Comparison
FunASR vs awesome-whisper
Verdict
Pick FunASR if funASR is an industrial-grade toolkit supporting real-time speech recognition across 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 · FunASR alternatives · awesome-whisper alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | FunASR | 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 1w · 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
- FunASR
- Industrial-grade speech recognition toolkit
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- FunASR
- 20k
- awesome-whisper
- 2.4k
Forks
- FunASR
- 2.0k
- awesome-whisper
- 156
Open issues
- FunASR
- 5
- awesome-whisper
- 7
Language
- FunASR
- Python
- awesome-whisper
- -
Adopt for
- FunASR
- FunASR is an industrial-grade toolkit supporting real-time speech recognition across 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
- FunASR
- -
- awesome-whisper
- -
Runtime
- FunASR
- -
- awesome-whisper
- -
License
- FunASR
- MIT License allows free use and modification.
- awesome-whisper
- CC0-1.0
Last pushed
- FunASR
- Jul 30, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- FunASR
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- FunASR
- Very active (96%)
- awesome-whisper
- Slowing (36%)
Days since push
- FunASR
- 0d
- awesome-whisper
- 134d
Open issues (now)
- FunASR
- 5
- awesome-whisper
- 7
Owner type
- FunASR
- Organization
- awesome-whisper
- User
Full report
- FunASR
- Trust report
- awesome-whisper
- Trust report
Choose FunASR if…
- License: FunASR is MIT, awesome-whisper is CC0-1.0.
- Requirements: Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR..
- Tags unique to FunASR: asr, audio, chinese, emotion-recognition.
- When requiring high-speed real-time processing of up to 170x realtime speech recognition.
When NOT to use FunASR
- In scenarios where only a narrow set of languages are required, as overhead for supporting over 50 languages may be unnecessary.
- For projects lacking GPU resources since certain models, like the Fun-ASR-Nano flagship model, require a GPU to run effectively.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, FunASR is MIT.
- 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 (modelscope/FunASR) · observed Jul 30, 2026
- GitHub forks (modelscope/FunASR) · observed Jul 30, 2026
- Last push (modelscope/FunASR) · observed Jul 30, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 16, 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: FunASR 20k · awesome-whisper 2.4k (synced Jul 30, 2026).
Common questions
- What is the difference between FunASR and awesome-whisper?
- FunASR: Industrial-grade speech recognition toolkit. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose FunASR over awesome-whisper?
- Choose FunASR over awesome-whisper when License: FunASR is MIT, awesome-whisper is CC0-1.0; Requirements: Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR.; Tags unique to FunASR: asr, audio, chinese, emotion-recognition; When requiring high-speed real-time processing of up to 170x realtime speech recognition.
- When should I choose awesome-whisper over FunASR?
- Choose awesome-whisper over FunASR when License: awesome-whisper is CC0-1.0, FunASR is MIT; 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 FunASR?
- In scenarios where only a narrow set of languages are required, as overhead for supporting over 50 languages may be unnecessary. For projects lacking GPU resources since certain models, like the Fun-ASR-Nano flagship model, require a GPU to run effectively.
- 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 FunASR or awesome-whisper more popular on GitHub?
- FunASR has more GitHub stars (19,554 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are FunASR and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (FunASR: MIT, awesome-whisper: CC0-1.0).
- Where can I find alternatives to FunASR or awesome-whisper?
- GraphCanon lists graph-backed alternatives at FunASR alternatives and awesome-whisper alternatives (FunASR 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, FunASR or awesome-whisper?
- FunASR: 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 FunASR and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FunASR trust report; awesome-whisper trust report.