Comparison
ailia-models vs mmengine
Verdict
Pick ailia-models if pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing; pick mmengine if mMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python.
Markdown twin · ailia-models alternatives · mmengine alternatives
GraphCanon updated Sep 22, 2026
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Trust & integrity
| Signal | ailia-models | mmengine |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 20, 2026 · github_public_v1 | Steady (70d since push) As of Sep 22, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 22, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 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
- ailia-models
- Repository of pre-trained AI models for ailia SDK
- mmengine
- OpenMMLab Foundational Library for Training Deep Learning Models
Stars
- ailia-models
- 2.4k
- mmengine
- 1.5k
Forks
- ailia-models
- 365
- mmengine
- 464
Open issues
- ailia-models
- 323
- mmengine
- 269
Language
- ailia-models
- Python
- mmengine
- Python
Adopt for
- ailia-models
- Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing.
- mmengine
- MMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python.
Persona
- ailia-models
- -
- mmengine
- -
Runtime
- ailia-models
- -
- mmengine
- -
License
- ailia-models
- -
- mmengine
- MMEngine is distributed under the Apache 2.0 License.
Last pushed
- ailia-models
- Sep 16, 2026
- mmengine
- Jul 13, 2026
Categories
- ailia-models
- Computer Vision, Model Training, Speech & Audio
- mmengine
- Model Training
Trust and health
Maintenance
- ailia-models
- Very active (96%)
- mmengine
- Steady (60%)
Days since push
- ailia-models
- 3d
- mmengine
- 70d
Open issues (now)
- ailia-models
- 323
- mmengine
- 269
Stars delta
- ailia-models
- +35 (30d)
- mmengine
- +14 (30d)
Open issues delta
- ailia-models
- +7 (30d)
- mmengine
- +9 (30d)
OSV dependency advisories
- ailia-models
- No lockfile (source not queried)
- mmengine
- No published findings from this source as of 2026-07-11
Full report
- ailia-models
- Trust report
- mmengine
- Trust report
Shared compatibility
- Python · ailia-models: Python runtime · mmengine: Python runtime
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 mmengine if…
- Pricing: The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0)..
- Tags unique to mmengine: ai, computer-vision, machine-learning, python.
- - Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes.
When NOT to use mmengine
- - Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+).
- - If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support.
- - Consider an alternative if you are looking for more flexibility beyond the specific use cases catered to by OpenMMLab and do not want to be tied into their ecosystem.
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 Sep 20, 2026
- GitHub forks (ailia-ai/ailia-models) · observed Sep 20, 2026
- Last push (ailia-ai/ailia-models) · observed Sep 16, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (open-mmlab/mmengine) · observed Sep 22, 2026
- GitHub forks (open-mmlab/mmengine) · observed Sep 22, 2026
- Last push (open-mmlab/mmengine) · observed Jul 13, 2026
- License file (Apache-2.0) · observed Sep 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 · mmengine 1.5k (synced Sep 20, 2026).
Common questions
- What is the difference between ailia-models and mmengine?
- ailia-models: Repository of pre-trained AI models for ailia SDK. mmengine: OpenMMLab Foundational Library for Training Deep Learning Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose ailia-models over mmengine?
- Choose ailia-models over mmengine 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 mmengine over ailia-models?
- Choose mmengine over ailia-models when Pricing: The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0).; Tags unique to mmengine: ai, computer-vision, machine-learning, python; - Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes.
- 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 mmengine?
- - Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+). - If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support. - Consider an alternative if you are looking for more flexibility beyond the specific use cases catered to by OpenMMLab and do not want to be tied into their ecosystem.
- Is ailia-models or mmengine more popular on GitHub?
- ailia-models has more GitHub stars (2,392 vs 1,496). Stars measure visibility, not whether either tool fits your constraints.
- Are ailia-models and mmengine open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ailia-models or mmengine?
- GraphCanon lists graph-backed alternatives at ailia-models alternatives and mmengine alternatives (ailia-models markdown twin, mmengine 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 mmengine?
- ailia-models: Very active. mmengine: 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 ailia-models and mmengine?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ailia-models trust report; mmengine trust report.