--- title: "ailia-models vs mukh" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ailia-ai-ailia-models-vs-ishandutta0098-mukh" tools: ["ailia-ai-ailia-models", "ishandutta0098-mukh"] --- # ailia-models vs mukh *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 mukh if mukh is a Python library specializing in face analysis tasks such as deepfake detection and reenactment. [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. [mukh](https://ishandutta0098.github.io/mukh/) has 376 stars, 95 forks, and 6 open issues, last pushed Jun 29, 2025. Figures are from public GitHub metadata via [ailia-models's repository](https://github.com/ailia-ai/ailia-models) and [mukh's repository](https://github.com/ishandutta0098/mukh). | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [mukh](/tools/ishandutta0098-mukh.md) | | --- | --- | --- | | Tagline | Repository of pre-trained AI models for ailia SDK | A comprehensive face analysis library that provides unified APIs for various face-related tasks | | Stars | 2,365 | 376 | | Forks | 363 | 95 | | Open issues | 321 | 6 | | Language | Python | Python | | Adopt for | Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. | mukh is a Python library specializing in face analysis tasks such as deepfake detection and reenactment. | | Persona | - | - | | Runtime | - | - | | License | - | mukh is available under the Apache-2.0 license, which allows for both commercial and non-commercial uses with proper attribution. | | 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) | [mukh](/tools/ishandutta0098-mukh.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 397d | | Open issues (now) | 321 | 6 | | Stars delta | +8 (30d) | Unknown | | Open issues delta | +5 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/ailia-ai-ailia-models/trust.md) | [trust report](/tools/ishandutta0098-mukh/trust.md) | ## Shared compatibility - **Python**: [ailia-models](/tools/ailia-ai-ailia-models.md) - Python runtime; [mukh](/tools/ishandutta0098-mukh.md) - Python runtime ## Decision facts: ailia-models - **Adopt for:** Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. ## Decision facts: mukh - **Adopt for:** mukh is a Python library specializing in face analysis tasks such as deepfake detection and reenactment. - **License detail:** mukh is available under the Apache-2.0 license, which allows for both commercial and non-commercial uses with proper attribution. ## Choose when ### Choose ailia-models if… - 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 mukh if… - Tags unique to mukh: ai, computer-vision, deepfake-detection, face-analysis. - Use mukh when you need specific functionalities for deepfake detection and face reenactment, as these are key features it supports. - Leaner open-issue backlog (6). ## 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 mukh - Avoid using mukh if your application does not specifically require deepfake detection or reenactment functionalities as these could introduce unnecessary complexity and dependencies. - Do not use mukh if you are looking for a broad computer vision library. It focuses narrowly on face-related tasks and might be limiting outside this domain. ## Common questions ### What is the difference between ailia-models and mukh? ailia-models: Repository of pre-trained AI models for ailia SDK. mukh: A comprehensive face analysis library that provides unified APIs for various face-related tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose ailia-models over mukh? Choose ailia-models over mukh when 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 mukh over ailia-models? Choose mukh over ailia-models when Tags unique to mukh: ai, computer-vision, deepfake-detection, face-analysis; Use mukh when you need specific functionalities for deepfake detection and face reenactment, as these are key features it supports; Leaner open-issue backlog (6). ### 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 mukh? Avoid using mukh if your application does not specifically require deepfake detection or reenactment functionalities as these could introduce unnecessary complexity and dependencies. Do not use mukh if you are looking for a broad computer vision library. It focuses narrowly on face-related tasks and might be limiting outside this domain. ### Is ailia-models or mukh more popular on GitHub? ailia-models has more GitHub stars (2,365 vs 376). Stars measure visibility, not whether either tool fits your constraints. ### Are ailia-models and mukh open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ailia-models or mukh? GraphCanon lists graph-backed alternatives at [ailia-models alternatives](/tools/ailia-ai-ailia-models/alternatives) and [mukh alternatives](/tools/ishandutta0098-mukh/alternatives) ([ailia-models markdown twin](/tools/ailia-ai-ailia-models/alternatives.md), [mukh markdown twin](/tools/ishandutta0098-mukh/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-ishandutta0098-mukh.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ailia-models or mukh? ailia-models: Very active. mukh: 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 mukh? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ailia-models trust report](/tools/ailia-ai-ailia-models/trust); [mukh trust report](/tools/ishandutta0098-mukh/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/_