Home/Compare/dc_tts vs TTS

Comparison

dc_tts vs TTS

Verdict

Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick TTS if tTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8.

Markdown twin · dc_tts alternatives · TTS alternatives

GraphCanon updated 3w

dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023
vs
TTS logo

TTS

mozilla/TTS

10kpushed Nov 9, 2023

Trust & integrity

Signaldc_ttsTTS
Maintenance
Dormant (1203d since push)
As of 3w · github_public_v1
Dormant (992d 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
TTS
Deep learning for Text to Speech

Stars

dc_tts
1.2k
TTS
10k

Forks

dc_tts
360
TTS
1.3k

Open issues

dc_tts
68
TTS
37

Language

dc_tts
Python
TTS
Jupyter Notebook

Adopt for

dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
TTS
TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8.

Persona

dc_tts
-
TTS
-

Runtime

dc_tts
-
TTS
-

License

dc_tts
Apache-2.0
TTS
MPL-2.0

Last pushed

dc_tts
Apr 14, 2023
TTS
Nov 9, 2023

Categories

dc_tts
Speech & Audio
TTS
Speech & Audio

Trust and health

Days since push

dc_tts
1203d
TTS
992d

Open issues (now)

dc_tts
68
TTS
37

Owner type

dc_tts
User
TTS
Organization

OSV dependency advisories

dc_tts
No lockfile (source not queried)
TTS
Published findings

Full report

Choose dc_tts if…

  • dc_tts is primarily Python; TTS is Jupyter Notebook.
  • License: dc_tts is Apache-2.0, TTS is MPL-2.0.
  • 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 1228 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.

Choose TTS if…

  • TTS is primarily Jupyter Notebook; dc_tts is Python.
  • License: TTS is MPL-2.0, dc_tts is Apache-2.0.
  • Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts.
  • Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks.

When NOT to use TTS

  • Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases.
  • Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup.

Explore

Sources

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

GitHub stars on cards: dc_tts 1.2k · TTS 10k (synced Jul 30, 2026).

Common questions

What is the difference between dc_tts and TTS?
dc_tts: A TensorFlow Implementation of DC-TTS. TTS: Deep learning for Text to Speech. See the comparison table for live GitHub stats and shared categories.
When should I choose dc_tts over TTS?
Choose dc_tts over TTS when dc_tts is primarily Python; TTS is Jupyter Notebook; License: dc_tts is Apache-2.0, TTS is MPL-2.0; 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 TTS over dc_tts?
Choose TTS over dc_tts when TTS is primarily Jupyter Notebook; dc_tts is Python; License: TTS is MPL-2.0, dc_tts is Apache-2.0; Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts; Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks.
When should I avoid dc_tts?
Last GitHub push was 1228 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
When should I avoid TTS?
Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases. Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup.
Is dc_tts or TTS more popular on GitHub?
TTS has more GitHub stars (10,165 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are dc_tts and TTS open source?
Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, TTS: MPL-2.0).
Where can I find alternatives to dc_tts or TTS?
GraphCanon lists graph-backed alternatives at dc_tts alternatives and TTS alternatives (dc_tts markdown twin, 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, dc_tts or TTS?
dc_tts: Dormant. 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 dc_tts and TTS?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; TTS trust report.

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