Comparison
dc_tts vs MeloTTS
Verdict
Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick MeloTTS if meloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean.
Markdown twin · dc_tts alternatives · MeloTTS alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | dc_tts | MeloTTS |
|---|---|---|
| Maintenance | Dormant (1203d since push) As of 3w · github_public_v1 | Dormant (581d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- MeloTTS
- High-quality multi-lingual text-to-speech library by MyShell.ai
Stars
- dc_tts
- 1.2k
- MeloTTS
- 7.6k
Forks
- dc_tts
- 360
- MeloTTS
- 1.1k
Open issues
- dc_tts
- 68
- MeloTTS
- 232
Language
- dc_tts
- Python
- MeloTTS
- Python
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- MeloTTS
- MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean.
Persona
- dc_tts
- -
- MeloTTS
- -
Runtime
- dc_tts
- -
- MeloTTS
- -
License
- dc_tts
- Apache-2.0
- MeloTTS
- MIT
Last pushed
- dc_tts
- Apr 14, 2023
- MeloTTS
- Dec 24, 2024
Categories
- dc_tts
- Speech & Audio
- MeloTTS
- Speech & Audio
Trust and health
Days since push
- dc_tts
- 1203d
- MeloTTS
- 581d
Open issues (now)
- dc_tts
- 68
- MeloTTS
- 232
Owner type
- dc_tts
- User
- MeloTTS
- Organization
OSV dependency advisories
- dc_tts
- No lockfile (source not queried)
- MeloTTS
- Published findings
Full report
- dc_tts
- Trust report
- MeloTTS
- Trust report
Choose dc_tts if…
- License: dc_tts is Apache-2.0, MeloTTS 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, 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 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
Choose MeloTTS if…
- License: MeloTTS is MIT, dc_tts is Apache-2.0.
- Tags unique to MeloTTS: chinese, english, french, japanese.
- MeloTTS ships Docker support for self-hosted deployment.
- If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution.
When NOT to use MeloTTS
- If your application's required languages are not covered by MeloTTS, such as Arabic or Russian.
- In situations where you need more customization options for TTS than what the library provides out-of-the-box.
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 (myshell-ai/MeloTTS) · observed Jul 29, 2026
- GitHub forks (myshell-ai/MeloTTS) · observed Jul 29, 2026
- Last push (myshell-ai/MeloTTS) · observed Dec 24, 2024
- License file (MIT) · 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 · MeloTTS 7.6k (synced Jul 30, 2026).
Common questions
- What is the difference between dc_tts and MeloTTS?
- dc_tts: A TensorFlow Implementation of DC-TTS. MeloTTS: High-quality multi-lingual text-to-speech library by MyShell.ai. See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over MeloTTS?
- Choose dc_tts over MeloTTS when License: dc_tts is Apache-2.0, MeloTTS 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, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. - When should I choose MeloTTS over dc_tts?
- Choose MeloTTS over dc_tts when License: MeloTTS is MIT, dc_tts is Apache-2.0; Tags unique to MeloTTS: chinese, english, french, japanese; MeloTTS ships Docker support for self-hosted deployment; If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution.
- 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 MeloTTS?
- If your application's required languages are not covered by MeloTTS, such as Arabic or Russian. In situations where you need more customization options for TTS than what the library provides out-of-the-box.
- Is dc_tts or MeloTTS more popular on GitHub?
- MeloTTS has more GitHub stars (7,551 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and MeloTTS open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, MeloTTS: MIT).
- Where can I find alternatives to dc_tts or MeloTTS?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and MeloTTS alternatives (dc_tts markdown twin, MeloTTS 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 MeloTTS?
- dc_tts: Dormant. MeloTTS: 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 MeloTTS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; MeloTTS trust report.