Comparison
SenseVoice vs awesome-whisper
Verdict
Pick SenseVoice if senseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 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 · SenseVoice alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | SenseVoice | awesome-whisper |
|---|---|---|
| Maintenance | Very active (2d 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 published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Published findings As of 4w · deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | No public record from this source As of 4w · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- SenseVoice
- Multilingual speech understanding toolkit with ASR, emotion recognition, and audio event detection.
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- SenseVoice
- 9.0k
- awesome-whisper
- 2.4k
Forks
- SenseVoice
- 799
- awesome-whisper
- 156
Open issues
- SenseVoice
- 0
- awesome-whisper
- 7
Language
- SenseVoice
- C
- awesome-whisper
- -
Adopt for
- SenseVoice
- SenseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 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
- SenseVoice
- -
- awesome-whisper
- -
Runtime
- SenseVoice
- -
- awesome-whisper
- -
License
- SenseVoice
- Other
- awesome-whisper
- CC0-1.0
Last pushed
- SenseVoice
- Jul 27, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- SenseVoice
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- SenseVoice
- Very active (96%)
- awesome-whisper
- Slowing (36%)
Days since push
- SenseVoice
- 2d
- awesome-whisper
- 134d
Open issues (now)
- SenseVoice
- 0
- awesome-whisper
- 7
Owner type
- SenseVoice
- Organization
- awesome-whisper
- User
OSV dependency advisories
- SenseVoice
- No published findings from this source as of 2026-07-11
- awesome-whisper
- No lockfile (source not queried)
deps.dev advisories
- SenseVoice
- Published findings
- awesome-whisper
- Not queried
OpenSSF Scorecard
- SenseVoice
- No public record from this source
- awesome-whisper
- Not queried
Full report
- SenseVoice
- Trust report
- awesome-whisper
- Trust report
Choose SenseVoice if…
- License: SenseVoice is Other, awesome-whisper is CC0-1.0.
- Tags unique to SenseVoice: asr, audio-analysis, audio-event-detection, cantonese.
- SenseVoice ships Docker support for self-hosted deployment.
- Projects requiring speed, with non-autoregressive models being up to 15 times faster than Whisper
When NOT to use SenseVoice
- Applications needing Python-based implementation since SenseVoice relies on C and PyTorch for its framework
- Scenarios demanding the lowest level of inference latency as it may have higher overhead compared to simpler models
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, SenseVoice is Other.
- 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 (FunAudioLLM/SenseVoice) · observed Jul 30, 2026
- GitHub forks (FunAudioLLM/SenseVoice) · observed Jul 30, 2026
- Last push (FunAudioLLM/SenseVoice) · observed Jul 27, 2026
- License file (Other) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 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: SenseVoice 9.0k · awesome-whisper 2.4k (synced Jul 30, 2026).
Common questions
- What is the difference between SenseVoice and awesome-whisper?
- SenseVoice: Multilingual speech understanding toolkit with ASR, emotion recognition, and audio event detection.. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose SenseVoice over awesome-whisper?
- Choose SenseVoice over awesome-whisper when License: SenseVoice is Other, awesome-whisper is CC0-1.0; Tags unique to SenseVoice: asr, audio-analysis, audio-event-detection, cantonese; SenseVoice ships Docker support for self-hosted deployment; Projects requiring speed, with non-autoregressive models being up to 15 times faster than Whisper.
- When should I choose awesome-whisper over SenseVoice?
- Choose awesome-whisper over SenseVoice when License: awesome-whisper is CC0-1.0, SenseVoice is Other; 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 SenseVoice?
- Applications needing Python-based implementation since SenseVoice relies on C and PyTorch for its framework Scenarios demanding the lowest level of inference latency as it may have higher overhead compared to simpler models
- 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 SenseVoice or awesome-whisper more popular on GitHub?
- SenseVoice has more GitHub stars (8,961 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are SenseVoice and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (SenseVoice: Other, awesome-whisper: CC0-1.0).
- Where can I find alternatives to SenseVoice or awesome-whisper?
- GraphCanon lists graph-backed alternatives at SenseVoice alternatives and awesome-whisper alternatives (SenseVoice 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, SenseVoice or awesome-whisper?
- SenseVoice: 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 SenseVoice and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SenseVoice trust report; awesome-whisper trust report.