--- title: "TTS vs dc_tts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-kyubyong-dc-tts" tools: ["coqui-ai-tts", "kyubyong-dc-tts"] --- # TTS vs dc_tts *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, dc_tts is Apache-2.0; pick dc_tts when license: dc_tts is Apache-2.0, TTS is MPL-2.0. [TTS](http://coqui.ai) reports 46k GitHub stars, 6.2k forks, and 4 open issues, last pushed Aug 16, 2024. [dc_tts](https://github.com/Kyubyong/dc_tts) has 1.2k stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [dc_tts's repository](https://github.com/Kyubyong/dc_tts). | | [TTS](/tools/coqui-ai-tts.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | A TensorFlow Implementation of DC-TTS: yet another text-to-speech model | | Stars | 45,737 | 1,156 | | Forks | 6,152 | 360 | | Open issues | 4 | 68 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training, Speech & Audio | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Days since push | 693d | 1183d | | Open issues (now) | 4 | 68 | | Owner type | Organization | User | | Security scan | 137 low (137 low) | No lockfile | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/kyubyong-dc-tts/trust.md) | ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, dc_tts is Apache-2.0. - Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan. - Also covers Inference & Serving. - TTS ships Docker support for self-hosted deployment. ### Choose dc_tts if… - License: dc_tts is Apache-2.0, TTS is MPL-2.0. - Tags unique to dc_tts: speech, speech-to-text, tts. ## When NOT to use TTS - Last GitHub push was 695 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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. ## Common questions ### What is the difference between TTS and dc_tts? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. dc_tts: A TensorFlow Implementation of DC-TTS: yet another text-to-speech model. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over dc_tts? Choose TTS over dc_tts when License: TTS is MPL-2.0, dc_tts is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Inference & Serving; TTS ships Docker support for self-hosted deployment. ### When should I choose dc_tts over TTS? Choose dc_tts over TTS when License: dc_tts is Apache-2.0, TTS is MPL-2.0; Tags unique to dc_tts: speech, speech-to-text, tts. ### When should I avoid TTS? Last GitHub push was 695 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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. ### Is TTS or dc_tts more popular on GitHub? TTS has more GitHub stars (45,737 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and dc_tts open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, dc_tts: Apache-2.0). ### Where can I find alternatives to TTS or dc_tts? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [dc_tts markdown twin](/tools/kyubyong-dc-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/coqui-ai-tts-vs-kyubyong-dc-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or dc_tts? TTS: Dormant. dc_tts: 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 TTS and dc_tts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [dc_tts trust report](/tools/kyubyong-dc-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coqui-ai-tts`](/api/graphcanon/graph?tool=coqui-ai-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/_