--- title: "dograh vs VieNeu-TTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-pnnbao97-vieneu-tts" tools: ["dograh-hq-dograh", "pnnbao97-vieneu-tts"] --- # dograh vs VieNeu-TTS *GraphCanon updated Sep 20, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick VieNeu-TTS if vieNeu-TTS offers on-device Vietnamese text-to-speech services in real-time with CPU inference, ideal for environments needing local processing. [dograh](https://app.dograh.com) reports 5.7k GitHub stars, 1.4k forks, and 86 open issues, last pushed Sep 19, 2026. [VieNeu-TTS](https://www.vieneu.io) has 2.6k stars, 796 forks, and 12 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [VieNeu-TTS's repository](https://github.com/pnnbao97/VieNeu-TTS). | | [dograh](/tools/dograh-hq-dograh.md) | [VieNeu-TTS](/tools/pnnbao97-vieneu-tts.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Vietnamese TTS with instant voice cloning, on-device and real-time CPU inference | | Stars | 5,696 | 2,632 | | Forks | 1,426 | 796 | | Open issues | 86 | 12 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | VieNeu-TTS offers on-device Vietnamese text-to-speech services in real-time with CPU inference, ideal for environments needing local processing. | | 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) | [VieNeu-TTS](/tools/pnnbao97-vieneu-tts.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 86 | 12 | | Stars delta | +632 (30d) | +374 (30d) | | Open issues delta | +66 (30d) | +4 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/pnnbao97-vieneu-tts/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: VieNeu-TTS - **Adopt for:** VieNeu-TTS offers on-device Vietnamese text-to-speech services in real-time with CPU inference, ideal for environments needing local processing. ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, VieNeu-TTS 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 VieNeu-TTS if… - License: VieNeu-TTS is Apache-2.0, dograh is BSD-2-Clause. - Tags unique to VieNeu-TTS: deep-learning, on-device-ml, real-time, speech-synthesis. - You require a text-to-speech solution specifically tailored for the Vietnamese language. ## 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 VieNeu-TTS - The application demands TTS services in languages other than Vietnamese. - You seek a solution that performs inference exclusively on GPUs as VieNeu-TTS prioritizes CPU usage even with GPU availability. - Deployment needs are not compatible with on-device processing, and cloud-based TTS solutions are preferred. ## Common questions ### What is the difference between dograh and VieNeu-TTS? dograh: Self-hosted open source voice AI platform. VieNeu-TTS: Vietnamese TTS with instant voice cloning, on-device and real-time CPU inference. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over VieNeu-TTS? Choose dograh over VieNeu-TTS when License: dograh is BSD-2-Clause, VieNeu-TTS 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 VieNeu-TTS over dograh? Choose VieNeu-TTS over dograh when License: VieNeu-TTS is Apache-2.0, dograh is BSD-2-Clause; Tags unique to VieNeu-TTS: deep-learning, on-device-ml, real-time, speech-synthesis; You require a text-to-speech solution specifically tailored for the Vietnamese language. ### 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 VieNeu-TTS? The application demands TTS services in languages other than Vietnamese. You seek a solution that performs inference exclusively on GPUs as VieNeu-TTS prioritizes CPU usage even with GPU availability. Deployment needs are not compatible with on-device processing, and cloud-based TTS solutions are preferred. ### Is dograh or VieNeu-TTS more popular on GitHub? dograh has more GitHub stars (5,696 vs 2,632). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and VieNeu-TTS open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, VieNeu-TTS: Apache-2.0). ### Where can I find alternatives to dograh or VieNeu-TTS? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [VieNeu-TTS alternatives](/tools/pnnbao97-vieneu-tts/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [VieNeu-TTS markdown twin](/tools/pnnbao97-vieneu-tts/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-pnnbao97-vieneu-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or VieNeu-TTS? dograh: Very active. VieNeu-TTS: Very active. 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 VieNeu-TTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [VieNeu-TTS trust report](/tools/pnnbao97-vieneu-tts/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/_