Comparison
SimpleTuner vs sherpa-onnx
Verdict
Pick SimpleTuner when simpleTuner is primarily Python; sherpa-onnx is C++; pick sherpa-onnx when sherpa-onnx is primarily C++; SimpleTuner is Python.
Markdown twin · SimpleTuner alternatives · sherpa-onnx alternatives
GraphCanon updated today
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Trust & integrity
| Signal | SimpleTuner | sherpa-onnx |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- SimpleTuner
- A general fine-tuning kit geared toward image/video/audio diffusion models.
- sherpa-onnx
- Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android
Stars
- SimpleTuner
- 2.9k
- sherpa-onnx
- 13k
Forks
- SimpleTuner
- 285
- sherpa-onnx
- 1.5k
Open issues
- SimpleTuner
- 21
- sherpa-onnx
- 600
Language
- SimpleTuner
- Python
- sherpa-onnx
- C++
Adopt for
- SimpleTuner
- -
- sherpa-onnx
- -
Persona
- SimpleTuner
- -
- sherpa-onnx
- -
Runtime
- SimpleTuner
- -
- sherpa-onnx
- -
License
- SimpleTuner
- AGPL-3.0
- sherpa-onnx
- Apache-2.0
Last pushed
- SimpleTuner
- Jul 8, 2026
- sherpa-onnx
- Jul 10, 2026
Categories
- SimpleTuner
- Computer Vision, Speech & Audio
- sherpa-onnx
- Computer Vision, Speech & Audio, Inference & Serving
Trust and health
Days since push
- SimpleTuner
- 2d
- sherpa-onnx
- 1d
Open issues (now)
- SimpleTuner
- 21
- sherpa-onnx
- 600
Owner type
- SimpleTuner
- User
- sherpa-onnx
- Organization
Full report
- SimpleTuner
- Trust report
- sherpa-onnx
- Trust report
Choose SimpleTuner if…
- SimpleTuner is primarily Python; sherpa-onnx is C++.
- License: SimpleTuner is AGPL-3.0, sherpa-onnx is Apache-2.0.
- Tags unique to SimpleTuner: flux-dev, fine-tuning, stable-diffusion, machine-learning.
Choose sherpa-onnx if…
- sherpa-onnx is primarily C++; SimpleTuner is Python.
- License: sherpa-onnx is Apache-2.0, SimpleTuner is AGPL-3.0.
- Tags unique to sherpa-onnx: dotnet, asr, android, arm32.
- Also covers Inference & Serving.
When NOT to use sherpa-onnx
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bghira/SimpleTuner) · observed Jul 11, 2026
- GitHub forks (bghira/SimpleTuner) · observed Jul 11, 2026
- Last push (bghira/SimpleTuner) · observed Jul 8, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (k2-fsa/sherpa-onnx) · observed Jul 11, 2026
- GitHub forks (k2-fsa/sherpa-onnx) · observed Jul 11, 2026
- Last push (k2-fsa/sherpa-onnx) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: SimpleTuner 2.9k · sherpa-onnx 13k (synced Jul 11, 2026).
Common questions
- What is the difference between SimpleTuner and sherpa-onnx?
- SimpleTuner: A general fine-tuning kit geared toward image/video/audio diffusion models.. sherpa-onnx: Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android. See the comparison table for live GitHub stats and shared categories.
- When should I choose SimpleTuner over sherpa-onnx?
- Choose SimpleTuner over sherpa-onnx when SimpleTuner is primarily Python; sherpa-onnx is C++; License: SimpleTuner is AGPL-3.0, sherpa-onnx is Apache-2.0; Tags unique to SimpleTuner: flux-dev, fine-tuning, stable-diffusion, machine-learning.
- When should I choose sherpa-onnx over SimpleTuner?
- Choose sherpa-onnx over SimpleTuner when sherpa-onnx is primarily C++; SimpleTuner is Python; License: sherpa-onnx is Apache-2.0, SimpleTuner is AGPL-3.0; Tags unique to sherpa-onnx: dotnet, asr, android, arm32; Also covers Inference & Serving.
- When should I avoid sherpa-onnx?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is SimpleTuner or sherpa-onnx more popular on GitHub?
- sherpa-onnx has more GitHub stars (13,499 vs 2,878). Stars measure visibility, not whether either tool fits your constraints.
- Are SimpleTuner and sherpa-onnx open source?
- Yes - both are open-source projects on GitHub (SimpleTuner: AGPL-3.0, sherpa-onnx: Apache-2.0).
- Where can I find alternatives to SimpleTuner or sherpa-onnx?
- GraphCanon lists graph-backed alternatives at SimpleTuner alternatives and sherpa-onnx alternatives (SimpleTuner 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, SimpleTuner or sherpa-onnx?
- SimpleTuner: 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 SimpleTuner and sherpa-onnx?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SimpleTuner trust report; sherpa-onnx trust report.