--- title: "dc_tts vs MeloTTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-myshell-ai-melotts" tools: ["kyubyong-dc-tts", "myshell-ai-melotts"] --- # dc_tts vs MeloTTS *GraphCanon updated Jul 30, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick MeloTTS if meloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [MeloTTS](https://github.com/myshell-ai/MeloTTS) has 7.6k stars, 1.1k forks, and 232 open issues, last pushed Dec 24, 2024. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [MeloTTS's repository](https://github.com/myshell-ai/MeloTTS). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [MeloTTS](/tools/myshell-ai-melotts.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | High-quality multi-lingual text-to-speech library by MyShell.ai | | Stars | 1,156 | 7,551 | | Forks | 360 | 1,059 | | Open issues | 68 | 232 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [MeloTTS](/tools/myshell-ai-melotts.md) | | --- | --- | --- | | Days since push | 1203d | 581d | | Open issues (now) | 68 | 232 | | Owner type | User | Organization | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/myshell-ai-melotts/trust.md) | ## Decision facts: dc_tts - **Requirements:** Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy. - **Adopt for:** dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## Decision facts: MeloTTS - **Adopt for:** MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, MeloTTS is MIT. - Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.. - Tags unique to dc_tts: speech, speech-to-text, tensorflow, tts. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### Choose MeloTTS if… - License: MeloTTS is MIT, dc_tts is Apache-2.0. - Tags unique to MeloTTS: chinese, english, french, japanese. - MeloTTS ships Docker support for self-hosted deployment. - If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution. ## When NOT to use dc_tts - Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ## When NOT to use MeloTTS - If your application's required languages are not covered by MeloTTS, such as Arabic or Russian. - In situations where you need more customization options for TTS than what the library provides out-of-the-box. ## Common questions ### What is the difference between dc_tts and MeloTTS? dc_tts: A TensorFlow Implementation of DC-TTS. MeloTTS: High-quality multi-lingual text-to-speech library by MyShell.ai. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over MeloTTS? Choose dc_tts over MeloTTS when License: dc_tts is Apache-2.0, MeloTTS is MIT; Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.; Tags unique to dc_tts: speech, speech-to-text, tensorflow, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I choose MeloTTS over dc_tts? Choose MeloTTS over dc_tts when License: MeloTTS is MIT, dc_tts is Apache-2.0; Tags unique to MeloTTS: chinese, english, french, japanese; MeloTTS ships Docker support for self-hosted deployment; If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution. ### When should I avoid dc_tts? Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ### When should I avoid MeloTTS? If your application's required languages are not covered by MeloTTS, such as Arabic or Russian. In situations where you need more customization options for TTS than what the library provides out-of-the-box. ### Is dc_tts or MeloTTS more popular on GitHub? MeloTTS has more GitHub stars (7,551 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and MeloTTS open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, MeloTTS: MIT). ### Where can I find alternatives to dc_tts or MeloTTS? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [MeloTTS alternatives](/tools/myshell-ai-melotts/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [MeloTTS markdown twin](/tools/myshell-ai-melotts/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-myshell-ai-melotts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or MeloTTS? dc_tts: Dormant. MeloTTS: 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 dc_tts and MeloTTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [MeloTTS trust report](/tools/myshell-ai-melotts/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/_