Comparison
ChatTTS vs mlx-audio
Verdict
Pick ChatTTS when license: ChatTTS is AGPL-3.0, mlx-audio is MIT; pick mlx-audio when license: mlx-audio is MIT, ChatTTS is AGPL-3.0.
Markdown twin · ChatTTS alternatives · mlx-audio alternatives
GraphCanon updated today
Trust & integrity
| Signal | ChatTTS | mlx-audio |
|---|---|---|
| Maintenance | Slowing (91d since push) As of 1d · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- ChatTTS
- A generative speech model for daily dialogue
- 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.
Stars
- ChatTTS
- 40k
- mlx-audio
- 7.5k
Forks
- ChatTTS
- 4.2k
- mlx-audio
- 664
Open issues
- ChatTTS
- 63
- mlx-audio
- 83
Language
- ChatTTS
- Python
- mlx-audio
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- mlx-audio
- -
Persona
- ChatTTS
- -
- mlx-audio
- -
Runtime
- ChatTTS
- -
- mlx-audio
- -
License
- ChatTTS
- Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works.
- mlx-audio
- MIT
Last pushed
- ChatTTS
- Apr 10, 2026
- mlx-audio
- Jul 10, 2026
Categories
- ChatTTS
- AI Agents, Speech & Audio
- mlx-audio
- Model Training, Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- mlx-audio
- Very active (96%)
Days since push
- ChatTTS
- 91d
- mlx-audio
- 1d
Open issues (now)
- ChatTTS
- 63
- mlx-audio
- 83
Owner type
- ChatTTS
- Organization
- mlx-audio
- User
Full report
- ChatTTS
- Trust report
- mlx-audio
- Trust report
Choose ChatTTS if…
- License: ChatTTS is AGPL-3.0, mlx-audio is MIT.
- Requirements: Python-based implementation means that familiarity with Python is necessary for effective use..
- Tags unique to ChatTTS: agent, chatgpt, chattts, chinese-language.
- Also covers AI Agents.
- Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.
When NOT to use ChatTTS
- Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation.
- Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.
Choose mlx-audio if…
- License: mlx-audio is MIT, ChatTTS is AGPL-3.0.
- Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal.
- Also covers Model Training.
When NOT to use mlx-audio
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (2noise/ChatTTS) · observed Jul 11, 2026
- GitHub forks (2noise/ChatTTS) · observed Jul 11, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: ChatTTS 40k · mlx-audio 7.5k (synced Jul 11, 2026).
Common questions
- What is the difference between ChatTTS and mlx-audio?
- ChatTTS: A generative speech model for daily dialogue. 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.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over mlx-audio?
- Choose ChatTTS over mlx-audio when License: ChatTTS is AGPL-3.0, mlx-audio is MIT; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: agent, chatgpt, chattts, chinese-language; Also covers AI Agents; Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.
- When should I choose mlx-audio over ChatTTS?
- Choose mlx-audio over ChatTTS when License: mlx-audio is MIT, ChatTTS is AGPL-3.0; Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal; Also covers Model Training.
- When should I avoid ChatTTS?
- Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.
- When should I avoid mlx-audio?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is ChatTTS or mlx-audio more popular on GitHub?
- ChatTTS has more GitHub stars (39,593 vs 7,525). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and mlx-audio open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, mlx-audio: MIT).
- Where can I find alternatives to ChatTTS or mlx-audio?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and mlx-audio alternatives (ChatTTS markdown twin, mlx-audio 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, ChatTTS or mlx-audio?
- ChatTTS: Slowing. mlx-audio: 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 ChatTTS and mlx-audio?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; mlx-audio trust report.