--- title: "TTS vs metavoice-src" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-metavoiceio-metavoice-src" tools: ["coqui-ai-tts", "metavoiceio-metavoice-src"] --- # TTS vs metavoice-src *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, metavoice-src is Apache-2.0; pick metavoice-src when license: metavoice-src is Apache-2.0, 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. [metavoice-src](https://themetavoice.xyz/) has 4.2k stars, 692 forks, and 64 open issues, last pushed Jul 30, 2024. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [metavoice-src's repository](https://github.com/metavoiceio/metavoice-src). | | [TTS](/tools/coqui-ai-tts.md) | [metavoice-src](/tools/metavoiceio-metavoice-src.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | Foundational model for human-like, expressive TTS | | Stars | 45,737 | 4,201 | | Forks | 6,152 | 692 | | Open issues | 4 | 64 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training, Speech & Audio | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [metavoice-src](/tools/metavoiceio-metavoice-src.md) | | --- | --- | --- | | Days since push | 693d | 710d | | Open issues (now) | 4 | 64 | | Security scan | 137 low (137 low) | 214 low (214 low) | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/metavoiceio-metavoice-src/trust.md) | ## Shared compatibility - **Python**: [TTS](/tools/coqui-ai-tts.md) - Python runtime; [metavoice-src](/tools/metavoiceio-metavoice-src.md) - Python runtime ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, metavoice-src is Apache-2.0. - Tags unique to TTS: glow-tts, hifigan, melgan, multi-speaker-tts. - Also covers Inference & Serving. ### Choose metavoice-src if… - License: metavoice-src is Apache-2.0, TTS is MPL-2.0. - Tags unique to metavoice-src: ai, speech, speech-synthesis, text-to-speech. ## 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. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use metavoice-src - Last GitHub push was 711 days ago (dormant maintenance, Jul 30, 2024). Validate activity before betting a new project on metavoice-src. - 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 metavoice-src? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. metavoice-src: Foundational model for human-like, expressive TTS. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over metavoice-src? Choose TTS over metavoice-src when License: TTS is MPL-2.0, metavoice-src is Apache-2.0; Tags unique to TTS: glow-tts, hifigan, melgan, multi-speaker-tts; Also covers Inference & Serving. ### When should I choose metavoice-src over TTS? Choose metavoice-src over TTS when License: metavoice-src is Apache-2.0, TTS is MPL-2.0; Tags unique to metavoice-src: ai, speech, speech-synthesis, text-to-speech. ### 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid metavoice-src? Last GitHub push was 711 days ago (dormant maintenance, Jul 30, 2024). Validate activity before betting a new project on metavoice-src. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is TTS or metavoice-src more popular on GitHub? TTS has more GitHub stars (45,737 vs 4,201). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and metavoice-src open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, metavoice-src: Apache-2.0). ### Where can I find alternatives to TTS or metavoice-src? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [metavoice-src alternatives](/tools/metavoiceio-metavoice-src/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [metavoice-src markdown twin](/tools/metavoiceio-metavoice-src/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-metavoiceio-metavoice-src.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or metavoice-src? TTS: Dormant. metavoice-src: 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 TTS and metavoice-src? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [metavoice-src trust report](/tools/metavoiceio-metavoice-src/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/_