Comparison
dc_tts vs OpenVoice
Verdict
Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick OpenVoice if openVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities.
Markdown twin · dc_tts alternatives · OpenVoice alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | dc_tts | OpenVoice |
|---|---|---|
| Maintenance | Dormant (1254d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (518d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- OpenVoice
- Instant voice cloning using an audio foundation model
Stars
- dc_tts
- 1.2k
- OpenVoice
- 38k
Forks
- dc_tts
- 360
- OpenVoice
- 4.2k
Open issues
- dc_tts
- 68
- OpenVoice
- 310
Language
- dc_tts
- Python
- OpenVoice
- Python
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- OpenVoice
- OpenVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities.
Persona
- dc_tts
- -
- OpenVoice
- -
Runtime
- dc_tts
- -
- OpenVoice
- -
License
- dc_tts
- Apache-2.0
- OpenVoice
- Available under the MIT License, allowing free use for both commercial and research purposes.
Last pushed
- dc_tts
- Apr 14, 2023
- OpenVoice
- Apr 19, 2025
Categories
- dc_tts
- Speech & Audio
- OpenVoice
- Speech & Audio
Trust and health
Days since push
- dc_tts
- 1254d
- OpenVoice
- 518d
Open issues (now)
- dc_tts
- 68
- OpenVoice
- 310
Stars delta
- dc_tts
- +3 (30d)
- OpenVoice
- +544 (30d)
Open issues delta
- dc_tts
- 0 (30d)
- OpenVoice
- +3 (30d)
Owner type
- dc_tts
- User
- OpenVoice
- Organization
OSV dependency advisories
- dc_tts
- No lockfile (source not queried)
- OpenVoice
- Published findings
Full report
- dc_tts
- Trust report
- OpenVoice
- Trust report
Choose dc_tts if…
- License: dc_tts is Apache-2.0, OpenVoice 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.
- 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 Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts.
Choose OpenVoice if…
- License: OpenVoice is MIT, dc_tts is Apache-2.0.
- Pricing: As it is open-source with a permissive MIT license, usage is free. However, users may need to incur costs for compute resources when deploying scalable solutions..
- Tags unique to OpenVoice: text-to-speech, voice-clone, zero-shot-tts.
- When rapid deployment of clone voices is needed without extensive training examples required by other tools due to its zero-shot text-to-speech feature.
When NOT to use OpenVoice
- If your project requires fine-tuning of voice characteristics beyond what the tool's audio foundation model offers, as other tools may be more customizable.
- When dealing with niche linguistic requirements or extremely rare language models that might not be well-supported by OpenVoice’s broader focus.
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 Sep 20, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Sep 20, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (myshell-ai/OpenVoice) · observed Sep 20, 2026
- GitHub forks (myshell-ai/OpenVoice) · observed Sep 20, 2026
- Last push (myshell-ai/OpenVoice) · observed Apr 19, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dc_tts 1.2k · OpenVoice 38k (synced Sep 20, 2026).
Common questions
- What is the difference between dc_tts and OpenVoice?
- dc_tts: A TensorFlow Implementation of DC-TTS. OpenVoice: Instant voice cloning using an audio foundation model. See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over OpenVoice?
- Choose dc_tts over OpenVoice when License: dc_tts is Apache-2.0, OpenVoice 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; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. - When should I choose OpenVoice over dc_tts?
- Choose OpenVoice over dc_tts when License: OpenVoice is MIT, dc_tts is Apache-2.0; Pricing: As it is open-source with a permissive MIT license, usage is free. However, users may need to incur costs for compute resources when deploying scalable solutions.; Tags unique to OpenVoice: text-to-speech, voice-clone, zero-shot-tts; When rapid deployment of clone voices is needed without extensive training examples required by other tools due to its zero-shot text-to-speech feature.
- When should I avoid dc_tts?
- Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts.
- When should I avoid OpenVoice?
- If your project requires fine-tuning of voice characteristics beyond what the tool's audio foundation model offers, as other tools may be more customizable. When dealing with niche linguistic requirements or extremely rare language models that might not be well-supported by OpenVoice’s broader focus.
- Is dc_tts or OpenVoice more popular on GitHub?
- OpenVoice has more GitHub stars (37,588 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and OpenVoice open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, OpenVoice: MIT).
- Where can I find alternatives to dc_tts or OpenVoice?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and OpenVoice alternatives (dc_tts markdown twin, OpenVoice 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 OpenVoice?
- dc_tts: Dormant. OpenVoice: 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 OpenVoice?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; OpenVoice trust report.