--- title: "dc_tts vs silero-models" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-snakers4-silero-models" tools: ["kyubyong-dc-tts", "snakers4-silero-models"] --- # dc_tts vs silero-models *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 silero-models if provides simple access to pre-trained text-to-speech models for various languages via PyTorch Hub, pip installation, and manual caching. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [silero-models](https://github.com/snakers4/silero-models) has 6.0k stars, 369 forks, and 12 open issues, last pushed Jun 4, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [silero-models's repository](https://github.com/snakers4/silero-models). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [silero-models](/tools/snakers4-silero-models.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Silero Models provide simple access to pre-trained text-to-speech models | | Stars | 1,156 | 6,030 | | Forks | 360 | 369 | | Open issues | 68 | 12 | | Language | Python | Jupyter Notebook | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | Provides simple access to pre-trained text-to-speech models for various languages via PyTorch Hub, pip installation, and manual caching. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [silero-models](/tools/snakers4-silero-models.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1203d | 55d | | Open issues (now) | 68 | 12 | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/snakers4-silero-models/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: silero-models - **Adopt for:** Provides simple access to pre-trained text-to-speech models for various languages via PyTorch Hub, pip installation, and manual caching. ## Choose when ### Choose dc_tts if… - dc_tts is primarily Python; silero-models is Jupyter Notebook. - License: dc_tts is Apache-2.0, silero-models is Other. - 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 silero-models if… - silero-models is primarily Jupyter Notebook; dc_tts is Python. - License: silero-models is Other, dc_tts is Apache-2.0. - Tags unique to silero-models: armenian, azerbaijani, belarus, colab. - Need easy integration of text-to-speech functionalities in Jupyter Notebooks ## 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 silero-models - Require advanced customization of the speech synthesis process beyond provided options - Looking for a full end-to-end speech recognition (speech-to-text) solution, as this mainly focuses on text-to-speech ## Common questions ### What is the difference between dc_tts and silero-models? dc_tts: A TensorFlow Implementation of DC-TTS. silero-models: Silero Models provide simple access to pre-trained text-to-speech models. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over silero-models? Choose dc_tts over silero-models when dc_tts is primarily Python; silero-models is Jupyter Notebook; License: dc_tts is Apache-2.0, silero-models is Other; 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 silero-models over dc_tts? Choose silero-models over dc_tts when silero-models is primarily Jupyter Notebook; dc_tts is Python; License: silero-models is Other, dc_tts is Apache-2.0; Tags unique to silero-models: armenian, azerbaijani, belarus, colab; Need easy integration of text-to-speech functionalities in Jupyter Notebooks. ### 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 silero-models? Require advanced customization of the speech synthesis process beyond provided options Looking for a full end-to-end speech recognition (speech-to-text) solution, as this mainly focuses on text-to-speech ### Is dc_tts or silero-models more popular on GitHub? silero-models has more GitHub stars (6,030 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and silero-models open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, silero-models: Other). ### Where can I find alternatives to dc_tts or silero-models? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [silero-models alternatives](/tools/snakers4-silero-models/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [silero-models markdown twin](/tools/snakers4-silero-models/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-snakers4-silero-models.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or silero-models? dc_tts: Dormant. silero-models: Steady. 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 silero-models? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [silero-models trust report](/tools/snakers4-silero-models/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/_