--- title: "sherpa-onnx vs dia2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/k2-fsa-sherpa-onnx-vs-nari-labs-dia2" tools: ["k2-fsa-sherpa-onnx", "nari-labs-dia2"] --- # sherpa-onnx vs dia2 *GraphCanon updated Jul 30, 2026* ## Verdict Pick sherpa-onnx when sherpa-onnx is primarily C++; dia2 is Python; pick dia2 when dia2 is primarily Python; sherpa-onnx is C++. [sherpa-onnx](https://k2-fsa.github.io/sherpa/onnx/index.html) reports 14k GitHub stars, 1.6k forks, and 617 open issues, last pushed Jul 29, 2026. [dia2](https://github.com/nari-labs/dia2) has 1.2k stars, 99 forks, and 5 open issues, last pushed Nov 29, 2025. Figures are from public GitHub metadata via [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx) and [dia2's repository](https://github.com/nari-labs/dia2). | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Tagline | Speech-to-text and related audio processing tools using ONNX with cross-platform support | TTS model capable of streaming conversational audio in real-time. | | Stars | 13,842 | 1,160 | | Forks | 1,596 | 99 | | Open issues | 617 | 5 | | Language | C++ | Python | | Adopt for | 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 | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 243d | | Open issues (now) | 617 | 5 | | Full report | [trust report](/tools/k2-fsa-sherpa-onnx/trust.md) | [trust report](/tools/nari-labs-dia2/trust.md) | ## 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 sherpa-onnx if… - sherpa-onnx is primarily C++; dia2 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 ### Choose dia2 if… - dia2 is primarily Python; sherpa-onnx is C++. - Tags unique to dia2: open-weight, text-to-speech. - When you need real-time streaming capabilities for text-to-speech applications. ## 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 ## When NOT to use dia2 - For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. - If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ## Common questions ### What is the difference between sherpa-onnx and dia2? sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. dia2: TTS model capable of streaming conversational audio in real-time.. See the comparison table for live GitHub stats and shared categories. ### When should I choose sherpa-onnx over dia2? Choose sherpa-onnx over dia2 when sherpa-onnx is primarily C++; dia2 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 choose dia2 over sherpa-onnx? Choose dia2 over sherpa-onnx when dia2 is primarily Python; sherpa-onnx is C++; Tags unique to dia2: open-weight, text-to-speech; When you need real-time streaming capabilities for text-to-speech applications. ### 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 ### When should I avoid dia2? For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ### Is sherpa-onnx or dia2 more popular on GitHub? sherpa-onnx has more GitHub stars (13,842 vs 1,160). Stars measure visibility, not whether either tool fits your constraints. ### Are sherpa-onnx and dia2 open source? Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, dia2: Apache-2.0). ### Where can I find alternatives to sherpa-onnx or dia2? GraphCanon lists graph-backed alternatives at [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) and [dia2 alternatives](/tools/nari-labs-dia2/alternatives) ([sherpa-onnx markdown twin](/tools/k2-fsa-sherpa-onnx/alternatives.md), [dia2 markdown twin](/tools/nari-labs-dia2/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/k2-fsa-sherpa-onnx-vs-nari-labs-dia2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, sherpa-onnx or dia2? sherpa-onnx: Very active. dia2: Slowing. 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 sherpa-onnx and dia2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/trust); [dia2 trust report](/tools/nari-labs-dia2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx`](/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx) - 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/_