Comparison
mlx-audio vs FluidAudio
Verdict
Pick mlx-audio if mlx-audio is designed to offer an efficient speech processing library on Apple's MLX framework for tasks involving TTS, STT, and STS operations; 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.
Markdown twin · mlx-audio alternatives · FluidAudio alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | mlx-audio | FluidAudio |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Very active (4d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization 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
- mlx-audio
- A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library on Apple's MLX framework.
- FluidAudio
- CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift.
Stars
- mlx-audio
- 7.6k
- FluidAudio
- 2.6k
Forks
- mlx-audio
- 680
- FluidAudio
- 360
Open issues
- mlx-audio
- 88
- FluidAudio
- 19
Language
- mlx-audio
- Python
- FluidAudio
- Swift
Adopt for
- mlx-audio
- mlx-audio is designed to offer an efficient speech processing library on Apple's MLX framework for tasks involving TTS, STT, and STS operations.
- 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.
Persona
- mlx-audio
- -
- FluidAudio
- -
Runtime
- mlx-audio
- -
- FluidAudio
- -
License
- mlx-audio
- MIT
- FluidAudio
- Apache-2.0
Last pushed
- mlx-audio
- Jul 28, 2026
- FluidAudio
- Jul 26, 2026
Categories
- mlx-audio
- Speech & Audio
- FluidAudio
- Speech & Audio
Trust and health
Days since push
- mlx-audio
- 0d
- FluidAudio
- 4d
Open issues (now)
- mlx-audio
- 88
- FluidAudio
- 19
Owner type
- mlx-audio
- User
- FluidAudio
- Organization
Full report
- mlx-audio
- Trust report
- FluidAudio
- Trust report
Choose mlx-audio if…
- mlx-audio is primarily Python; FluidAudio is Swift.
- License: mlx-audio is MIT, FluidAudio is Apache-2.0.
- Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal.
- Use mlx-audio if you require high performance in text-to-speech, speech-to-text, or speech-to-speech transformations specifically optimized for Apple Silicon Macs (M1/M2/M3/M4).
When NOT to use mlx-audio
- Do not use mlx-audio if your project or target hardware is not based on Apple Silicon. It requires specifically designed optimizations that do not apply to Intel processors.
- Avoid mlx-audio when the dependency on ffmpeg for audio format handling becomes a limitation due to licensing, compatibility with existing pipelines, or specific codec requirements.
- Do not opt for mlx-audio if your application does not require seamless integration within the MLX framework and does not gain any significant benefit from its specialized support.
Choose FluidAudio if…
- FluidAudio is primarily Swift; mlx-audio is Python.
- License: FluidAudio is Apache-2.0, mlx-audio 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Blaizzy/mlx-audio) · observed Jul 29, 2026
- GitHub forks (Blaizzy/mlx-audio) · observed Jul 29, 2026
- Last push (Blaizzy/mlx-audio) · observed Jul 28, 2026
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: mlx-audio 7.6k · FluidAudio 2.6k (synced Jul 29, 2026).
Common questions
- What is the difference between mlx-audio and FluidAudio?
- mlx-audio: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library on Apple's MLX framework.. FluidAudio: CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mlx-audio over FluidAudio?
- Choose mlx-audio over FluidAudio when mlx-audio is primarily Python; FluidAudio is Swift; License: mlx-audio is MIT, FluidAudio is Apache-2.0; Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal; Use mlx-audio if you require high performance in text-to-speech, speech-to-text, or speech-to-speech transformations specifically optimized for Apple Silicon Macs (M1/M2/M3/M4).
- When should I choose FluidAudio over mlx-audio?
- Choose FluidAudio over mlx-audio when FluidAudio is primarily Swift; mlx-audio is Python; License: FluidAudio is Apache-2.0, mlx-audio 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 avoid mlx-audio?
- Do not use mlx-audio if your project or target hardware is not based on Apple Silicon. It requires specifically designed optimizations that do not apply to Intel processors. Avoid mlx-audio when the dependency on ffmpeg for audio format handling becomes a limitation due to licensing, compatibility with existing pipelines, or specific codec requirements. Do not opt for mlx-audio if your application does not require seamless integration within the MLX framework and does not gain any significant benefit from its specialized support.
- 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
- Is mlx-audio or FluidAudio more popular on GitHub?
- mlx-audio has more GitHub stars (7,639 vs 2,554). Stars measure visibility, not whether either tool fits your constraints.
- Are mlx-audio and FluidAudio open source?
- Yes - both are open-source projects on GitHub (mlx-audio: MIT, FluidAudio: Apache-2.0).
- Where can I find alternatives to mlx-audio or FluidAudio?
- GraphCanon lists graph-backed alternatives at mlx-audio alternatives and FluidAudio alternatives (mlx-audio markdown twin, FluidAudio 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, mlx-audio or FluidAudio?
- mlx-audio: Very active. FluidAudio: Very 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 mlx-audio and FluidAudio?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mlx-audio trust report; FluidAudio trust report.