Comparison
ChatTTS vs WaveRNN
Verdict
Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; pick WaveRNN if waveRNN is a Python-based neural vocoder that can generate high-quality speech from text when used with TTS models like Tacotron.
Markdown twin · ChatTTS alternatives · WaveRNN alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | ChatTTS | WaveRNN |
|---|---|---|
| Maintenance | Slowing (127d since push) As of 1w · github_public_v1 | Dormant (1488d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- WaveRNN
- WaveRNN Vocoder + TTS
Stars
- ChatTTS
- 40k
- WaveRNN
- 2.2k
Forks
- ChatTTS
- 4.3k
- WaveRNN
- 687
Open issues
- ChatTTS
- 60
- WaveRNN
- 108
Language
- ChatTTS
- Python
- WaveRNN
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- WaveRNN
- WaveRNN is a Python-based neural vocoder that can generate high-quality speech from text when used with TTS models like Tacotron.
Persona
- ChatTTS
- -
- WaveRNN
- -
Runtime
- ChatTTS
- -
- WaveRNN
- -
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.
- WaveRNN
- MIT
Last pushed
- ChatTTS
- Apr 10, 2026
- WaveRNN
- Jul 2, 2022
Categories
- ChatTTS
- AI Agents, Speech & Audio
- WaveRNN
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- WaveRNN
- Dormant (18%)
Days since push
- ChatTTS
- 127d
- WaveRNN
- 1488d
Open issues (now)
- ChatTTS
- 60
- WaveRNN
- 108
Stars delta
- ChatTTS
- +140 (30d)
- WaveRNN
- Unknown
Open issues delta
- ChatTTS
- -1 (30d)
- WaveRNN
- Unknown
Owner type
- ChatTTS
- Organization
- WaveRNN
- User
OSV dependency advisories
- ChatTTS
- No lockfile (source not queried)
- WaveRNN
- No published findings from this source as of 2026-07-11
Full report
- ChatTTS
- Trust report
- WaveRNN
- Trust report
Shared compatibility
- Python · ChatTTS: Python runtime · WaveRNN: Python runtime
Choose ChatTTS if…
- License: ChatTTS is AGPL-3.0, WaveRNN 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 WaveRNN if…
- License: WaveRNN is MIT, ChatTTS is AGPL-3.0.
- Requirements: Python version must be equal to or higher than 3.6; Pytorch 1 with CUDA support is a prerequisite.
- Tags unique to WaveRNN: neural-vocoder, pytorch, speech-synthesis, tacotron.
- When you require a compact and efficient method to produce natural-sounding speech synthesis, specifically with the need for high fidelity in audio quality.
When NOT to use WaveRNN
- Avoid using when you need extensive customization of the vocoder parameters, since it is optimized for specific configurations and might not offer the level of tweakability other frameworks provide.
- Not recommended if your setup does not support CUDA, as WaveRNN requires PyTorch with CUDA for execution.
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 (fatchord/WaveRNN) · observed Jul 29, 2026
- GitHub forks (fatchord/WaveRNN) · observed Jul 29, 2026
- Last push (fatchord/WaveRNN) · observed Jul 2, 2022
- License file (MIT) · 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 · WaveRNN 2.2k (synced Aug 16, 2026).
Common questions
- What is the difference between ChatTTS and WaveRNN?
- ChatTTS: A generative speech model for daily dialogue. WaveRNN: WaveRNN Vocoder + TTS. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over WaveRNN?
- Choose ChatTTS over WaveRNN when License: ChatTTS is AGPL-3.0, WaveRNN 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 WaveRNN over ChatTTS?
- Choose WaveRNN over ChatTTS when License: WaveRNN is MIT, ChatTTS is AGPL-3.0; Requirements: Python version must be equal to or higher than 3.6; Pytorch 1 with CUDA support is a prerequisite; Tags unique to WaveRNN: neural-vocoder, pytorch, speech-synthesis, tacotron; When you require a compact and efficient method to produce natural-sounding speech synthesis, specifically with the need for high fidelity in audio quality.
- 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 WaveRNN?
- Avoid using when you need extensive customization of the vocoder parameters, since it is optimized for specific configurations and might not offer the level of tweakability other frameworks provide. Not recommended if your setup does not support CUDA, as WaveRNN requires PyTorch with CUDA for execution.
- Is ChatTTS or WaveRNN more popular on GitHub?
- ChatTTS has more GitHub stars (39,768 vs 2,190). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and WaveRNN open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, WaveRNN: MIT).
- Where can I find alternatives to ChatTTS or WaveRNN?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and WaveRNN alternatives (ChatTTS markdown twin, WaveRNN 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 WaveRNN?
- ChatTTS: Slowing. WaveRNN: 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 WaveRNN?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; WaveRNN trust report.