--- title: "ChatTTS vs WaveRNN" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-fatchord-wavernn" tools: ["2noise-chattts", "fatchord-wavernn"] --- # ChatTTS vs WaveRNN *GraphCanon updated Aug 16, 2026* ## 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. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [WaveRNN](https://fatchord.github.io/model_outputs/) has 2.2k stars, 687 forks, and 108 open issues, last pushed Jul 2, 2022. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [WaveRNN's repository](https://github.com/fatchord/WaveRNN). | | [ChatTTS](/tools/2noise-chattts.md) | [WaveRNN](/tools/fatchord-wavernn.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue | WaveRNN Vocoder + TTS | | Stars | 39,768 | 2,190 | | Forks | 4,257 | 687 | | Open issues | 60 | 108 | | Language | Python | Python | | Adopt for | ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. | WaveRNN is a Python-based neural vocoder that can generate high-quality speech from text when used with TTS models like Tacotron. | | Persona | - | - | | Runtime | - | - | | License | Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works. | MIT | | Categories | AI Agents, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatTTS](/tools/2noise-chattts.md) | [WaveRNN](/tools/fatchord-wavernn.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 127d | 1488d | | Open issues (now) | 60 | 108 | | Stars delta | +140 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/fatchord-wavernn/trust.md) | ## Shared compatibility - **Python**: [ChatTTS](/tools/2noise-chattts.md) - Python runtime; [WaveRNN](/tools/fatchord-wavernn.md) - Python runtime ## Decision facts: ChatTTS - **Hosting:** unknown - **Requirements:** Python-based implementation means that familiarity with Python is necessary for effective use. - **Adopt for:** ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. - **License detail:** Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works. ## Decision facts: WaveRNN - **Requirements:** Python version must be equal to or higher than 3.6; Pytorch 1 with CUDA support is a prerequisite - **Adopt for:** WaveRNN is a Python-based neural vocoder that can generate high-quality speech from text when used with TTS models like Tacotron. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/2noise-chattts/alternatives) and [WaveRNN alternatives](/tools/fatchord-wavernn/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [WaveRNN markdown twin](/tools/fatchord-wavernn/alternatives.md)), 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](/compare/2noise-chattts-vs-fatchord-wavernn.md) 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](/tools/2noise-chattts/trust); [WaveRNN trust report](/tools/fatchord-wavernn/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=2noise-chattts`](/api/graphcanon/graph?tool=2noise-chattts) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_