---
title: "sherpa-onnx vs RealtimeSTT"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/k2-fsa-sherpa-onnx-vs-koljab-realtimestt"
tools: ["k2-fsa-sherpa-onnx", "koljab-realtimestt"]
---

# sherpa-onnx vs RealtimeSTT

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick sherpa-onnx when sherpa-onnx is primarily C++; RealtimeSTT is Python; pick RealtimeSTT when realtimeSTT is primarily Python; sherpa-onnx is C++.

[sherpa-onnx](https://k2-fsa.github.io/sherpa/onnx/index.html) reports 13k GitHub stars, 1.5k forks, and 600 open issues, last pushed Jul 10, 2026. [RealtimeSTT](https://github.com/KoljaB/RealtimeSTT) has 10.0k stars, 850 forks, and 146 open issues, last pushed Jun 12, 2026. Figures are from public GitHub metadata via [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx) and [RealtimeSTT's repository](https://github.com/KoljaB/RealtimeSTT).

| | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [RealtimeSTT](/tools/koljab-realtimestt.md) |
| --- | --- | --- |
| Tagline | 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 | A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription. |
| Stars | 13,499 | 9,982 |
| Forks | 1,545 | 850 |
| Open issues | 600 | 146 |
| Language | C++ | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Inference & Serving, Speech & Audio, Computer Vision | Speech & Audio, Computer Vision |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [RealtimeSTT](/tools/koljab-realtimestt.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 1d | 28d |
| Open issues (now) | 600 | 146 |
| Owner type | Organization | User |
| Security scan | No lockfile | No criticals |
| Full report | [trust report](/tools/k2-fsa-sherpa-onnx/trust.md) | [trust report](/tools/koljab-realtimestt/trust.md) |

## Shared compatibility

- **Python**: [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) - Python runtime; [RealtimeSTT](/tools/koljab-realtimestt.md) - Python runtime

## Choose when

### Choose sherpa-onnx if…

- sherpa-onnx is primarily C++; RealtimeSTT is Python.
- License: sherpa-onnx is Apache-2.0, RealtimeSTT is MIT.
- Tags unique to sherpa-onnx: dotnet, asr, android, arm32.
- Also covers Inference & Serving.

### Choose RealtimeSTT if…

- RealtimeSTT is primarily Python; sherpa-onnx is C++.
- License: RealtimeSTT is MIT, sherpa-onnx is Apache-2.0.
- Tags unique to RealtimeSTT: speech-to-text, python, realtime.
- RealtimeSTT ships Docker support for self-hosted deployment.

## When NOT to use sherpa-onnx

- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

## Common questions

### What is the difference between sherpa-onnx and RealtimeSTT?

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. RealtimeSTT: A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.. See the comparison table for live GitHub stats and shared categories.

### When should I choose sherpa-onnx over RealtimeSTT?

Choose sherpa-onnx over RealtimeSTT when sherpa-onnx is primarily C++; RealtimeSTT is Python; License: sherpa-onnx is Apache-2.0, RealtimeSTT is MIT; Tags unique to sherpa-onnx: dotnet, asr, android, arm32; Also covers Inference & Serving.

### When should I choose RealtimeSTT over sherpa-onnx?

Choose RealtimeSTT over sherpa-onnx when RealtimeSTT is primarily Python; sherpa-onnx is C++; License: RealtimeSTT is MIT, sherpa-onnx is Apache-2.0; Tags unique to RealtimeSTT: speech-to-text, python, realtime; RealtimeSTT ships Docker support for self-hosted deployment.

### 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 sherpa-onnx or RealtimeSTT more popular on GitHub?

sherpa-onnx has more GitHub stars (13,499 vs 9,982). Stars measure visibility, not whether either tool fits your constraints.

### Are sherpa-onnx and RealtimeSTT open source?

Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, RealtimeSTT: MIT).

### Where can I find alternatives to sherpa-onnx or RealtimeSTT?

GraphCanon lists graph-backed alternatives at [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) and [RealtimeSTT alternatives](/tools/koljab-realtimestt/alternatives) ([sherpa-onnx markdown twin](/tools/k2-fsa-sherpa-onnx/alternatives.md), [RealtimeSTT markdown twin](/tools/koljab-realtimestt/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/k2-fsa-sherpa-onnx-vs-koljab-realtimestt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, sherpa-onnx or RealtimeSTT?

sherpa-onnx: Very active. RealtimeSTT: 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 sherpa-onnx and RealtimeSTT?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/trust); [RealtimeSTT trust report](/tools/koljab-realtimestt/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx`](/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx)
- 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/_
