--- title: "TTS vs Confucius4-TTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-netease-youdao-confucius4-tts" tools: ["coqui-ai-tts", "netease-youdao-confucius4-tts"] --- # TTS vs Confucius4-TTS *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, Confucius4-TTS is Other; pick Confucius4-TTS when license: Confucius4-TTS is Other, 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. [Confucius4-TTS](https://github.com/netease-youdao/Confucius4-TTS) has 668 stars, 65 forks, and 10 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [Confucius4-TTS's repository](https://github.com/netease-youdao/Confucius4-TTS). | | [TTS](/tools/coqui-ai-tts.md) | [Confucius4-TTS](/tools/netease-youdao-confucius4-tts.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine | | Stars | 45,737 | 668 | | Forks | 6,152 | 65 | | Open issues | 4 | 10 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Other | | Categories | Model Training, Speech & Audio, Inference & Serving | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [Confucius4-TTS](/tools/netease-youdao-confucius4-tts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 693d | 2d | | Open issues (now) | 4 | 10 | | Owner type | Organization | User | | Security scan | 137 low (137 low) | No lockfile | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/netease-youdao-confucius4-tts/trust.md) | ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, Confucius4-TTS is Other. - Tags unique to TTS: glow-tts, hifigan, speaker-encoder, melgan. - Also covers Inference & Serving. - TTS ships Docker support for self-hosted deployment. ### Choose Confucius4-TTS if… - License: Confucius4-TTS is Other, TTS is MPL-2.0. - Tags unique to Confucius4-TTS: multi-lingual, fine-tuning, cross-lingual, audio. - More recently updated (last pushed Jul 9, 2026). ## 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 Confucius4-TTS - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between TTS and Confucius4-TTS? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. Confucius4-TTS: Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over Confucius4-TTS? Choose TTS over Confucius4-TTS when License: TTS is MPL-2.0, Confucius4-TTS is Other; Tags unique to TTS: glow-tts, hifigan, speaker-encoder, melgan; Also covers Inference & Serving; TTS ships Docker support for self-hosted deployment. ### When should I choose Confucius4-TTS over TTS? Choose Confucius4-TTS over TTS when License: Confucius4-TTS is Other, TTS is MPL-2.0; Tags unique to Confucius4-TTS: multi-lingual, fine-tuning, cross-lingual, audio; More recently updated (last pushed Jul 9, 2026). ### 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 Confucius4-TTS? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is TTS or Confucius4-TTS more popular on GitHub? TTS has more GitHub stars (45,737 vs 668). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and Confucius4-TTS open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, Confucius4-TTS: Other). ### Where can I find alternatives to TTS or Confucius4-TTS? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [Confucius4-TTS alternatives](/tools/netease-youdao-confucius4-tts/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [Confucius4-TTS markdown twin](/tools/netease-youdao-confucius4-tts/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-netease-youdao-confucius4-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or Confucius4-TTS? TTS: Dormant. Confucius4-TTS: Very active. 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 Confucius4-TTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [Confucius4-TTS trust report](/tools/netease-youdao-confucius4-tts/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/_