--- title: "dograh vs dia2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-nari-labs-dia2" tools: ["dograh-hq-dograh", "nari-labs-dia2"] --- # dograh vs dia2 *GraphCanon updated Sep 20, 2026* ## Verdict Pick dograh when license: dograh is BSD-2-Clause, dia2 is Apache-2.0; pick dia2 when license: dia2 is Apache-2.0, dograh is BSD-2-Clause. [dograh](https://app.dograh.com) reports 5.7k GitHub stars, 1.4k forks, and 86 open issues, last pushed Sep 19, 2026. [dia2](https://github.com/nari-labs/dia2) has 1.2k stars, 102 forks, and 5 open issues, last pushed Nov 29, 2025. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [dia2's repository](https://github.com/nari-labs/dia2). | | [dograh](/tools/dograh-hq-dograh.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | TTS model capable of streaming conversational audio in real-time. | | Stars | 5,696 | 1,180 | | Forks | 1,426 | 102 | | Open issues | 86 | 5 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | - | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Apache-2.0 | | Categories | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 295d | | Open issues (now) | 86 | 5 | | Stars delta | +632 (30d) | +20 (30d) | | Open issues delta | +66 (30d) | 0 (30d) | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/nari-labs-dia2/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, dia2 is Apache-2.0. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose dia2 if… - License: dia2 is Apache-2.0, dograh is BSD-2-Clause. - Tags unique to dia2: open-weight. - When you need real-time streaming capabilities for text-to-speech applications. ## When NOT to use dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony 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 dograh and dia2? dograh: Self-hosted open source voice AI platform. 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 dograh over dia2? Choose dograh over dia2 when License: dograh is BSD-2-Clause, dia2 is Apache-2.0; Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose dia2 over dograh? Choose dia2 over dograh when License: dia2 is Apache-2.0, dograh is BSD-2-Clause; Tags unique to dia2: open-weight; When you need real-time streaming capabilities for text-to-speech applications. ### When should I avoid dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony 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 dograh or dia2 more popular on GitHub? dograh has more GitHub stars (5,696 vs 1,180). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and dia2 open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, dia2: Apache-2.0). ### Where can I find alternatives to dograh or dia2? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [dia2 alternatives](/tools/nari-labs-dia2/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/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/dograh-hq-dograh-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, dograh or dia2? dograh: 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 dograh and dia2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [dia2 trust report](/tools/nari-labs-dia2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - 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/_