Home/Compare/whisper.cpp vs sherpa-onnx

Comparison

whisper.cpp vs sherpa-onnx

Verdict

Pick whisper.cpp when license: whisper.cpp is MIT, sherpa-onnx is Apache-2.0; pick sherpa-onnx when license: sherpa-onnx is Apache-2.0, whisper.cpp is MIT.

Markdown twin · whisper.cpp alternatives · sherpa-onnx alternatives

GraphCanon updated 1d

whisper.cpp logo

whisper.cpp

ggml-org/whisper.cpp

52kpushed Jul 11, 2026
vs
sherpa-onnx logo

sherpa-onnx

k2-fsa/sherpa-onnx

13kpushed Jul 10, 2026

Trust & integrity

Signalwhisper.cppsherpa-onnx
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Very active (1d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

whisper.cpp
Port of OpenAI's Whisper model in C/C++ for speech-to-text inference
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

whisper.cpp
52k
sherpa-onnx
13k

Forks

whisper.cpp
5.9k
sherpa-onnx
1.5k

Open issues

whisper.cpp
1.2k
sherpa-onnx
600

Language

whisper.cpp
C++
sherpa-onnx
C++

Adopt for

whisper.cpp
A port of OpenAI's Whisper model to C++, optimized with `ggml`, for lightweight speech-to-text transcription.
sherpa-onnx
-

Persona

whisper.cpp
-
sherpa-onnx
-

Runtime

whisper.cpp
-
sherpa-onnx
-

License

whisper.cpp
MIT License - permissive license that allows users to use the software in any way, including closed-source applications.
sherpa-onnx
Apache-2.0

Last pushed

whisper.cpp
Jul 11, 2026
sherpa-onnx
Jul 10, 2026

Categories

whisper.cpp
Inference & Serving, Speech & Audio
sherpa-onnx
Computer Vision, Inference & Serving, Speech & Audio

Trust and health

Days since push

whisper.cpp
0d
sherpa-onnx
1d

Open issues (now)

whisper.cpp
1.2k
sherpa-onnx
600

Full report

whisper.cpp
Trust report
sherpa-onnx
Trust report

Choose whisper.cpp if…

  • License: whisper.cpp is MIT, sherpa-onnx is Apache-2.0.
  • Requirements: Requires C++ setup and knowledge; Needs audio files converted into a compatible format supported by `ggml`..
  • Tags unique to whisper.cpp: inference, openai, speech-recognition, speech-to-text.
  • You need a lightweight solution that does not require Python or PyTorch

When NOT to use whisper.cpp

  • When you prefer to work with higher-level languages like Python which might offer more ease-of-use and extensive libraries
  • If your project requires real-time speech transcription and has limited computational resources as `ggml` optimization might still require significant CPU/GPU power for high-performance

Choose sherpa-onnx if…

  • License: sherpa-onnx is Apache-2.0, whisper.cpp is MIT.
  • Tags unique to sherpa-onnx: aarch64, android, arm32, asr.
  • Also covers Computer Vision.

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 on cards: whisper.cpp 52k · sherpa-onnx 13k (synced Jul 11, 2026).

Common questions

What is the difference between whisper.cpp and sherpa-onnx?
whisper.cpp: Port of OpenAI's Whisper model in C/C++ for speech-to-text inference. 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 whisper.cpp over sherpa-onnx?
Choose whisper.cpp over sherpa-onnx when License: whisper.cpp is MIT, sherpa-onnx is Apache-2.0; Requirements: Requires C++ setup and knowledge; Needs audio files converted into a compatible format supported by ggml.; Tags unique to whisper.cpp: inference, openai, speech-recognition, speech-to-text; You need a lightweight solution that does not require Python or PyTorch.
When should I choose sherpa-onnx over whisper.cpp?
Choose sherpa-onnx over whisper.cpp when License: sherpa-onnx is Apache-2.0, whisper.cpp is MIT; Tags unique to sherpa-onnx: aarch64, android, arm32, asr; Also covers Computer Vision.
When should I avoid whisper.cpp?
When you prefer to work with higher-level languages like Python which might offer more ease-of-use and extensive libraries If your project requires real-time speech transcription and has limited computational resources as ggml optimization might still require significant CPU/GPU power for high-performance
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 whisper.cpp or sherpa-onnx more popular on GitHub?
whisper.cpp has more GitHub stars (51,715 vs 13,499). Stars measure visibility, not whether either tool fits your constraints.
Are whisper.cpp and sherpa-onnx open source?
Yes - both are open-source projects on GitHub (whisper.cpp: MIT, sherpa-onnx: Apache-2.0).
Where can I find alternatives to whisper.cpp or sherpa-onnx?
GraphCanon lists graph-backed alternatives at whisper.cpp alternatives and sherpa-onnx alternatives (whisper.cpp 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, whisper.cpp or sherpa-onnx?
whisper.cpp: 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 whisper.cpp and sherpa-onnx?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper.cpp trust report; sherpa-onnx trust report.

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