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 3w
vs
Trust & integrity
| Signal | lightly-train | SAM-Adapter-PyTorch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Steady (68d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- 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
- 1.6k
- SAM-Adapter-PyTorch
- 1.5k
Forks
- lightly-train
- 91
- SAM-Adapter-PyTorch
- 124
Open issues
- lightly-train
- 63
- 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
- Jul 22, 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
- Steady (60%)
Days since push
- lightly-train
- 0d
- SAM-Adapter-PyTorch
- 68d
Open issues (now)
- lightly-train
- 63
- SAM-Adapter-PyTorch
- 66
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 Jul 23, 2026
- GitHub forks (lightly-ai/lightly-train) · observed Jul 23, 2026
- Last push (lightly-ai/lightly-train) · observed Jul 22, 2026
- License file (AGPL-3.0) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tianrun-chen/SAM-Adapter-PyTorch) · observed Jul 24, 2026
- GitHub forks (tianrun-chen/SAM-Adapter-PyTorch) · observed Jul 24, 2026
- Last push (tianrun-chen/SAM-Adapter-PyTorch) · observed May 17, 2026
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lightly-train 1.6k · SAM-Adapter-PyTorch 1.5k (synced Jul 23, 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 (1,622 vs 1,544). 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: Steady. 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.