--- title: "dc_tts vs TTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-mozilla-tts" tools: ["kyubyong-dc-tts", "mozilla-tts"] --- # dc_tts vs TTS *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 TTS if tTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [TTS](https://github.com/mozilla/TTS) has 10k stars, 1.3k forks, and 37 open issues, last pushed Nov 9, 2023. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [TTS's repository](https://github.com/mozilla/TTS). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [TTS](/tools/mozilla-tts.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Deep learning for Text to Speech | | Stars | 1,156 | 10,165 | | Forks | 360 | 1,322 | | Open issues | 68 | 37 | | Language | Python | Jupyter Notebook | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MPL-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [TTS](/tools/mozilla-tts.md) | | --- | --- | --- | | Days since push | 1203d | 992d | | Open issues (now) | 68 | 37 | | Owner type | User | Organization | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/mozilla-tts/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: TTS - **Adopt for:** TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8. ## Choose when ### Choose dc_tts if… - dc_tts is primarily Python; TTS is Jupyter Notebook. - License: dc_tts is Apache-2.0, TTS is MPL-2.0. - 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 TTS if… - TTS is primarily Jupyter Notebook; dc_tts is Python. - License: TTS is MPL-2.0, dc_tts is Apache-2.0. - Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts. - Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks. ## 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 TTS - Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases. - Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup. ## Common questions ### What is the difference between dc_tts and TTS? dc_tts: A TensorFlow Implementation of DC-TTS. TTS: Deep learning for Text to Speech. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over TTS? Choose dc_tts over TTS when dc_tts is primarily Python; TTS is Jupyter Notebook; License: dc_tts is Apache-2.0, TTS is MPL-2.0; 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 TTS over dc_tts? Choose TTS over dc_tts when TTS is primarily Jupyter Notebook; dc_tts is Python; License: TTS is MPL-2.0, dc_tts is Apache-2.0; Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts; Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks. ### 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 TTS? Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases. Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup. ### Is dc_tts or TTS more popular on GitHub? TTS has more GitHub stars (10,165 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and TTS open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, TTS: MPL-2.0). ### Where can I find alternatives to dc_tts or TTS? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [TTS alternatives](/tools/mozilla-tts/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [TTS markdown twin](/tools/mozilla-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/kyubyong-dc-tts-vs-mozilla-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or TTS? dc_tts: Dormant. 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 dc_tts and TTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [TTS trust report](/tools/mozilla-tts/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/_