Comparison
dc_tts vs GPT-SoVITS
Verdict
Pick dc_tts when license: dc_tts is Apache-2.0, GPT-SoVITS is MIT; pick GPT-SoVITS when license: GPT-SoVITS is MIT, dc_tts is Apache-2.0.
Markdown twin · dc_tts alternatives · GPT-SoVITS alternatives
GraphCanon updated today
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Trust & integrity
| Signal | dc_tts | GPT-SoVITS |
|---|---|---|
| Maintenance | Dormant (1183d since push) As of today · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 39 low (39 low) As of today · osv@v1 |
Tagline
- dc_tts
- A TensorFlow Implementation of DC-TTS: yet another text-to-speech model
- GPT-SoVITS
- 1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Stars
- dc_tts
- 1.2k
- GPT-SoVITS
- 60k
Forks
- dc_tts
- 360
- GPT-SoVITS
- 6.5k
Open issues
- dc_tts
- 68
- GPT-SoVITS
- 873
Language
- dc_tts
- Python
- GPT-SoVITS
- Python
Adopt for
- dc_tts
- -
- GPT-SoVITS
- -
Persona
- dc_tts
- -
- GPT-SoVITS
- -
Runtime
- dc_tts
- -
- GPT-SoVITS
- -
License
- dc_tts
- Apache-2.0
- GPT-SoVITS
- MIT
Last pushed
- dc_tts
- Apr 14, 2023
- GPT-SoVITS
- Jul 10, 2026
Categories
- dc_tts
- Model Training, Speech & Audio
- GPT-SoVITS
- Computer Vision, Model Training, Speech & Audio
Trust and health
Maintenance
- dc_tts
- Dormant (18%)
- GPT-SoVITS
- Very active (96%)
Days since push
- dc_tts
- 1183d
- GPT-SoVITS
- 1d
Open issues (now)
- dc_tts
- 68
- GPT-SoVITS
- 873
Security scan
- dc_tts
- No lockfile
- GPT-SoVITS
- 39 low (39 low)
Full report
- dc_tts
- Trust report
- GPT-SoVITS
- Trust report
Choose dc_tts if…
- License: dc_tts is Apache-2.0, GPT-SoVITS is MIT.
- Tags unique to dc_tts: speech, speech-to-text.
- Leaner open-issue backlog (68).
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.
Choose GPT-SoVITS if…
- License: GPT-SoVITS is MIT, dc_tts is Apache-2.0.
- Tags unique to GPT-SoVITS: text-to-speech, vits, voice-clone, voice-cloneai.
- Also covers Computer Vision.
- GPT-SoVITS ships Docker support for self-hosted deployment.
When NOT to use GPT-SoVITS
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 11, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Jul 11, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (RVC-Boss/GPT-SoVITS) · observed Jul 11, 2026
- GitHub forks (RVC-Boss/GPT-SoVITS) · observed Jul 11, 2026
- Last push (RVC-Boss/GPT-SoVITS) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dc_tts 1.2k · GPT-SoVITS 60k (synced Jul 11, 2026).
Common questions
- What is the difference between dc_tts and GPT-SoVITS?
- dc_tts: A TensorFlow Implementation of DC-TTS: yet another text-to-speech model. GPT-SoVITS: 1 min voice data can also be used to train a good TTS model! (few shot voice cloning). See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over GPT-SoVITS?
- Choose dc_tts over GPT-SoVITS when License: dc_tts is Apache-2.0, GPT-SoVITS is MIT; Tags unique to dc_tts: speech, speech-to-text; Leaner open-issue backlog (68).
- When should I choose GPT-SoVITS over dc_tts?
- Choose GPT-SoVITS over dc_tts when License: GPT-SoVITS is MIT, dc_tts is Apache-2.0; Tags unique to GPT-SoVITS: text-to-speech, vits, voice-clone, voice-cloneai; Also covers Computer Vision; GPT-SoVITS ships Docker support for self-hosted deployment.
- 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.
- When should I avoid GPT-SoVITS?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is dc_tts or GPT-SoVITS more popular on GitHub?
- GPT-SoVITS has more GitHub stars (59,643 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and GPT-SoVITS open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, GPT-SoVITS: MIT).
- Where can I find alternatives to dc_tts or GPT-SoVITS?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and GPT-SoVITS alternatives (dc_tts markdown twin, GPT-SoVITS 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 GPT-SoVITS?
- dc_tts: Dormant. GPT-SoVITS: Very active. 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 GPT-SoVITS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; GPT-SoVITS trust report.