Home/Compare/dograh vs sherpa-onnx

Comparison

dograh vs sherpa-onnx

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.

Markdown twin · dograh alternatives · sherpa-onnx alternatives

GraphCanon updated 3w

dograh logo

dograh

dograh-hq/dograh

5.1kpushed Jul 29, 2026
vs
sherpa-onnx logo

sherpa-onnx

k2-fsa/sherpa-onnx

14kpushed Jul 29, 2026

Trust & integrity

Signaldograhsherpa-onnx
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

dograh
Self-hosted open source voice AI platform
sherpa-onnx
Speech-to-text and related audio processing tools using ONNX with cross-platform support

Stars

dograh
5.1k
sherpa-onnx
14k

Forks

dograh
1.2k
sherpa-onnx
1.6k

Open issues

dograh
20
sherpa-onnx
617

Language

dograh
Python
sherpa-onnx
C++

Adopt for

dograh
Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support
sherpa-onnx
sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages.

Persona

dograh
-
sherpa-onnx
-

Runtime

dograh
-
sherpa-onnx
-

License

dograh
BSD-2-Clause
sherpa-onnx
Apache-2.0

Last pushed

dograh
Jul 29, 2026
sherpa-onnx
Jul 29, 2026

Categories

dograh
Inference & Serving, Speech & Audio
sherpa-onnx
Speech & Audio

Trust and health

Open issues (now)

dograh
20
sherpa-onnx
617

Full report

sherpa-onnx
Trust report

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

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

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 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dograh 5.1k · sherpa-onnx 14k (synced Jul 29, 2026).

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 and sherpa-onnx alternatives (dograh markdown twin, sherpa-onnx markdown twin), 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 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; sherpa-onnx trust report.

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