Comparison
align-anything vs SAM-Adapter-PyTorch
Verdict
Pick align-anything if align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO; 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 · align-anything alternatives · SAM-Adapter-PyTorch alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | align-anything | SAM-Adapter-PyTorch |
|---|---|---|
| Maintenance | Slowing (263d since push) As of 3d · github_public_v1 | Steady (68d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · 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
- align-anything
- Training All-modality Model with Feedback
- SAM-Adapter-PyTorch
- Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Stars
- align-anything
- 4.7k
- SAM-Adapter-PyTorch
- 1.5k
Forks
- align-anything
- 505
- SAM-Adapter-PyTorch
- 124
Open issues
- align-anything
- 32
- SAM-Adapter-PyTorch
- 66
Language
- align-anything
- Python
- SAM-Adapter-PyTorch
- Python
Adopt for
- align-anything
- Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO.
- SAM-Adapter-PyTorch
- SAM-Adapter-PyTorch facilitates downstream task adaptation for SAM through adapters and prompts, specialized in camouflaged object detection with PyTorch.
Persona
- align-anything
- -
- SAM-Adapter-PyTorch
- -
Runtime
- align-anything
- -
- SAM-Adapter-PyTorch
- -
License
- align-anything
- This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved.
- SAM-Adapter-PyTorch
- MIT
Last pushed
- align-anything
- Nov 27, 2025
- SAM-Adapter-PyTorch
- May 17, 2026
Categories
- align-anything
- LLM Frameworks, Model Training
- SAM-Adapter-PyTorch
- Computer Vision, Model Training
Trust and health
Maintenance
- align-anything
- Slowing (36%)
- SAM-Adapter-PyTorch
- Steady (60%)
Days since push
- align-anything
- 263d
- SAM-Adapter-PyTorch
- 68d
Open issues (now)
- align-anything
- 32
- SAM-Adapter-PyTorch
- 66
Stars delta
- align-anything
- +4 (30d)
- SAM-Adapter-PyTorch
- Unknown
Open issues delta
- align-anything
- 0 (30d)
- SAM-Adapter-PyTorch
- Unknown
Owner type
- align-anything
- Organization
- SAM-Adapter-PyTorch
- User
Full report
- align-anything
- Trust report
- SAM-Adapter-PyTorch
- Trust report
Choose align-anything if…
- License: align-anything is Apache-2.0, SAM-Adapter-PyTorch is MIT.
- Requirements: Python execution environment.
- Tags unique to align-anything: chameleon, dpo, large language models, multimodal.
- Also covers LLM Frameworks.
- align-anything ships Docker support for self-hosted deployment.
- - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
When NOT to use align-anything
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO.
- - For projects that do not require support for multiple data modalities.
Choose SAM-Adapter-PyTorch if…
- License: SAM-Adapter-PyTorch is MIT, align-anything is Apache-2.0.
- Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection.
- Also covers Computer Vision.
- 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 (PKU-Alignment/align-anything) · observed Aug 17, 2026
- GitHub forks (PKU-Alignment/align-anything) · observed Aug 17, 2026
- Last push (PKU-Alignment/align-anything) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Aug 17, 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: align-anything 4.7k · SAM-Adapter-PyTorch 1.5k (synced Aug 17, 2026).
Common questions
- What is the difference between align-anything and SAM-Adapter-PyTorch?
- align-anything: Training All-modality Model with Feedback. 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 align-anything over SAM-Adapter-PyTorch?
- Choose align-anything over SAM-Adapter-PyTorch when License: align-anything is Apache-2.0, SAM-Adapter-PyTorch is MIT; Requirements: Python execution environment; Tags unique to align-anything: chameleon, dpo, large language models, multimodal; Also covers LLM Frameworks; align-anything ships Docker support for self-hosted deployment; - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
- When should I choose SAM-Adapter-PyTorch over align-anything?
- Choose SAM-Adapter-PyTorch over align-anything when License: SAM-Adapter-PyTorch is MIT, align-anything is Apache-2.0; Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection; Also covers Computer Vision; Need to adapt SAM to specific tasks like detecting camouflaged objects.
- When should I avoid align-anything?
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - For projects that do not require support for multiple data modalities.
- 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 align-anything or SAM-Adapter-PyTorch more popular on GitHub?
- align-anything has more GitHub stars (4,666 vs 1,544). Stars measure visibility, not whether either tool fits your constraints.
- Are align-anything and SAM-Adapter-PyTorch open source?
- Yes - both are open-source projects on GitHub (align-anything: Apache-2.0, SAM-Adapter-PyTorch: MIT).
- Where can I find alternatives to align-anything or SAM-Adapter-PyTorch?
- GraphCanon lists graph-backed alternatives at align-anything alternatives and SAM-Adapter-PyTorch alternatives (align-anything 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, align-anything or SAM-Adapter-PyTorch?
- align-anything: Slowing. 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 align-anything and SAM-Adapter-PyTorch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: align-anything trust report; SAM-Adapter-PyTorch trust report.