--- title: "TTS vs dia" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-nari-labs-dia" tools: ["coqui-ai-tts", "nari-labs-dia"] --- # TTS vs dia *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, dia is Apache-2.0; pick dia when license: dia 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. [dia](https://github.com/nari-labs/dia) has 19k stars, 1.7k forks, and 91 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [dia's repository](https://github.com/nari-labs/dia). | | [TTS](/tools/coqui-ai-tts.md) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | A TTS model capable of generating ultra-realistic dialogue in one pass. | | Stars | 45,737 | 19,340 | | Forks | 6,152 | 1,687 | | Open issues | 4 | 91 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | Model Training, Inference & Serving, Speech & Audio | Model Training, Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 693d | 233d | | Open issues (now) | 4 | 91 | | Security scan | 137 low (137 low) | No lockfile | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/nari-labs-dia/trust.md) | ## Shared compatibility - **Python**: [TTS](/tools/coqui-ai-tts.md) - Python runtime; [dia](/tools/nari-labs-dia.md) - Python runtime ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, dia is Apache-2.0. - Tags unique to TTS: deep-learning, glow-tts, hifigan, pytorch. - TTS ships Docker support for self-hosted deployment. ### Choose dia if… - License: dia is Apache-2.0, TTS is MPL-2.0. - Tags unique to dia: ai, text-to-speech, open-weight. - More recently updated (last pushed Nov 19, 2025). ## 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 dia - Last GitHub push was 234 days ago (slowing maintenance, Nov 19, 2025). Validate activity before betting a new project on dia. - 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. ## Common questions ### What is the difference between TTS and dia? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. dia: A TTS model capable of generating ultra-realistic dialogue in one pass.. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over dia? Choose TTS over dia when License: TTS is MPL-2.0, dia is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, pytorch; TTS ships Docker support for self-hosted deployment. ### When should I choose dia over TTS? Choose dia over TTS when License: dia is Apache-2.0, TTS is MPL-2.0; Tags unique to dia: ai, text-to-speech, open-weight; More recently updated (last pushed Nov 19, 2025). ### 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 dia? Last GitHub push was 234 days ago (slowing maintenance, Nov 19, 2025). Validate activity before betting a new project on dia. 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. ### Is TTS or dia more popular on GitHub? TTS has more GitHub stars (45,737 vs 19,340). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and dia open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, dia: Apache-2.0). ### Where can I find alternatives to TTS or dia? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [dia alternatives](/tools/nari-labs-dia/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [dia markdown twin](/tools/nari-labs-dia/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-nari-labs-dia.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or dia? TTS: Dormant. dia: 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 dia? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [dia trust report](/tools/nari-labs-dia/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/_