Comparison
ChatTTS vs metavoice-src
Verdict
Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; pick metavoice-src if metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM.
Markdown twin · ChatTTS alternatives · metavoice-src alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | ChatTTS | metavoice-src |
|---|---|---|
| Maintenance | Slowing (127d since push) As of 1w · github_public_v1 | Dormant (728d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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 | 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
- ChatTTS
- A generative speech model for daily dialogue
- metavoice-src
- Foundational model for human-like, expressive TTS
Stars
- ChatTTS
- 40k
- metavoice-src
- 4.2k
Forks
- ChatTTS
- 4.3k
- metavoice-src
- 693
Open issues
- ChatTTS
- 60
- metavoice-src
- 64
Language
- ChatTTS
- Python
- metavoice-src
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- metavoice-src
- Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM.
Persona
- ChatTTS
- -
- metavoice-src
- -
Runtime
- ChatTTS
- -
- metavoice-src
- -
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.
- metavoice-src
- Apache-2.0
Last pushed
- ChatTTS
- Apr 10, 2026
- metavoice-src
- Jul 30, 2024
Categories
- ChatTTS
- AI Agents, Speech & Audio
- metavoice-src
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- metavoice-src
- Dormant (18%)
Days since push
- ChatTTS
- 127d
- metavoice-src
- 728d
Open issues (now)
- ChatTTS
- 60
- metavoice-src
- 64
Stars delta
- ChatTTS
- +140 (30d)
- metavoice-src
- Unknown
Open issues delta
- ChatTTS
- -1 (30d)
- metavoice-src
- Unknown
OSV dependency advisories
- ChatTTS
- No lockfile (source not queried)
- metavoice-src
- Published findings
Full report
- ChatTTS
- Trust report
- metavoice-src
- Trust report
Shared compatibility
- Python · ChatTTS: Python runtime · metavoice-src: Python runtime
Choose ChatTTS if…
- License: ChatTTS is AGPL-3.0, metavoice-src is Apache-2.0.
- 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 metavoice-src if…
- License: metavoice-src is Apache-2.0, ChatTTS is AGPL-3.0.
- Tags unique to metavoice-src: ai, deep-learning, pytorch, speech.
- metavoice-src ships Docker support for self-hosted deployment.
- When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches
When NOT to use metavoice-src
- For users lacking a GPU with at least 12GB VRAM
- Without Python version 3.10 to 3.12, metavoice-src might not function properly
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 Aug 16, 2026
- GitHub forks (2noise/ChatTTS) · observed Aug 16, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (metavoiceio/metavoice-src) · observed Jul 29, 2026
- GitHub forks (metavoiceio/metavoice-src) · observed Jul 29, 2026
- Last push (metavoiceio/metavoice-src) · observed Jul 30, 2024
- License file (Apache-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatTTS 40k · metavoice-src 4.2k (synced Aug 16, 2026).
Common questions
- What is the difference between ChatTTS and metavoice-src?
- ChatTTS: A generative speech model for daily dialogue. metavoice-src: Foundational model for human-like, expressive TTS. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over metavoice-src?
- Choose ChatTTS over metavoice-src when License: ChatTTS is AGPL-3.0, metavoice-src is Apache-2.0; 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 metavoice-src over ChatTTS?
- Choose metavoice-src over ChatTTS when License: metavoice-src is Apache-2.0, ChatTTS is AGPL-3.0; Tags unique to metavoice-src: ai, deep-learning, pytorch, speech; metavoice-src ships Docker support for self-hosted deployment; When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches.
- 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 metavoice-src?
- For users lacking a GPU with at least 12GB VRAM Without Python version 3.10 to 3.12, metavoice-src might not function properly
- Is ChatTTS or metavoice-src more popular on GitHub?
- ChatTTS has more GitHub stars (39,768 vs 4,203). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and metavoice-src open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, metavoice-src: Apache-2.0).
- Where can I find alternatives to ChatTTS or metavoice-src?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and metavoice-src alternatives (ChatTTS markdown twin, metavoice-src 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 metavoice-src?
- ChatTTS: Slowing. metavoice-src: Dormant. 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 metavoice-src?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; metavoice-src trust report.