Comparison
ailia-models vs TengineKit
Verdict
Pick ailia-models if pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing; pick TengineKit if tengineKit is an easy-to-integrate AI algorithm SDK targeting mobile platforms for real-time detection and recognition tasks like face and body landmarks, attributes, hand detections.
Markdown twin · ailia-models alternatives · TengineKit alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | ailia-models | TengineKit |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Dormant (1746d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization 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
- ailia-models
- Repository of pre-trained AI models for ailia SDK
- TengineKit
- TengineKit - Real-Time Mobile AI Algorithm SDK
Stars
- ailia-models
- 2.4k
- TengineKit
- 2.3k
Forks
- ailia-models
- 363
- TengineKit
- 307
Open issues
- ailia-models
- 321
- TengineKit
- 32
Language
- ailia-models
- Python
- TengineKit
- C++
Adopt for
- ailia-models
- Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing.
- TengineKit
- TengineKit is an easy-to-integrate AI algorithm SDK targeting mobile platforms for real-time detection and recognition tasks like face and body landmarks, attributes, hand detections.
Persona
- ailia-models
- -
- TengineKit
- -
Runtime
- ailia-models
- -
- TengineKit
- -
License
- ailia-models
- -
- TengineKit
- Other
Last pushed
- ailia-models
- Aug 21, 2026
- TengineKit
- Oct 18, 2021
Categories
- ailia-models
- Computer Vision, Model Training, Speech & Audio
- TengineKit
- Computer Vision
Trust and health
Maintenance
- ailia-models
- Very active (96%)
- TengineKit
- Dormant (18%)
Days since push
- ailia-models
- 0d
- TengineKit
- 1746d
Open issues (now)
- ailia-models
- 321
- TengineKit
- 32
Stars delta
- ailia-models
- +8 (30d)
- TengineKit
- Unknown
Open issues delta
- ailia-models
- +5 (30d)
- TengineKit
- Unknown
Full report
- ailia-models
- Trust report
- TengineKit
- Trust report
Choose ailia-models if…
- ailia-models is primarily Python; TengineKit is C++.
- Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal.
- Also covers Model Training, 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 TengineKit if…
- TengineKit is primarily C++; ailia-models is Python.
- Requirements: The tool requires C++ skills to be effectively utilized in development.; Performance optimization is reported on select mobile platforms, mainly focusing on Kirin and Qualcomm series..
- Tags unique to TengineKit: ai, android, artificial-intelligence, computer-vision.
- You aim to integrate comprehensive real-time AI algorithms on mobile devices such as face detection, landmarks, and attributes with low latency.
When NOT to use TengineKit
- Your project does not require features like hand or body detection/landmarks in real-time on mobile devices, as these are not fully supported yet on the mobile platform provided by this SDK.
- The necessity of using an open-source license is a critical factor for your decision since TengineKit's license is listed as 'Other', suggesting restrictions may apply.
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 (OAID/TengineKit) · observed Jul 31, 2026
- GitHub forks (OAID/TengineKit) · observed Jul 31, 2026
- Last push (OAID/TengineKit) · observed Oct 18, 2021
- License file (Other) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ailia-models 2.4k · TengineKit 2.3k (synced Aug 22, 2026).
Common questions
- What is the difference between ailia-models and TengineKit?
- ailia-models: Repository of pre-trained AI models for ailia SDK. TengineKit: TengineKit - Real-Time Mobile AI Algorithm SDK. See the comparison table for live GitHub stats and shared categories.
- When should I choose ailia-models over TengineKit?
- Choose ailia-models over TengineKit when ailia-models is primarily Python; TengineKit is C++; Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Model Training, Speech & Audio; When developing apps that integrate with the ailia SDK.
- When should I choose TengineKit over ailia-models?
- Choose TengineKit over ailia-models when TengineKit is primarily C++; ailia-models is Python; Requirements: The tool requires C++ skills to be effectively utilized in development.; Performance optimization is reported on select mobile platforms, mainly focusing on Kirin and Qualcomm series.; Tags unique to TengineKit: ai, android, artificial-intelligence, computer-vision; You aim to integrate comprehensive real-time AI algorithms on mobile devices such as face detection, landmarks, and attributes with low latency.
- 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 TengineKit?
- Your project does not require features like hand or body detection/landmarks in real-time on mobile devices, as these are not fully supported yet on the mobile platform provided by this SDK. The necessity of using an open-source license is a critical factor for your decision since TengineKit's license is listed as 'Other', suggesting restrictions may apply.
- Is ailia-models or TengineKit more popular on GitHub?
- ailia-models has more GitHub stars (2,365 vs 2,320). Stars measure visibility, not whether either tool fits your constraints.
- Are ailia-models and TengineKit open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ailia-models or TengineKit?
- GraphCanon lists graph-backed alternatives at ailia-models alternatives and TengineKit alternatives (ailia-models markdown twin, TengineKit 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 TengineKit?
- ailia-models: Very active. TengineKit: 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 TengineKit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ailia-models trust report; TengineKit trust report.