Home/Compare/TTS vs dc_tts

Comparison

TTS vs dc_tts

Verdict

Pick TTS when license: TTS is MPL-2.0, dc_tts is Apache-2.0; pick dc_tts when license: dc_tts is Apache-2.0, TTS is MPL-2.0.

Markdown twin · TTS alternatives · dc_tts alternatives

GraphCanon updated today

TTS logo

TTS

coqui-ai/TTS

46kpushed Aug 16, 2024
vs
dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023

Trust & integrity

SignalTTSdc_tts
Maintenance
Dormant (693d since push)
As of today · github_public_v1
Dormant (1183d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
137 low (137 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
dc_tts
A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

Stars

TTS
46k
dc_tts
1.2k

Forks

TTS
6.2k
dc_tts
360

Open issues

TTS
4
dc_tts
68

Language

TTS
Python
dc_tts
Python

Adopt for

TTS
-
dc_tts
-

Persona

TTS
-
dc_tts
-

Runtime

TTS
-
dc_tts
-

License

TTS
MPL-2.0
dc_tts
Apache-2.0

Last pushed

TTS
Aug 16, 2024
dc_tts
Apr 14, 2023

Categories

TTS
Inference & Serving, Model Training, Speech & Audio
dc_tts
Model Training, Speech & Audio

Trust and health

Days since push

TTS
693d
dc_tts
1183d

Open issues (now)

TTS
4
dc_tts
68

Owner type

TTS
Organization
dc_tts
User

Security scan

TTS
137 low (137 low)
dc_tts
No lockfile

Full report

Choose TTS if…

  • License: TTS is MPL-2.0, dc_tts is Apache-2.0.
  • Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan.
  • Also covers Inference & Serving.
  • TTS ships Docker support for self-hosted deployment.

When NOT to use TTS

  • Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose dc_tts if…

  • License: dc_tts is Apache-2.0, TTS is MPL-2.0.
  • Tags unique to dc_tts: speech, speech-to-text, tts.

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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: TTS 46k · dc_tts 1.2k (synced Jul 11, 2026).

Common questions

What is the difference between TTS and dc_tts?
TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. dc_tts: A TensorFlow Implementation of DC-TTS: yet another text-to-speech model. See the comparison table for live GitHub stats and shared categories.
When should I choose TTS over dc_tts?
Choose TTS over dc_tts when License: TTS is MPL-2.0, dc_tts is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Inference & Serving; TTS ships Docker support for self-hosted deployment.
When should I choose dc_tts over TTS?
Choose dc_tts over TTS when License: dc_tts is Apache-2.0, TTS is MPL-2.0; Tags unique to dc_tts: speech, speech-to-text, tts.
When should I avoid TTS?
Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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.
Is TTS or dc_tts more popular on GitHub?
TTS has more GitHub stars (45,737 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are TTS and dc_tts open source?
Yes - both are open-source projects on GitHub (TTS: MPL-2.0, dc_tts: Apache-2.0).
Where can I find alternatives to TTS or dc_tts?
GraphCanon lists graph-backed alternatives at TTS alternatives and dc_tts alternatives (TTS markdown twin, dc_tts 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, TTS or dc_tts?
TTS: Dormant. dc_tts: 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 TTS and dc_tts?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; dc_tts trust report.