Comparison
ChatTTS vs TTS
Verdict
Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; pick TTS if 🐸TTS is a Python-based deep learning toolkit for developing text-to-speech systems featuring models like Tacotron and Vocoder for training.
Markdown twin · ChatTTS alternatives · TTS alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | ChatTTS | TTS |
|---|---|---|
| Maintenance | Slowing (127d since push) As of 1w · github_public_v1 | Dormant (711d 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
- TTS
- 🐸💬 - a deep learning toolkit for Text-to-Speech
Stars
- ChatTTS
- 40k
- TTS
- 46k
Forks
- ChatTTS
- 4.3k
- TTS
- 6.2k
Open issues
- ChatTTS
- 60
- TTS
- 4
Language
- ChatTTS
- Python
- TTS
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- TTS
- 🐸TTS is a Python-based deep learning toolkit for developing text-to-speech systems featuring models like Tacotron and Vocoder for training.
Persona
- ChatTTS
- -
- TTS
- -
Runtime
- ChatTTS
- -
- TTS
- -
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.
- TTS
- MPL-2.0
Last pushed
- ChatTTS
- Apr 10, 2026
- TTS
- Aug 16, 2024
Categories
- ChatTTS
- AI Agents, Speech & Audio
- TTS
- Model Training, Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- TTS
- Dormant (18%)
Days since push
- ChatTTS
- 127d
- TTS
- 711d
Open issues (now)
- ChatTTS
- 60
- TTS
- 4
Stars delta
- ChatTTS
- +140 (30d)
- TTS
- Unknown
Open issues delta
- ChatTTS
- -1 (30d)
- TTS
- Unknown
OSV dependency advisories
- ChatTTS
- No lockfile (source not queried)
- TTS
- Published findings
Full report
- ChatTTS
- Trust report
- TTS
- Trust report
Shared compatibility
- Python · ChatTTS: Python runtime · TTS: Python runtime
Choose ChatTTS if…
- License: ChatTTS is AGPL-3.0, TTS is MPL-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 TTS if…
- License: TTS is MPL-2.0, ChatTTS is AGPL-3.0.
- Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan.
- Also covers Model Training.
- TTS ships Docker support for self-hosted deployment.
- If you are working on research projects that require advanced models such as Glow-TTS, HifiGAN, or MelGAN for high-quality speech synthesis
When NOT to use TTS
- If your project strictly requires a lightweight installation without the overhead of extra dependencies included when installing 🐸TTS from source for development purposes
- In cases where you are restricted to older Python versions less than 3.9, as 🐸TTS is tested on systems with python >= 3.9 but < 3.12
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 (coqui-ai/TTS) · observed Jul 29, 2026
- GitHub forks (coqui-ai/TTS) · observed Jul 29, 2026
- Last push (coqui-ai/TTS) · observed Aug 16, 2024
- License file (MPL-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 · TTS 46k (synced Aug 16, 2026).
Common questions
- What is the difference between ChatTTS and TTS?
- ChatTTS: A generative speech model for daily dialogue. TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over TTS?
- Choose ChatTTS over TTS when License: ChatTTS is AGPL-3.0, TTS is MPL-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 TTS over ChatTTS?
- Choose TTS over ChatTTS when License: TTS is MPL-2.0, ChatTTS is AGPL-3.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Model Training; TTS ships Docker support for self-hosted deployment; If you are working on research projects that require advanced models such as Glow-TTS, HifiGAN, or MelGAN for high-quality speech synthesis.
- 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 TTS?
- If your project strictly requires a lightweight installation without the overhead of extra dependencies included when installing 🐸TTS from source for development purposes In cases where you are restricted to older Python versions less than 3.9, as 🐸TTS is tested on systems with python >= 3.9 but < 3.12
- Is ChatTTS or TTS more popular on GitHub?
- TTS has more GitHub stars (45,832 vs 39,768). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and TTS open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, TTS: MPL-2.0).
- Where can I find alternatives to ChatTTS or TTS?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and TTS alternatives (ChatTTS markdown twin, TTS 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 TTS?
- ChatTTS: Slowing. TTS: 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 TTS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; TTS trust report.