--- title: "TTS vs dia2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mozilla-tts-vs-nari-labs-dia2" tools: ["mozilla-tts", "nari-labs-dia2"] --- # TTS vs dia2 *GraphCanon updated Jul 30, 2026* ## Verdict Pick TTS when tTS is primarily Jupyter Notebook; dia2 is Python; pick dia2 when dia2 is primarily Python; TTS is Jupyter Notebook. [TTS](https://github.com/mozilla/TTS) reports 10k GitHub stars, 1.3k forks, and 37 open issues, last pushed Nov 9, 2023. [dia2](https://github.com/nari-labs/dia2) has 1.2k stars, 99 forks, and 5 open issues, last pushed Nov 29, 2025. Figures are from public GitHub metadata via [TTS's repository](https://github.com/mozilla/TTS) and [dia2's repository](https://github.com/nari-labs/dia2). | | [TTS](/tools/mozilla-tts.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Tagline | Deep learning for Text to Speech | TTS model capable of streaming conversational audio in real-time. | | Stars | 10,165 | 1,160 | | Forks | 1,322 | 99 | | Open issues | 37 | 5 | | Language | Jupyter Notebook | Python | | Adopt for | TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8. | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/mozilla-tts.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 992d | 243d | | Open issues (now) | 37 | 5 | | Full report | [trust report](/tools/mozilla-tts/trust.md) | [trust report](/tools/nari-labs-dia2/trust.md) | ## Decision facts: TTS - **Adopt for:** TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8. ## Choose when ### Choose TTS if… - TTS is primarily Jupyter Notebook; dia2 is Python. - License: TTS is MPL-2.0, dia2 is Apache-2.0. - Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts. - Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks. ### Choose dia2 if… - dia2 is primarily Python; TTS is Jupyter Notebook. - License: dia2 is Apache-2.0, TTS is MPL-2.0. - Tags unique to dia2: open-weight, text-to-speech. - When you need real-time streaming capabilities for text-to-speech applications. ## When NOT to use TTS - Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases. - Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup. ## When NOT to use dia2 - For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. - If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ## Common questions ### What is the difference between TTS and dia2? TTS: Deep learning for Text to Speech. dia2: TTS model capable of streaming conversational audio in real-time.. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over dia2? Choose TTS over dia2 when TTS is primarily Jupyter Notebook; dia2 is Python; License: TTS is MPL-2.0, dia2 is Apache-2.0; Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts; Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks. ### When should I choose dia2 over TTS? Choose dia2 over TTS when dia2 is primarily Python; TTS is Jupyter Notebook; License: dia2 is Apache-2.0, TTS is MPL-2.0; Tags unique to dia2: open-weight, text-to-speech; When you need real-time streaming capabilities for text-to-speech applications. ### When should I avoid TTS? Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases. Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup. ### When should I avoid dia2? For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ### Is TTS or dia2 more popular on GitHub? TTS has more GitHub stars (10,165 vs 1,160). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and dia2 open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, dia2: Apache-2.0). ### Where can I find alternatives to TTS or dia2? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/mozilla-tts/alternatives) and [dia2 alternatives](/tools/nari-labs-dia2/alternatives) ([TTS markdown twin](/tools/mozilla-tts/alternatives.md), [dia2 markdown twin](/tools/nari-labs-dia2/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/mozilla-tts-vs-nari-labs-dia2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or dia2? TTS: Dormant. dia2: 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 dia2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/mozilla-tts/trust); [dia2 trust report](/tools/nari-labs-dia2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mozilla-tts`](/api/graphcanon/graph?tool=mozilla-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/_