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, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
C-Rank Grade: A (Welcoming) - 68/100
External PR Merge Rate: 85%
Response Time: 2d
First Timer Success: 87%
k2-fsa/sherpa-onnx has a recorded first-timer success rate of 86.7%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in k2-fsa/sherpa-onnx respond to incoming external pull requests in approximately 55.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 67.6 places k2-fsa/sherpa-onnx in the A tier.
The external contributor pull request merge rate for k2-fsa/sherpa-onnx is 85.1%, based on public PR activity from non-core contributors.
k2-fsa/sherpa-onnx currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
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, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Established C++ ecosystem in k2-fsa/sherpa-onnx. Maintains structured code review standards for external contributors.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/k2-fsa/sherpa-onnx?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
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90% receive response in
Maintainer review activity heatmap & prime window prediction
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Maintainers are most responsive around 06:00 UTC (06:00 UTC in your timezone). Recommended submission window is Monday - Wednesday from 06:00 to 10:00 UTC (06:00 - 10:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~36 hours (96% approval). Large PRs (>500 lines) take ~268 hours (38% approval). Keep your diff compact for rapid review.
We need to update https://github.com/k2-fsa/sherpa-onnx/tree/master/rust-api-examples to include more examples. https://github.com/k2-fsa/sherpa-onnx/tree/master/c-api-examples can be used as a reference. Streaming ASR examples Add streaming Paraformer. See also streaming-paraformer-c-api.c Add streaming T-one. See also streaming-t-one-ctc-c-api.c Non-streaming ASR examples Add Whisper. See also whisper-c-api.c Add Paraformer. See also paraformer-c-api.c Add WeNet CTC models. See also wenet-ctc-c-api.c Add FireRedASR models. See also fire-red-asr-c-api.c Add FunASR Nano models. See also funasr-nano-c-api.c Add MedASR models. See also medasr-ctc-c-api.c Add Moonshine models. See also moonshine-c-api.c Add NeMo Canary models. See also nemo-canary-c-api.c Add Omnilingual ASR models. See also omnilingual-asr-ctc-c-api.c Add TeleSpeech CTC models. See also telespeech-c-api.c Add Zipformer CTC models VAD examples Add ten-vad example to remove silences from a file. See also
Help wanted: Add asynchronous APIs for Dart bindings (ASR & TTS) We need to add asynchronous APIs for both ASR and TTS in the Dart binding. Tasks Model initialization Add async APIs for initializing models (offline and online). Initialization should not block the main isolate. ASR decoding Provide async APIs for ASR decoding to support non-blocking inference. TTS generation Add async APIs for TTS generation so audio synthesis can run asynchronously. Contribution plan Each task can be implemented in a separate pull request. For example: A PR for async initialization of the offline ASR model A PR for async initialization of the online ASR model A PR for async ASR decoding A PR for async TTS generation Help from the community is very welcome and greatly appreciated 🙏
The pull request #3095 introduces Kotlin and Java APIs for PocketTTS. We’re looking to create an Android demo for voice cloning using these APIs and would greatly appreciate support from the community.
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When evaluating whether to contribute to k2-fsa/sherpa-onnx, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.
Currently, maintainers of k2-fsa/sherpa-onnx acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 85.1% were successfully merged into the primary branch.
k2-fsa/sherpa-onnx has a recorded first-timer success rate of 86.7%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 67.6 places k2-fsa/sherpa-onnx in the Welcoming tier.
The external pull request merge rate is 85.1%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, k2-fsa/sherpa-onnx currently has 3 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for k2-fsa/sherpa-onnx are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.