Comparison
Fun-ASR vs awesome-whisper
Verdict
Pick Fun-ASR if fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization; 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 · Fun-ASR alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | Fun-ASR | awesome-whisper |
|---|---|---|
| Maintenance | Very active (6d 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 | Published findings 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
- Fun-ASR
- Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- Fun-ASR
- 1.4k
- awesome-whisper
- 2.4k
Forks
- Fun-ASR
- 141
- awesome-whisper
- 156
Open issues
- Fun-ASR
- 0
- awesome-whisper
- 7
Language
- Fun-ASR
- C
- awesome-whisper
- -
Adopt for
- Fun-ASR
- Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization.
- 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
- Fun-ASR
- -
- awesome-whisper
- -
Runtime
- Fun-ASR
- -
- awesome-whisper
- -
License
- Fun-ASR
- Apache-2.0
- awesome-whisper
- CC0-1.0
Last pushed
- Fun-ASR
- Jul 24, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- Fun-ASR
- LLM Frameworks, Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- Fun-ASR
- Very active (96%)
- awesome-whisper
- Slowing (36%)
Days since push
- Fun-ASR
- 6d
- awesome-whisper
- 134d
Open issues (now)
- Fun-ASR
- 0
- awesome-whisper
- 7
Owner type
- Fun-ASR
- Organization
- awesome-whisper
- User
OSV dependency advisories
- Fun-ASR
- Published findings
- awesome-whisper
- No lockfile (source not queried)
Full report
- Fun-ASR
- Trust report
- awesome-whisper
- Trust report
Choose Fun-ASR if…
- License: Fun-ASR is Apache-2.0, awesome-whisper is CC0-1.0.
- Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms..
- Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0..
- Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr.
- Also covers LLM Frameworks.
- When you need support for 31 different languages including handling of various dialects and accents.
When NOT to use Fun-ASR
- Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C.
- If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, Fun-ASR 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 (FunAudioLLM/Fun-ASR) · observed Jul 30, 2026
- GitHub forks (FunAudioLLM/Fun-ASR) · observed Jul 30, 2026
- Last push (FunAudioLLM/Fun-ASR) · observed Jul 24, 2026
- License file (Apache-2.0) · 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: Fun-ASR 1.4k · awesome-whisper 2.4k (synced Jul 30, 2026).
Common questions
- What is the difference between Fun-ASR and awesome-whisper?
- Fun-ASR: Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose Fun-ASR over awesome-whisper?
- Choose Fun-ASR over awesome-whisper when License: Fun-ASR is Apache-2.0, awesome-whisper is CC0-1.0; Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.; Requirements: Installation requires Python packages
funasrversion >=1.3.3, andvllmversion >=0.12.0.; Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr; Also covers LLM Frameworks; When you need support for 31 different languages including handling of various dialects and accents. - When should I choose awesome-whisper over Fun-ASR?
- Choose awesome-whisper over Fun-ASR when License: awesome-whisper is CC0-1.0, Fun-ASR 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 Fun-ASR?
- Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications.
- 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 Fun-ASR or awesome-whisper more popular on GitHub?
- awesome-whisper has more GitHub stars (2,361 vs 1,449). Stars measure visibility, not whether either tool fits your constraints.
- Are Fun-ASR and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (Fun-ASR: Apache-2.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to Fun-ASR or awesome-whisper?
- GraphCanon lists graph-backed alternatives at Fun-ASR alternatives and awesome-whisper alternatives (Fun-ASR 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, Fun-ASR or awesome-whisper?
- Fun-ASR: 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 Fun-ASR and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Fun-ASR trust report; awesome-whisper trust report.