--- title: "ailia-models vs sherpa-onnx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ailia-ai-ailia-models-vs-k2-fsa-sherpa-onnx" tools: ["ailia-ai-ailia-models", "k2-fsa-sherpa-onnx"] --- # ailia-models vs sherpa-onnx *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 sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. [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. [sherpa-onnx](https://k2-fsa.github.io/sherpa/onnx/index.html) has 14k stars, 1.6k forks, and 617 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [ailia-models's repository](https://github.com/ailia-ai/ailia-models) and [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx). | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | | --- | --- | --- | | Tagline | Repository of pre-trained AI models for ailia SDK | Speech-to-text and related audio processing tools using ONNX with cross-platform support | | Stars | 2,365 | 13,842 | | Forks | 363 | 1,596 | | Open issues | 321 | 617 | | Language | Python | C++ | | Adopt for | Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. | sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Computer Vision, Model Training, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | | --- | --- | --- | | Open issues (now) | 321 | 617 | | 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/k2-fsa-sherpa-onnx/trust.md) | ## Shared compatibility - **Python**: [ailia-models](/tools/ailia-ai-ailia-models.md) - Python runtime; [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.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: sherpa-onnx - **Adopt for:** sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. ## Choose when ### Choose ailia-models if… - ailia-models is primarily Python; sherpa-onnx is C++. - Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal. - Also covers Computer Vision, Model Training. - When developing apps that integrate with the ailia SDK ### Choose sherpa-onnx if… - sherpa-onnx is primarily C++; ailia-models is Python. - Tags unique to sherpa-onnx: aarch64, android, arm32, asr. - When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend ## 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 sherpa-onnx - If your project strictly requires real-time web service interaction or server-based speech-to-text solutions - When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ## Common questions ### What is the difference between ailia-models and sherpa-onnx? ailia-models: Repository of pre-trained AI models for ailia SDK. sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. See the comparison table for live GitHub stats and shared categories. ### When should I choose ailia-models over sherpa-onnx? Choose ailia-models over sherpa-onnx when ailia-models is primarily Python; sherpa-onnx is C++; Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Computer Vision, Model Training; When developing apps that integrate with the ailia SDK. ### When should I choose sherpa-onnx over ailia-models? Choose sherpa-onnx over ailia-models when sherpa-onnx is primarily C++; ailia-models is Python; Tags unique to sherpa-onnx: aarch64, android, arm32, asr; When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend. ### 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 sherpa-onnx? If your project strictly requires real-time web service interaction or server-based speech-to-text solutions When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ### Is ailia-models or sherpa-onnx more popular on GitHub? sherpa-onnx has more GitHub stars (13,842 vs 2,365). Stars measure visibility, not whether either tool fits your constraints. ### Are ailia-models and sherpa-onnx open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ailia-models or sherpa-onnx? GraphCanon lists graph-backed alternatives at [ailia-models alternatives](/tools/ailia-ai-ailia-models/alternatives) and [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) ([ailia-models markdown twin](/tools/ailia-ai-ailia-models/alternatives.md), [sherpa-onnx markdown twin](/tools/k2-fsa-sherpa-onnx/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-k2-fsa-sherpa-onnx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ailia-models or sherpa-onnx? ailia-models: Very active. sherpa-onnx: Very active. 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 sherpa-onnx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ailia-models trust report](/tools/ailia-ai-ailia-models/trust); [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/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/_