Comparison
dc_tts vs silero-models
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.
Markdown twin · dc_tts alternatives · silero-models alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | dc_tts | silero-models |
|---|---|---|
| Maintenance | Dormant (1203d since push) As of 3w · github_public_v1 | Steady (55d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dc_tts
- A TensorFlow Implementation of DC-TTS
- silero-models
- Silero Models provide simple access to pre-trained text-to-speech models
Stars
- dc_tts
- 1.2k
- silero-models
- 6.0k
Forks
- dc_tts
- 360
- silero-models
- 369
Open issues
- dc_tts
- 68
- silero-models
- 12
Language
- dc_tts
- Python
- silero-models
- Jupyter Notebook
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- silero-models
- Provides simple access to pre-trained text-to-speech models for various languages via PyTorch Hub, pip installation, and manual caching.
Persona
- dc_tts
- -
- silero-models
- -
Runtime
- dc_tts
- -
- silero-models
- -
License
- dc_tts
- Apache-2.0
- silero-models
- Other
Last pushed
- dc_tts
- Apr 14, 2023
- silero-models
- Jun 4, 2026
Categories
- dc_tts
- Speech & Audio
- silero-models
- Speech & Audio
Trust and health
Maintenance
- dc_tts
- Dormant (18%)
- silero-models
- Steady (60%)
Days since push
- dc_tts
- 1203d
- silero-models
- 55d
Open issues (now)
- dc_tts
- 68
- silero-models
- 12
OSV dependency advisories
- dc_tts
- No lockfile (source not queried)
- silero-models
- No published findings from this source as of 2026-07-11
Full report
- dc_tts
- Trust report
- silero-models
- Trust report
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.
When NOT to use dc_tts
- Last GitHub push was 1227 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Kyubyong/dc_tts) · observed Jul 30, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Jul 30, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (snakers4/silero-models) · observed Jul 29, 2026
- GitHub forks (snakers4/silero-models) · observed Jul 29, 2026
- Last push (snakers4/silero-models) · observed Jun 4, 2026
- License file (Other) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dc_tts 1.2k · silero-models 6.0k (synced Jul 30, 2026).
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 1227 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 and silero-models alternatives (dc_tts markdown twin, silero-models markdown twin), 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 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; silero-models trust report.