Comparison
mlx-audio vs faster-whisper
Verdict
Pick mlx-audio when tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal; pick faster-whisper when requirements: Requires Python 3.9 or higher.
Markdown twin · mlx-audio alternatives · faster-whisper alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | mlx-audio | faster-whisper |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Slowing (234d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- mlx-audio
- A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
- faster-whisper
- Faster Whisper transcription with CTranslate2
Stars
- mlx-audio
- 7.5k
- faster-whisper
- 24k
Forks
- mlx-audio
- 664
- faster-whisper
- 2.0k
Open issues
- mlx-audio
- 83
- faster-whisper
- 311
Language
- mlx-audio
- Python
- faster-whisper
- Python
Adopt for
- mlx-audio
- -
- faster-whisper
- A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
Persona
- mlx-audio
- -
- faster-whisper
- -
Runtime
- mlx-audio
- -
- faster-whisper
- -
License
- mlx-audio
- MIT
- faster-whisper
- MIT
Last pushed
- mlx-audio
- Jul 10, 2026
- faster-whisper
- Nov 19, 2025
Categories
- mlx-audio
- Model Training, Speech & Audio
- faster-whisper
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- mlx-audio
- Very active (96%)
- faster-whisper
- Slowing (36%)
Days since push
- mlx-audio
- 1d
- faster-whisper
- 234d
Open issues (now)
- mlx-audio
- 83
- faster-whisper
- 311
Owner type
- mlx-audio
- User
- faster-whisper
- Organization
Security scan
- mlx-audio
- No lockfile
- faster-whisper
- No criticals
Full report
- mlx-audio
- Trust report
- faster-whisper
- Trust report
Shared compatibility
- Python · mlx-audio: Python runtime · faster-whisper: Python runtime
Choose mlx-audio if…
- Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal.
- Also covers Model Training.
- More recently updated (last pushed Jul 10, 2026).
When NOT to use mlx-audio
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose faster-whisper if…
- Requirements: Requires Python 3.9 or higher.
- Tags unique to faster-whisper: deep-learning, inference, openai, quantization.
- Also covers Inference & Serving.
- A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
When NOT to use faster-whisper
- * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV.
- * In environments where additional dependencies from PyAV may introduce complexity or issues.
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 11, 2026
- GitHub forks (Blaizzy/mlx-audio) · observed Jul 11, 2026
- Last push (Blaizzy/mlx-audio) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SYSTRAN/faster-whisper) · observed Jul 11, 2026
- GitHub forks (SYSTRAN/faster-whisper) · observed Jul 11, 2026
- Last push (SYSTRAN/faster-whisper) · observed Nov 19, 2025
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mlx-audio 7.5k · faster-whisper 24k (synced Jul 11, 2026).
Common questions
- What is the difference between mlx-audio and faster-whisper?
- mlx-audio: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
- When should I choose mlx-audio over faster-whisper?
- Choose mlx-audio over faster-whisper when Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal; Also covers Model Training; More recently updated (last pushed Jul 10, 2026).
- When should I choose faster-whisper over mlx-audio?
- Choose faster-whisper over mlx-audio when Requirements: Requires Python 3.9 or higher; Tags unique to faster-whisper: deep-learning, inference, openai, quantization; Also covers Inference & Serving; A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
- When should I avoid mlx-audio?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid faster-whisper?
- * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. * In environments where additional dependencies from PyAV may introduce complexity or issues.
- Is mlx-audio or faster-whisper more popular on GitHub?
- faster-whisper has more GitHub stars (24,214 vs 7,525). Stars measure visibility, not whether either tool fits your constraints.
- Are mlx-audio and faster-whisper open source?
- Yes - both are open-source projects on GitHub (mlx-audio: MIT, faster-whisper: MIT).
- Where can I find alternatives to mlx-audio or faster-whisper?
- GraphCanon lists graph-backed alternatives at mlx-audio alternatives and faster-whisper alternatives (mlx-audio markdown twin, faster-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, mlx-audio or faster-whisper?
- mlx-audio: Very active. faster-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 mlx-audio and faster-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mlx-audio trust report; faster-whisper trust report.