--- title: "TTS vs Applio" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-iahispano-applio" tools: ["coqui-ai-tts", "iahispano-applio"] --- # TTS vs Applio *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, Applio is MIT; pick Applio when license: Applio 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. [Applio](https://applio.org) has 3.5k stars, 557 forks, and 27 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [Applio's repository](https://github.com/IAHispano/Applio). | | [TTS](/tools/coqui-ai-tts.md) | [Applio](/tools/iahispano-applio.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | A simple, high-quality voice conversion tool focused on ease of use and performance. | | Stars | 45,737 | 3,467 | | Forks | 6,152 | 557 | | Open issues | 4 | 27 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | MIT | | Categories | Inference & Serving, Model Training, Speech & Audio | Developer Tools, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [Applio](/tools/iahispano-applio.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 693d | 0d | | Open issues (now) | 4 | 27 | | Security scan | 137 low (137 low) | 27 low (27 low) | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/iahispano-applio/trust.md) | ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, Applio is MIT. - Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan. - Also covers Inference & Serving. ### Choose Applio if… - License: Applio is MIT, TTS is MPL-2.0. - Tags unique to Applio: ai, applio, rvc, speech. - Also covers Developer Tools. ## When NOT to use TTS - Last GitHub push was 695 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 Applio - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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 Applio? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. Applio: A simple, high-quality voice conversion tool focused on ease of use and performance.. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over Applio? Choose TTS over Applio when License: TTS is MPL-2.0, Applio is MIT; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Inference & Serving. ### When should I choose Applio over TTS? Choose Applio over TTS when License: Applio is MIT, TTS is MPL-2.0; Tags unique to Applio: ai, applio, rvc, speech; Also covers Developer Tools. ### When should I avoid TTS? Last GitHub push was 695 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 Applio? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is TTS or Applio more popular on GitHub? TTS has more GitHub stars (45,737 vs 3,467). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and Applio open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, Applio: MIT). ### Where can I find alternatives to TTS or Applio? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [Applio alternatives](/tools/iahispano-applio/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [Applio markdown twin](/tools/iahispano-applio/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-iahispano-applio.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or Applio? TTS: Dormant. Applio: 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 Applio? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [Applio trust report](/tools/iahispano-applio/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/_