--- title: "ailia-models vs TengineKit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ailia-ai-ailia-models-vs-oaid-tenginekit" tools: ["ailia-ai-ailia-models", "oaid-tenginekit"] --- # ailia-models vs TengineKit *GraphCanon updated Aug 22, 2026* ## 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. [ailia-models](https://github.com/ailia-ai/ailia-models) reports 2.4k GitHub stars, 363 forks, and 321 open issues, last pushed Aug 21, 2026. [TengineKit](https://github.com/OAID/TengineKit) has 2.3k stars, 307 forks, and 32 open issues, last pushed Oct 18, 2021. Figures are from public GitHub metadata via [ailia-models's repository](https://github.com/ailia-ai/ailia-models) and [TengineKit's repository](https://github.com/OAID/TengineKit). | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [TengineKit](/tools/oaid-tenginekit.md) | | --- | --- | --- | | Tagline | Repository of pre-trained AI models for ailia SDK | TengineKit - Real-Time Mobile AI Algorithm SDK | | Stars | 2,365 | 2,320 | | Forks | 363 | 307 | | Open issues | 321 | 32 | | Language | Python | C++ | | Adopt for | Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. | 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 | - | - | | Runtime | - | - | | License | - | Other | | Categories | Computer Vision, Model Training, Speech & Audio | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [TengineKit](/tools/oaid-tenginekit.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1746d | | Open issues (now) | 321 | 32 | | Stars delta | +8 (30d) | Unknown | | Open issues delta | +5 (30d) | Unknown | | Full report | [trust report](/tools/ailia-ai-ailia-models/trust.md) | [trust report](/tools/oaid-tenginekit/trust.md) | ## Decision facts: ailia-models - **Adopt for:** Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. ## Decision facts: TengineKit - **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. - **Adopt for:** 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. ## Choose when ### 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 ### 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 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 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. ## 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](/tools/ailia-ai-ailia-models/alternatives) and [TengineKit alternatives](/tools/oaid-tenginekit/alternatives) ([ailia-models markdown twin](/tools/ailia-ai-ailia-models/alternatives.md), [TengineKit markdown twin](/tools/oaid-tenginekit/alternatives.md)), 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](/compare/ailia-ai-ailia-models-vs-oaid-tenginekit.md) 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](/tools/ailia-ai-ailia-models/trust); [TengineKit trust report](/tools/oaid-tenginekit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ailia-ai-ailia-models`](/api/graphcanon/graph?tool=ailia-ai-ailia-models) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_