Comparison
FluidAudio vs annyang
Verdict
Pick FluidAudio if fluidAudio provides CoreML-based models for tasks like text-to-speech, speech-to-text, voice activity detection, and speaker diarization in Swift, focused on iOS and macOS; pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library.
Markdown twin · FluidAudio alternatives · annyang alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | FluidAudio | annyang |
|---|---|---|
| Maintenance | Very active (4d since push) As of 3w · github_public_v1 | Active (15d 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 | Published findings 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
- FluidAudio
- CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift.
- annyang
- Speech recognition for your site
Stars
- FluidAudio
- 2.6k
- annyang
- 6.8k
Forks
- FluidAudio
- 360
- annyang
- 1.0k
Open issues
- FluidAudio
- 19
- annyang
- 10
Language
- FluidAudio
- Swift
- annyang
- TypeScript
Adopt for
- FluidAudio
- FluidAudio provides CoreML-based models for tasks like text-to-speech, speech-to-text, voice activity detection, and speaker diarization in Swift, focused on iOS and macOS.
- annyang
- annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library.
Persona
- FluidAudio
- -
- annyang
- -
Runtime
- FluidAudio
- -
- annyang
- -
License
- FluidAudio
- Apache-2.0
- annyang
- MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit.
Last pushed
- FluidAudio
- Jul 26, 2026
- annyang
- Jul 14, 2026
Categories
- FluidAudio
- Speech & Audio
- annyang
- Speech & Audio
Trust and health
Maintenance
- FluidAudio
- Very active (96%)
- annyang
- Active (82%)
Days since push
- FluidAudio
- 4d
- annyang
- 15d
Open issues (now)
- FluidAudio
- 19
- annyang
- 10
Owner type
- FluidAudio
- Organization
- annyang
- User
OSV dependency advisories
- FluidAudio
- No lockfile (source not queried)
- annyang
- Published findings
Full report
- FluidAudio
- Trust report
- annyang
- Trust report
Choose FluidAudio if…
- FluidAudio is primarily Swift; annyang is TypeScript.
- License: FluidAudio is Apache-2.0, annyang is MIT.
- Tags unique to FluidAudio: ane, asr, audio, automatic-speech-recognition.
- You need accurate speech-to-text transcription with support for real-time processing in a Swift environment
When NOT to use FluidAudio
- If your project requires cross-platform compatibility beyond Apple's ecosystem
- For projects that do not require CoreML-based optimizations and can run on more universally adopted frameworks across multiple operating systems
Choose annyang if…
- annyang is primarily TypeScript; FluidAudio is Swift.
- License: annyang is MIT, FluidAudio is Apache-2.0.
- Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects..
- Tags unique to annyang: mit-license, speech, speech-recognition, speech-to-text.
- When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript.
When NOT to use annyang
- If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions.
- For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FluidInference/FluidAudio) · observed Jul 30, 2026
- GitHub forks (FluidInference/FluidAudio) · observed Jul 30, 2026
- Last push (FluidInference/FluidAudio) · observed Jul 26, 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 (TalAter/annyang) · observed Jul 30, 2026
- GitHub forks (TalAter/annyang) · observed Jul 30, 2026
- Last push (TalAter/annyang) · observed Jul 14, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FluidAudio 2.6k · annyang 6.8k (synced Jul 30, 2026).
Common questions
- What is the difference between FluidAudio and annyang?
- FluidAudio: CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift.. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories.
- When should I choose FluidAudio over annyang?
- Choose FluidAudio over annyang when FluidAudio is primarily Swift; annyang is TypeScript; License: FluidAudio is Apache-2.0, annyang is MIT; Tags unique to FluidAudio: ane, asr, audio, automatic-speech-recognition; You need accurate speech-to-text transcription with support for real-time processing in a Swift environment.
- When should I choose annyang over FluidAudio?
- Choose annyang over FluidAudio when annyang is primarily TypeScript; FluidAudio is Swift; License: annyang is MIT, FluidAudio is Apache-2.0; Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.; Tags unique to annyang: mit-license, speech, speech-recognition, speech-to-text; When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript.
- When should I avoid FluidAudio?
- If your project requires cross-platform compatibility beyond Apple's ecosystem For projects that do not require CoreML-based optimizations and can run on more universally adopted frameworks across multiple operating systems
- When should I avoid annyang?
- If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases.
- Is FluidAudio or annyang more popular on GitHub?
- annyang has more GitHub stars (6,818 vs 2,554). Stars measure visibility, not whether either tool fits your constraints.
- Are FluidAudio and annyang open source?
- Yes - both are open-source projects on GitHub (FluidAudio: Apache-2.0, annyang: MIT).
- Where can I find alternatives to FluidAudio or annyang?
- GraphCanon lists graph-backed alternatives at FluidAudio alternatives and annyang alternatives (FluidAudio markdown twin, annyang 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, FluidAudio or annyang?
- FluidAudio: Very active. annyang: 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 FluidAudio and annyang?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FluidAudio trust report; annyang trust report.