--- title: "dc_tts vs GPT-SoVITS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-rvc-boss-gpt-sovits" tools: ["kyubyong-dc-tts", "rvc-boss-gpt-sovits"] --- # dc_tts vs GPT-SoVITS *GraphCanon updated Jul 11, 2026* ## Verdict Pick dc_tts when license: dc_tts is Apache-2.0, GPT-SoVITS is MIT; pick GPT-SoVITS when license: GPT-SoVITS is MIT, dc_tts is Apache-2.0. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) has 60k stars, 6.5k forks, and 873 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [GPT-SoVITS's repository](https://github.com/RVC-Boss/GPT-SoVITS). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS: yet another text-to-speech model | 1 min voice data can also be used to train a good TTS model! (few shot voice cloning) | | Stars | 1,156 | 59,643 | | Forks | 360 | 6,507 | | Open issues | 68 | 873 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, Speech & Audio | Computer Vision, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1183d | 1d | | Open issues (now) | 68 | 873 | | Security scan | No lockfile | 39 low (39 low) | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/rvc-boss-gpt-sovits/trust.md) | ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, GPT-SoVITS is MIT. - Tags unique to dc_tts: speech, speech-to-text. - Leaner open-issue backlog (68). ### Choose GPT-SoVITS if… - License: GPT-SoVITS is MIT, dc_tts is Apache-2.0. - Tags unique to GPT-SoVITS: text-to-speech, vits, voice-clone, voice-cloneai. - Also covers Computer Vision. - GPT-SoVITS ships Docker support for self-hosted deployment. ## When NOT to use dc_tts - Last GitHub push was 1184 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use GPT-SoVITS - 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 dc_tts and GPT-SoVITS? dc_tts: A TensorFlow Implementation of DC-TTS: yet another text-to-speech model. GPT-SoVITS: 1 min voice data can also be used to train a good TTS model! (few shot voice cloning). See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over GPT-SoVITS? Choose dc_tts over GPT-SoVITS when License: dc_tts is Apache-2.0, GPT-SoVITS is MIT; Tags unique to dc_tts: speech, speech-to-text; Leaner open-issue backlog (68). ### When should I choose GPT-SoVITS over dc_tts? Choose GPT-SoVITS over dc_tts when License: GPT-SoVITS is MIT, dc_tts is Apache-2.0; Tags unique to GPT-SoVITS: text-to-speech, vits, voice-clone, voice-cloneai; Also covers Computer Vision; GPT-SoVITS ships Docker support for self-hosted deployment. ### When should I avoid dc_tts? Last GitHub push was 1184 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid GPT-SoVITS? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is dc_tts or GPT-SoVITS more popular on GitHub? GPT-SoVITS has more GitHub stars (59,643 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and GPT-SoVITS open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, GPT-SoVITS: MIT). ### Where can I find alternatives to dc_tts or GPT-SoVITS? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [GPT-SoVITS alternatives](/tools/rvc-boss-gpt-sovits/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [GPT-SoVITS markdown twin](/tools/rvc-boss-gpt-sovits/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/kyubyong-dc-tts-vs-rvc-boss-gpt-sovits.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or GPT-SoVITS? dc_tts: Dormant. GPT-SoVITS: 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 dc_tts and GPT-SoVITS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [GPT-SoVITS trust report](/tools/rvc-boss-gpt-sovits/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kyubyong-dc-tts`](/api/graphcanon/graph?tool=kyubyong-dc-tts) - 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/_