Comparison
ailia-models vs hub
Verdict
Pick ailia-models if pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing; pick hub if hub is specifically tailored to Python developers who wish to incorporate transfer learning into their TensorFlow projects with pre-trained model components for applications such as image classification.
Markdown twin · ailia-models alternatives · hub alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | ailia-models | hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Dormant (581d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · 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
- hub
- A library for transfer learning by reusing parts of TensorFlow models.
Stars
- ailia-models
- 2.4k
- hub
- 3.5k
Forks
- ailia-models
- 363
- hub
- 1.6k
Open issues
- ailia-models
- 321
- hub
- 6
Language
- ailia-models
- Python
- hub
- Python
Adopt for
- ailia-models
- Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing.
- hub
- hub is specifically tailored to Python developers who wish to incorporate transfer learning into their TensorFlow projects with pre-trained model components for applications such as image classification.
Persona
- ailia-models
- -
- hub
- -
Runtime
- ailia-models
- -
- hub
- -
License
- ailia-models
- -
- hub
- hub is licensed under Apache-2.0, allowing for broad use in both open source and commercial projects.
Last pushed
- ailia-models
- Aug 21, 2026
- hub
- Jan 17, 2025
Categories
- ailia-models
- Computer Vision, Model Training, Speech & Audio
- hub
- Data & Retrieval, Model Training
Trust and health
Maintenance
- ailia-models
- Very active (96%)
- hub
- Dormant (18%)
Days since push
- ailia-models
- 0d
- hub
- 581d
Open issues (now)
- ailia-models
- 321
- hub
- 6
Stars delta
- ailia-models
- +8 (30d)
- hub
- +1 (30d)
Open issues delta
- ailia-models
- +5 (30d)
- hub
- -5 (30d)
Full report
- ailia-models
- Trust report
- hub
- Trust report
Choose ailia-models if…
- Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal.
- Also covers Computer Vision, 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 hub if…
- Pricing: The core functionalities of hub are free to use with an open-source license; however, additional services or enterprise support might incur costs..
- Requirements: Requires a Python environment and TensorFlow installation to operate..
- Tags unique to hub: image-classification, machine-learning, ml, python.
- Also covers Data & Retrieval.
- When you need to leverage existing TensorFlow models and integrate specific parts of them for tasks like embedding or image-classification without retraining the entire model from scratch.
When NOT to use hub
- When working strictly with non-TensorFlow frameworks such as PyTorch or MXNet, as hub is built specifically for enhancing and reusing models within TensorFlow.
- If your project requires a more generalized approach to machine-learning without reliance on pre-existing model components, focusing instead on training models from the ground up.
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 (tensorflow/hub) · observed Aug 22, 2026
- GitHub forks (tensorflow/hub) · observed Aug 22, 2026
- Last push (tensorflow/hub) · observed Jan 17, 2025
- License file (Apache-2.0) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ailia-models 2.4k · hub 3.5k (synced Aug 22, 2026).
Common questions
- What is the difference between ailia-models and hub?
- ailia-models: Repository of pre-trained AI models for ailia SDK. hub: A library for transfer learning by reusing parts of TensorFlow models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ailia-models over hub?
- Choose ailia-models over hub when Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Computer Vision, Speech & Audio; When developing apps that integrate with the ailia SDK.
- When should I choose hub over ailia-models?
- Choose hub over ailia-models when Pricing: The core functionalities of hub are free to use with an open-source license; however, additional services or enterprise support might incur costs.; Requirements: Requires a Python environment and TensorFlow installation to operate.; Tags unique to hub: image-classification, machine-learning, ml, python; Also covers Data & Retrieval; When you need to leverage existing TensorFlow models and integrate specific parts of them for tasks like embedding or image-classification without retraining the entire model from scratch.
- 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 hub?
- When working strictly with non-TensorFlow frameworks such as PyTorch or MXNet, as hub is built specifically for enhancing and reusing models within TensorFlow. If your project requires a more generalized approach to machine-learning without reliance on pre-existing model components, focusing instead on training models from the ground up.
- Is ailia-models or hub more popular on GitHub?
- hub has more GitHub stars (3,523 vs 2,365). Stars measure visibility, not whether either tool fits your constraints.
- Are ailia-models and hub open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ailia-models or hub?
- GraphCanon lists graph-backed alternatives at ailia-models alternatives and hub alternatives (ailia-models markdown twin, hub 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 hub?
- ailia-models: Very active. hub: 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 ailia-models and hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ailia-models trust report; hub trust report.