Comparison
airunner vs sherpa-onnx
Verdict
Pick airunner if aIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API; 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 · airunner alternatives · sherpa-onnx alternatives
GraphCanon updated Sep 20, 2026
8views this month
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Trust & integrity
| Signal | airunner | sherpa-onnx |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- airunner
- Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows
- sherpa-onnx
- Speech-to-text and related audio processing tools using ONNX with cross-platform support
Stars
- airunner
- 1.3k
- sherpa-onnx
- 15k
Forks
- airunner
- 103
- sherpa-onnx
- 1.7k
Open issues
- airunner
- 70
- sherpa-onnx
- 620
Language
- airunner
- Python
- sherpa-onnx
- C++
Adopt for
- airunner
- AIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API.
- sherpa-onnx
- sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages.
Persona
- airunner
- -
- sherpa-onnx
- -
Runtime
- airunner
- -
- sherpa-onnx
- -
License
- airunner
- GPL-3.0, ensuring free use but requiring sharing of modifications in a similar manner.
- sherpa-onnx
- Apache-2.0
Last pushed
- airunner
- Sep 19, 2026
- sherpa-onnx
- Sep 20, 2026
Categories
- airunner
- Computer Vision, Inference & Serving, Speech & Audio
- sherpa-onnx
- Speech & Audio
Trust and health
Open issues (now)
- airunner
- 70
- sherpa-onnx
- 620
Stars delta
- airunner
- +4 (30d)
- sherpa-onnx
- +1.0k (30d)
Open issues delta
- airunner
- +65 (30d)
- sherpa-onnx
- +3 (30d)
Full report
- airunner
- Trust report
- sherpa-onnx
- Trust report
Shared compatibility
- Python · airunner: Python runtime · sherpa-onnx: Python runtime
Choose airunner if…
- airunner is primarily Python; sherpa-onnx is C++.
- License: airunner is GPL-3.0, sherpa-onnx is Apache-2.0.
- Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors.
- Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text.
- Also covers Computer Vision, Inference & Serving.
- airunner ships Docker support for self-hosted deployment.
- When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities
When NOT to use airunner
- If your primary need is cloud-based services as AIRunner focuses on local deployments only
- In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
Choose sherpa-onnx if…
- sherpa-onnx is primarily C++; airunner is Python.
- License: sherpa-onnx is Apache-2.0, airunner is GPL-3.0.
- 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 (Capsize-Games/airunner) · observed Sep 20, 2026
- GitHub forks (Capsize-Games/airunner) · observed Sep 20, 2026
- Last push (Capsize-Games/airunner) · observed Sep 19, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (k2-fsa/sherpa-onnx) · observed Sep 20, 2026
- GitHub forks (k2-fsa/sherpa-onnx) · observed Sep 20, 2026
- Last push (k2-fsa/sherpa-onnx) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: airunner 1.3k · sherpa-onnx 15k (synced Sep 20, 2026).
Common questions
- What is the difference between airunner and sherpa-onnx?
- airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows. 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 airunner over sherpa-onnx?
- Choose airunner over sherpa-onnx when airunner is primarily Python; sherpa-onnx is C++; License: airunner is GPL-3.0, sherpa-onnx is Apache-2.0; Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors; Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text; Also covers Computer Vision, Inference & Serving; airunner ships Docker support for self-hosted deployment; When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities.
- When should I choose sherpa-onnx over airunner?
- Choose sherpa-onnx over airunner when sherpa-onnx is primarily C++; airunner is Python; License: sherpa-onnx is Apache-2.0, airunner is GPL-3.0; 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 airunner?
- If your primary need is cloud-based services as AIRunner focuses on local deployments only In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
- 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 airunner or sherpa-onnx more popular on GitHub?
- sherpa-onnx has more GitHub stars (14,860 vs 1,316). Stars measure visibility, not whether either tool fits your constraints.
- Are airunner and sherpa-onnx open source?
- Yes - both are open-source projects on GitHub (airunner: GPL-3.0, sherpa-onnx: Apache-2.0).
- Where can I find alternatives to airunner or sherpa-onnx?
- GraphCanon lists graph-backed alternatives at airunner alternatives and sherpa-onnx alternatives (airunner 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, airunner or sherpa-onnx?
- airunner: 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 airunner and sherpa-onnx?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airunner trust report; sherpa-onnx trust report.