--- title: "ChatTTS vs Amphion" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-open-mmlab-amphion" tools: ["2noise-chattts", "open-mmlab-amphion"] --- # ChatTTS vs Amphion *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 Amphion if amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [Amphion](https://openhlt.github.io/amphion/) has 10.0k stars, 830 forks, and 175 open issues, last pushed Mar 25, 2026. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [Amphion's repository](https://github.com/open-mmlab/Amphion). | | [ChatTTS](/tools/2noise-chattts.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue | A toolkit for Audio, Music, and Speech Generation to support reproducible research | | Stars | 39,768 | 9,973 | | Forks | 4,257 | 830 | | Open issues | 60 | 175 | | Language | Python | Python | | Adopt for | ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. | Amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use. | | 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) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Days since push | 127d | 125d | | Open issues (now) | 60 | 175 | | Stars delta | +140 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/open-mmlab-amphion/trust.md) | ## Shared compatibility - **Python**: [ChatTTS](/tools/2noise-chattts.md) - Python runtime; [Amphion](/tools/open-mmlab-amphion.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: Amphion - **Adopt for:** Amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use. ## Choose when ### Choose ChatTTS if… - License: ChatTTS is AGPL-3.0, Amphion 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 Amphion if… - License: Amphion is MIT, ChatTTS is AGPL-3.0. - Tags unique to Amphion: audio-generation, music-generation, singing-voice-conversion, speech-synthesis. - Amphion ships Docker support for self-hosted deployment. - When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images. ## 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 Amphion - If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration. ## Common questions ### What is the difference between ChatTTS and Amphion? ChatTTS: A generative speech model for daily dialogue. Amphion: A toolkit for Audio, Music, and Speech Generation to support reproducible research. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatTTS over Amphion? Choose ChatTTS over Amphion when License: ChatTTS is AGPL-3.0, Amphion 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 Amphion over ChatTTS? Choose Amphion over ChatTTS when License: Amphion is MIT, ChatTTS is AGPL-3.0; Tags unique to Amphion: audio-generation, music-generation, singing-voice-conversion, speech-synthesis; Amphion ships Docker support for self-hosted deployment; When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images. ### 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 Amphion? If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration. ### Is ChatTTS or Amphion more popular on GitHub? ChatTTS has more GitHub stars (39,768 vs 9,973). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS and Amphion open source? Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, Amphion: MIT). ### Where can I find alternatives to ChatTTS or Amphion? GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [Amphion alternatives](/tools/open-mmlab-amphion/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [Amphion markdown twin](/tools/open-mmlab-amphion/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-open-mmlab-amphion.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS or Amphion? ChatTTS: Slowing. Amphion: Slowing. 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 Amphion? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [Amphion trust report](/tools/open-mmlab-amphion/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/_