--- title: "TTS vs Amphion" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-open-mmlab-amphion" tools: ["coqui-ai-tts", "open-mmlab-amphion"] --- # TTS vs Amphion *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, Amphion is MIT; pick Amphion when license: Amphion is MIT, TTS is MPL-2.0. [TTS](http://coqui.ai) reports 46k GitHub stars, 6.2k forks, and 4 open issues, last pushed Aug 16, 2024. [Amphion](https://openhlt.github.io/amphion/) has 9.9k stars, 822 forks, and 175 open issues, last pushed Mar 25, 2026. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [Amphion's repository](https://github.com/open-mmlab/Amphion). | | [TTS](/tools/coqui-ai-tts.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, | | Stars | 45,737 | 9,927 | | Forks | 6,152 | 822 | | Open issues | 4 | 175 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | MIT | | Categories | Model Training, Inference & Serving, Speech & Audio | Inference & Serving, Speech & Audio, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 693d | 107d | | Open issues (now) | 4 | 175 | | Security scan | 137 low (137 low) | No lockfile | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/open-mmlab-amphion/trust.md) | ## Shared compatibility - **Python**: [TTS](/tools/coqui-ai-tts.md) - Python runtime; [Amphion](/tools/open-mmlab-amphion.md) - Python runtime ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, Amphion is MIT. - Tags unique to TTS: deep-learning, glow-tts, python, hifigan. - Also covers Model Training. ### Choose Amphion if… - License: Amphion is MIT, TTS is MPL-2.0. - Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia. - Also covers Computer Vision. ## When NOT to use TTS - Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use Amphion - Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between TTS and Amphion? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. Amphion: Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, . See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over Amphion? Choose TTS over Amphion when License: TTS is MPL-2.0, Amphion is MIT; Tags unique to TTS: deep-learning, glow-tts, python, hifigan; Also covers Model Training. ### When should I choose Amphion over TTS? Choose Amphion over TTS when License: Amphion is MIT, TTS is MPL-2.0; Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia; Also covers Computer Vision. ### When should I avoid TTS? Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid Amphion? Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is TTS or Amphion more popular on GitHub? TTS has more GitHub stars (45,737 vs 9,927). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and Amphion open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, Amphion: MIT). ### Where can I find alternatives to TTS or Amphion? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [Amphion alternatives](/tools/open-mmlab-amphion/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/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/coqui-ai-tts-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, TTS or Amphion? TTS: Dormant. 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 TTS and Amphion? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [Amphion trust report](/tools/open-mmlab-amphion/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coqui-ai-tts`](/api/graphcanon/graph?tool=coqui-ai-tts) - 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/_