Comparison
ailia-models vs lightly
Verdict
Pick ailia-models if pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing; pick lightly if lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets.
Markdown twin · ailia-models alternatives · lightly alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | ailia-models | lightly |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 3d · 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
- ailia-models
- Repository of pre-trained AI models for ailia SDK
- lightly
- A python library for self-supervised learning on images.
Stars
- ailia-models
- 2.4k
- lightly
- 3.8k
Forks
- ailia-models
- 363
- lightly
- 354
Open issues
- ailia-models
- 321
- lightly
- 97
Language
- ailia-models
- Python
- lightly
- Python
Adopt for
- ailia-models
- Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing.
- lightly
- Lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets.
Persona
- ailia-models
- -
- lightly
- -
Runtime
- ailia-models
- -
- lightly
- -
License
- ailia-models
- -
- lightly
- MIT
Last pushed
- ailia-models
- Aug 21, 2026
- lightly
- Aug 21, 2026
Categories
- ailia-models
- Computer Vision, Model Training, Speech & Audio
- lightly
- Computer Vision, Model Training
Trust and health
Open issues (now)
- ailia-models
- 321
- lightly
- 97
Stars delta
- ailia-models
- +8 (30d)
- lightly
- +11 (30d)
Open issues delta
- ailia-models
- +5 (30d)
- lightly
- +4 (30d)
Full report
- ailia-models
- Trust report
- lightly
- Trust report
Shared compatibility
- Python · ailia-models: Python runtime · lightly: Python runtime
Choose ailia-models if…
- Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal.
- Also covers Speech & Audio.
- When developing apps that integrate with the ailia SDK
When NOT to use ailia-models
- If your project does not align with ailia SDK or its specific model categories
- When you require customization beyond what is offered by pre-trained models in this repository
Choose lightly if…
- Tags unique to lightly: computer-vision, contrastive-learning, self-supervised-learning.
- You need to enhance model performance with unlabeled image data.
- More GitHub stars (3.8k vs 2.4k) - visibility, not fit.
When NOT to use lightly
- Labeled datasets are abundant and of high quality for your use case.
- Project requirements strictly limit the use of Python-based libraries.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ailia-ai/ailia-models) · observed Aug 22, 2026
- GitHub forks (ailia-ai/ailia-models) · observed Aug 22, 2026
- Last push (ailia-ai/ailia-models) · observed Aug 21, 2026
- License file (unknown) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lightly-ai/lightly) · observed Aug 22, 2026
- GitHub forks (lightly-ai/lightly) · observed Aug 22, 2026
- Last push (lightly-ai/lightly) · observed Aug 21, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ailia-models 2.4k · lightly 3.8k (synced Aug 22, 2026).
Common questions
- What is the difference between ailia-models and lightly?
- ailia-models: Repository of pre-trained AI models for ailia SDK. lightly: A python library for self-supervised learning on images.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ailia-models over lightly?
- Choose ailia-models over lightly when Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Speech & Audio; When developing apps that integrate with the ailia SDK.
- When should I choose lightly over ailia-models?
- Choose lightly over ailia-models when Tags unique to lightly: computer-vision, contrastive-learning, self-supervised-learning; You need to enhance model performance with unlabeled image data; More GitHub stars (3.8k vs 2.4k) - visibility, not fit.
- When should I avoid ailia-models?
- If your project does not align with ailia SDK or its specific model categories When you require customization beyond what is offered by pre-trained models in this repository
- When should I avoid lightly?
- Labeled datasets are abundant and of high quality for your use case. Project requirements strictly limit the use of Python-based libraries.
- Is ailia-models or lightly more popular on GitHub?
- lightly has more GitHub stars (3,795 vs 2,365). Stars measure visibility, not whether either tool fits your constraints.
- Are ailia-models and lightly open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ailia-models or lightly?
- GraphCanon lists graph-backed alternatives at ailia-models alternatives and lightly alternatives (ailia-models markdown twin, lightly 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, ailia-models or lightly?
- ailia-models: Very active. lightly: Very active. 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 ailia-models and lightly?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ailia-models trust report; lightly trust report.