--- title: "mlx-audio vs dia2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/blaizzy-mlx-audio-vs-nari-labs-dia2" tools: ["blaizzy-mlx-audio", "nari-labs-dia2"] --- # mlx-audio vs dia2 *GraphCanon updated Jul 30, 2026* ## Verdict Pick mlx-audio when license: mlx-audio is MIT, dia2 is Apache-2.0; pick dia2 when license: dia2 is Apache-2.0, mlx-audio is MIT. [mlx-audio](https://blaizzy.github.io/mlx-audio/) reports 7.6k GitHub stars, 680 forks, and 88 open issues, last pushed Jul 28, 2026. [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 [mlx-audio's repository](https://github.com/Blaizzy/mlx-audio) and [dia2's repository](https://github.com/nari-labs/dia2). | | [mlx-audio](/tools/blaizzy-mlx-audio.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Tagline | A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library on Apple's MLX framework. | TTS model capable of streaming conversational audio in real-time. | | Stars | 7,639 | 1,160 | | Forks | 680 | 99 | | Open issues | 88 | 5 | | Language | Python | Python | | Adopt for | mlx-audio is designed to offer an efficient speech processing library on Apple's MLX framework for tasks involving TTS, STT, and STS operations. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mlx-audio](/tools/blaizzy-mlx-audio.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 243d | | Open issues (now) | 88 | 5 | | Owner type | User | Organization | | Full report | [trust report](/tools/blaizzy-mlx-audio/trust.md) | [trust report](/tools/nari-labs-dia2/trust.md) | ## Decision facts: mlx-audio - **Adopt for:** mlx-audio is designed to offer an efficient speech processing library on Apple's MLX framework for tasks involving TTS, STT, and STS operations. ## Choose when ### Choose mlx-audio if… - License: mlx-audio is MIT, dia2 is Apache-2.0. - Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal. - Use mlx-audio if you require high performance in text-to-speech, speech-to-text, or speech-to-speech transformations specifically optimized for Apple Silicon Macs (M1/M2/M3/M4). ### Choose dia2 if… - License: dia2 is Apache-2.0, mlx-audio is MIT. - Tags unique to dia2: open-weight. - When you need real-time streaming capabilities for text-to-speech applications. ## When NOT to use mlx-audio - Do not use mlx-audio if your project or target hardware is not based on Apple Silicon. It requires specifically designed optimizations that do not apply to Intel processors. - Avoid mlx-audio when the dependency on ffmpeg for audio format handling becomes a limitation due to licensing, compatibility with existing pipelines, or specific codec requirements. - Do not opt for mlx-audio if your application does not require seamless integration within the MLX framework and does not gain any significant benefit from its specialized support. ## 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 mlx-audio and dia2? mlx-audio: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library on Apple's MLX framework.. 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 mlx-audio over dia2? Choose mlx-audio over dia2 when License: mlx-audio is MIT, dia2 is Apache-2.0; Tags unique to mlx-audio: apple-silicon, audio-processing, mlx, multimodal; Use mlx-audio if you require high performance in text-to-speech, speech-to-text, or speech-to-speech transformations specifically optimized for Apple Silicon Macs (M1/M2/M3/M4). ### When should I choose dia2 over mlx-audio? Choose dia2 over mlx-audio when License: dia2 is Apache-2.0, mlx-audio is MIT; Tags unique to dia2: open-weight; When you need real-time streaming capabilities for text-to-speech applications. ### When should I avoid mlx-audio? Do not use mlx-audio if your project or target hardware is not based on Apple Silicon. It requires specifically designed optimizations that do not apply to Intel processors. Avoid mlx-audio when the dependency on ffmpeg for audio format handling becomes a limitation due to licensing, compatibility with existing pipelines, or specific codec requirements. Do not opt for mlx-audio if your application does not require seamless integration within the MLX framework and does not gain any significant benefit from its specialized support. ### 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 mlx-audio or dia2 more popular on GitHub? mlx-audio has more GitHub stars (7,639 vs 1,160). Stars measure visibility, not whether either tool fits your constraints. ### Are mlx-audio and dia2 open source? Yes - both are open-source projects on GitHub (mlx-audio: MIT, dia2: Apache-2.0). ### Where can I find alternatives to mlx-audio or dia2? GraphCanon lists graph-backed alternatives at [mlx-audio alternatives](/tools/blaizzy-mlx-audio/alternatives) and [dia2 alternatives](/tools/nari-labs-dia2/alternatives) ([mlx-audio markdown twin](/tools/blaizzy-mlx-audio/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/blaizzy-mlx-audio-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, mlx-audio or dia2? mlx-audio: Very active. 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 mlx-audio and dia2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mlx-audio trust report](/tools/blaizzy-mlx-audio/trust); [dia2 trust report](/tools/nari-labs-dia2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=blaizzy-mlx-audio`](/api/graphcanon/graph?tool=blaizzy-mlx-audio) - 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/_