--- title: "dograh vs dia" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-nari-labs-dia" tools: ["dograh-hq-dograh", "nari-labs-dia"] --- # dograh vs dia *GraphCanon updated Jul 29, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick dia if dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [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 [dograh's repository](https://github.com/dograh-hq/dograh) and [dia's repository](https://github.com/nari-labs/dia). | | [dograh](/tools/dograh-hq-dograh.md) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | A TTS model for generating ultra-realistic dialogue | | Stars | 5,064 | 19,361 | | Forks | 1,185 | 1,688 | | Open issues | 20 | 91 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. | | 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) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 251d | | Open issues (now) | 20 | 91 | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/nari-labs-dia/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: dia - **Adopt for:** Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, dia 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 dia if… - License: dia is Apache-2.0, dograh is BSD-2-Clause. - Tags unique to dia: dialogue-generation, tts. - When you require precise control over voice and script in the creation of highly realistic dialogues ## 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 dia - If your setup lacks a GPU, as Dia has not yet added CPU support - In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ## Common questions ### What is the difference between dograh and dia? dograh: Self-hosted open source voice AI platform. dia: A TTS model for generating ultra-realistic dialogue. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over dia? Choose dograh over dia when License: dograh is BSD-2-Clause, dia 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 dia over dograh? Choose dia over dograh when License: dia is Apache-2.0, dograh is BSD-2-Clause; Tags unique to dia: dialogue-generation, tts; When you require precise control over voice and script in the creation of highly realistic dialogues. ### 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 dia? If your setup lacks a GPU, as Dia has not yet added CPU support In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ### Is dograh or dia more popular on GitHub? dia has more GitHub stars (19,361 vs 5,064). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and dia open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, dia: Apache-2.0). ### Where can I find alternatives to dograh or dia? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [dia alternatives](/tools/nari-labs-dia/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/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/dograh-hq-dograh-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, dograh or dia? dograh: Very active. 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 dograh and dia? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [dia trust report](/tools/nari-labs-dia/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/_