAM-Adapter-PyTorch
- 66
Stars delta
- lightly-train
- +58 (30d)
- SAM-Adapter-PyTorch
- +10 (30d)
Open issues delta
- lightly-train
- +19 (30d)
- SAM-Adapter-PyTorch
- 0 (30d)
Owner type
- lightly-train
- Organization
- SAM-Adapter-PyTorch
- User
Full report
- lightly-train
- Trust report
- SAM-Adapter-PyTorch
- Trust report
Shared compatibility
- Python · lightly-train: Python runtime · SAM-Adapter-PyTorch: Python runtime
Choose lightly-train if…
- License: lightly-train is AGPL-3.0, SAM-Adapter-PyTorch is MIT.
- Requirements: Min 8 GB RAM.
- Tags unique to lightly-train: computer-vision, contrastive-learning, deep-learning, depth-estimation.
- Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation.
When NOT to use lightly-train
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose SAM-Adapter-PyTorch if…
- License: SAM-Adapter-PyTorch is MIT, lightly-train is AGPL-3.0.
- Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection.
- Need to adapt SAM to specific tasks like detecting camouflaged objects
When NOT to use SAM-Adapter-PyTorch
- Looking for a toolset that primarily focuses on training from scratch rather than adapting pre-trained models
- Interested in frameworks other than PyTorch
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lightly-ai/lightly-train) · observed Sep 20, 2026
- GitHub forks (lightly-ai/lightly-train) · observed Sep 20, 2026
- Last push (lightly-ai/lightly-train) · observed Sep 14, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tianrun-chen/SAM-Adapter-PyTorch) · observed Sep 20, 2026
- GitHub forks (tianrun-chen/SAM-Adapter-PyTorch) · observed Sep 20, 2026
- Last push (tianrun-chen/SAM-Adapter-PyTorch) · observed May 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lightly-train 1.7k · SAM-Adapter-PyTorch 1.6k (synced Sep 20, 2026).
Common questions
- What is the difference between lightly-train and SAM-Adapter-PyTorch?
- lightly-train: All-in-one training for vision models: pretraining, fine-tuning, distillation.. SAM-Adapter-PyTorch: Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts. See the comparison table for live GitHub stats and shared categories.
- When should I choose lightly-train over SAM-Adapter-PyTorch?
- Choose lightly-train over SAM-Adapter-PyTorch when License: lightly-train is AGPL-3.0, SAM-Adapter-PyTorch is MIT; Requirements: Min 8 GB RAM; Tags unique to lightly-train: computer-vision, contrastive-learning, deep-learning, depth-estimation; Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation.
- When should I choose SAM-Adapter-PyTorch over lightly-train?
- Choose SAM-Adapter-PyTorch over lightly-train when License: SAM-Adapter-PyTorch is MIT, lightly-train is AGPL-3.0; Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection; Need to adapt SAM to specific tasks like detecting camouflaged objects.
- When should I avoid lightly-train?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid SAM-Adapter-PyTorch?
- Looking for a toolset that primarily focuses on training from scratch rather than adapting pre-trained models Interested in frameworks other than PyTorch
- Is lightly-train or SAM-Adapter-PyTorch more popular on GitHub?
- lightly-train has more GitHub stars (1,680 vs 1,554). Stars measure visibility, not whether either tool fits your constraints.
- Are lightly-train and SAM-Adapter-PyTorch open source?
- Yes - both are open-source projects on GitHub (lightly-train: AGPL-3.0, SAM-Adapter-PyTorch: MIT).
- Where can I find alternatives to lightly-train or SAM-Adapter-PyTorch?
- GraphCanon lists graph-backed alternatives at lightly-train alternatives and SAM-Adapter-PyTorch alternatives (lightly-train markdown twin, SAM-Adapter-PyTorch 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, lightly-train or SAM-Adapter-PyTorch?
- lightly-train: Very active. SAM-Adapter-PyTorch: Slowing. 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 lightly-train and SAM-Adapter-PyTorch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lightly-train trust report; SAM-Adapter-PyTorch trust report.