--- title: "dograh vs CosyVoice" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-funaudiollm-cosyvoice" tools: ["dograh-hq-dograh", "funaudiollm-cosyvoice"] --- # dograh vs CosyVoice *GraphCanon updated Aug 23, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick CosyVoice if cosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) has 23k stars, 2.6k forks, and 719 open issues, last pushed May 25, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice). | | [dograh](/tools/dograh-hq-dograh.md) | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | | Stars | 5,064 | 22,870 | | Forks | 1,185 | 2,631 | | Open issues | 20 | 719 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Apache-2.0 | | Categories | Inference & Serving, Speech & Audio | Inference & Serving, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 89d | | Open issues (now) | 20 | 719 | | Stars delta | Unknown | +497 (30d) | | Open issues delta | Unknown | -37 (30d) | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: CosyVoice - **Adopt for:** CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, CosyVoice is Apache-2.0. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text. - You need on-premise deployment for better security or data control ### Choose CosyVoice if… - License: CosyVoice is Apache-2.0, dograh is BSD-2-Clause. - Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt. - Also covers Model Training. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ## 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 CosyVoice - If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. - When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ## Common questions ### What is the difference between dograh and CosyVoice? dograh: Self-hosted open source voice AI platform. CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over CosyVoice? Choose dograh over CosyVoice when License: dograh is BSD-2-Clause, CosyVoice is Apache-2.0; Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text; You need on-premise deployment for better security or data control. ### When should I choose CosyVoice over dograh? Choose CosyVoice over dograh when License: CosyVoice is Apache-2.0, dograh is BSD-2-Clause; Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Model Training; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### 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 CosyVoice? If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ### Is dograh or CosyVoice more popular on GitHub? CosyVoice has more GitHub stars (22,870 vs 5,064). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and CosyVoice open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, CosyVoice: Apache-2.0). ### Where can I find alternatives to dograh or CosyVoice? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/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-funaudiollm-cosyvoice.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or CosyVoice? dograh: Very active. CosyVoice: Steady. 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 CosyVoice? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [CosyVoice trust report](/tools/funaudiollm-cosyvoice/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/_