--- title: "CosyVoice vs automl-gs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-minimaxir-automl-gs" tools: ["funaudiollm-cosyvoice", "minimaxir-automl-gs"] --- # CosyVoice vs automl-gs *GraphCanon updated Jul 12, 2026* ## Verdict Pick CosyVoice when license: CosyVoice is Apache-2.0, automl-gs is MIT; pick automl-gs when license: automl-gs is MIT, CosyVoice is Apache-2.0. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) reports 22k GitHub stars, 2.5k forks, and 767 open issues, last pushed May 25, 2026. [automl-gs](https://github.com/minimaxir/automl-gs) has 1.9k stars, 181 forks, and 28 open issues, last pushed Oct 22, 2019. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [automl-gs's repository](https://github.com/minimaxir/automl-gs). | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [automl-gs](/tools/minimaxir-automl-gs.md) | | --- | --- | --- | | Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | Provide an input CSV and a target field to predict, generate a model + code to run it. | | Stars | 22,089 | 1,866 | | Forks | 2,545 | 181 | | Open issues | 767 | 28 | | Language | Python | Python | | 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. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, Model Training, Speech & Audio | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [automl-gs](/tools/minimaxir-automl-gs.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 46d | 2454d | | Open issues (now) | 767 | 28 | | Owner type | Organization | User | | Security scan | No lockfile | 2 high, 5 medium, 7 low (2 high, 5 medium, 7 low) | | Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/minimaxir-automl-gs/trust.md) | ## 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 CosyVoice if… - License: CosyVoice is Apache-2.0, automl-gs is MIT. - Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt. - Also covers Inference & Serving, Speech & Audio. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### Choose automl-gs if… - License: automl-gs is MIT, CosyVoice is Apache-2.0. - Tags unique to automl-gs: automl, keras, machine-learning, python. - Leaner open-issue backlog (28). ## 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. ## When NOT to use automl-gs - Last GitHub push was 2454 days ago (dormant maintenance, Oct 22, 2019). Validate activity before betting a new project on automl-gs. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between CosyVoice and automl-gs? CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. automl-gs: Provide an input CSV and a target field to predict, generate a model + code to run it.. See the comparison table for live GitHub stats and shared categories. ### When should I choose CosyVoice over automl-gs? Choose CosyVoice over automl-gs when License: CosyVoice is Apache-2.0, automl-gs is MIT; Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Inference & Serving, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### When should I choose automl-gs over CosyVoice? Choose automl-gs over CosyVoice when License: automl-gs is MIT, CosyVoice is Apache-2.0; Tags unique to automl-gs: automl, keras, machine-learning, python; Leaner open-issue backlog (28). ### 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. ### When should I avoid automl-gs? Last GitHub push was 2454 days ago (dormant maintenance, Oct 22, 2019). Validate activity before betting a new project on automl-gs. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is CosyVoice or automl-gs more popular on GitHub? CosyVoice has more GitHub stars (22,089 vs 1,866). Stars measure visibility, not whether either tool fits your constraints. ### Are CosyVoice and automl-gs open source? Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, automl-gs: MIT). ### Where can I find alternatives to CosyVoice or automl-gs? GraphCanon lists graph-backed alternatives at [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) and [automl-gs alternatives](/tools/minimaxir-automl-gs/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [automl-gs markdown twin](/tools/minimaxir-automl-gs/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/funaudiollm-cosyvoice-vs-minimaxir-automl-gs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CosyVoice or automl-gs? CosyVoice: Steady. automl-gs: Dormant. 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 CosyVoice and automl-gs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust); [automl-gs trust report](/tools/minimaxir-automl-gs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=funaudiollm-cosyvoice`](/api/graphcanon/graph?tool=funaudiollm-cosyvoice) - 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/_