Comparison
sherpa-onnx vs awesome-whisper
Verdict
Pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Markdown twin · sherpa-onnx alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | sherpa-onnx | awesome-whisper |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Slowing (134d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- sherpa-onnx
- Speech-to-text and related audio processing tools using ONNX with cross-platform support
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- sherpa-onnx
- 14k
- awesome-whisper
- 2.4k
Forks
- sherpa-onnx
- 1.6k
- awesome-whisper
- 156
Open issues
- sherpa-onnx
- 617
- awesome-whisper
- 7
Language
- sherpa-onnx
- C++
- awesome-whisper
- -
Adopt for
- sherpa-onnx
- sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages.
- awesome-whisper
- awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Persona
- sherpa-onnx
- -
- awesome-whisper
- -
Runtime
- sherpa-onnx
- -
- awesome-whisper
- -
License
- sherpa-onnx
- Apache-2.0
- awesome-whisper
- CC0-1.0
Last pushed
- sherpa-onnx
- Jul 29, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- sherpa-onnx
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- sherpa-onnx
- Very active (96%)
- awesome-whisper
- Slowing (36%)
Days since push
- sherpa-onnx
- 0d
- awesome-whisper
- 134d
Open issues (now)
- sherpa-onnx
- 617
- awesome-whisper
- 7
Owner type
- sherpa-onnx
- Organization
- awesome-whisper
- User
Full report
- sherpa-onnx
- Trust report
- awesome-whisper
- Trust report
Choose sherpa-onnx if…
- License: sherpa-onnx is Apache-2.0, awesome-whisper is CC0-1.0.
- 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
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, sherpa-onnx is Apache-2.0.
- Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai.
- When seeking curated information on Whisper variants optimized for various platforms and languages
When NOT to use awesome-whisper
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem
- In cases where the focus is on using pre-integrated solutions without the need for model customization
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (k2-fsa/sherpa-onnx) · observed Jul 29, 2026
- GitHub forks (k2-fsa/sherpa-onnx) · observed Jul 29, 2026
- Last push (k2-fsa/sherpa-onnx) · observed Jul 29, 2026
- License file (Apache-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- GitHub forks (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- Last push (sindresorhus/awesome-whisper) · observed Mar 17, 2026
- License file (CC0-1.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: sherpa-onnx 14k · awesome-whisper 2.4k (synced Jul 29, 2026).
Common questions
- What is the difference between sherpa-onnx and awesome-whisper?
- sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose sherpa-onnx over awesome-whisper?
- Choose sherpa-onnx over awesome-whisper when License: sherpa-onnx is Apache-2.0, awesome-whisper is CC0-1.0; 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 choose awesome-whisper over sherpa-onnx?
- Choose awesome-whisper over sherpa-onnx when License: awesome-whisper is CC0-1.0, sherpa-onnx is Apache-2.0; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages.
- 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
- When should I avoid awesome-whisper?
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization
- Is sherpa-onnx or awesome-whisper more popular on GitHub?
- sherpa-onnx has more GitHub stars (13,842 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are sherpa-onnx and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to sherpa-onnx or awesome-whisper?
- GraphCanon lists graph-backed alternatives at sherpa-onnx alternatives and awesome-whisper alternatives (sherpa-onnx markdown twin, awesome-whisper 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, sherpa-onnx or awesome-whisper?
- sherpa-onnx: Very active. awesome-whisper: Slowing. 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 awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: sherpa-onnx trust report; awesome-whisper trust report.