--- title: "dograh vs sherpa-onnx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-k2-fsa-sherpa-onnx" tools: ["dograh-hq-dograh", "k2-fsa-sherpa-onnx"] --- # dograh vs sherpa-onnx *GraphCanon updated Jul 29, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 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 [dograh's repository](https://github.com/dograh-hq/dograh) and [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx). | | [dograh](/tools/dograh-hq-dograh.md) | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Speech-to-text and related audio processing tools using ONNX with cross-platform support | | Stars | 5,064 | 13,842 | | Forks | 1,185 | 1,596 | | Open issues | 20 | 617 | | Language | Python | C++ | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Apache-2.0 | | Categories | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | | --- | --- | --- | | Open issues (now) | 20 | 617 | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/k2-fsa-sherpa-onnx/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## 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 dograh if… - dograh is primarily Python; sherpa-onnx is C++. - License: dograh is BSD-2-Clause, sherpa-onnx is Apache-2.0. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose sherpa-onnx if… - sherpa-onnx is primarily C++; dograh is Python. - License: sherpa-onnx is Apache-2.0, dograh is BSD-2-Clause. - 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 dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## 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 dograh and sherpa-onnx? dograh: Self-hosted open source voice AI platform. 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 dograh over sherpa-onnx? Choose dograh over sherpa-onnx when dograh is primarily Python; sherpa-onnx is C++; License: dograh is BSD-2-Clause, sherpa-onnx is Apache-2.0; Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose sherpa-onnx over dograh? Choose sherpa-onnx over dograh when sherpa-onnx is primarily C++; dograh is Python; License: sherpa-onnx is Apache-2.0, dograh is BSD-2-Clause; 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 dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### 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 dograh or sherpa-onnx more popular on GitHub? sherpa-onnx has more GitHub stars (13,842 vs 5,064). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and sherpa-onnx open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, sherpa-onnx: Apache-2.0). ### Where can I find alternatives to dograh or sherpa-onnx? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/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/dograh-hq-dograh-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, dograh or sherpa-onnx? dograh: 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 dograh and sherpa-onnx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - 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/_