Home/Compare/dc_tts vs dia

Comparison

dc_tts vs dia

Verdict

Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick dia if dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue.

Markdown twin · dc_tts alternatives · dia alternatives

GraphCanon updated 3w

dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023
vs
dia logo

dia

nari-labs/dia

19kpushed Nov 19, 2025

Trust & integrity

Signaldc_ttsdia
Maintenance
Dormant (1203d since push)
As of 3w · github_public_v1
Slowing (251d 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
No lockfile (source not queried)
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
dia
A TTS model for generating ultra-realistic dialogue

Stars

dc_tts
1.2k
dia
19k

Forks

dc_tts
360
dia
1.7k

Open issues

dc_tts
68
dia
91

Language

dc_tts
Python
dia
Python

Adopt for

dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
dia
Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue.

Persona

dc_tts
-
dia
-

Runtime

dc_tts
-
dia
-

License

dc_tts
Apache-2.0
dia
Apache-2.0

Last pushed

dc_tts
Apr 14, 2023
dia
Nov 19, 2025

Categories

dc_tts
Speech & Audio
dia
Speech & Audio

Trust and health

Maintenance

dc_tts
Dormant (18%)
dia
Slowing (36%)

Days since push

dc_tts
1203d
dia
251d

Open issues (now)

dc_tts
68
dia
91

Owner type

dc_tts
User
dia
Organization

Full report

Choose dc_tts if…

  • 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 1228 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.

Choose dia if…

  • Tags unique to dia: dialogue-generation, text-to-speech.
  • When you require precise control over voice and script in the creation of highly realistic dialogues
  • More GitHub stars (19k vs 1.2k) - visibility, not fit.

When NOT to use dia

  • If your setup lacks a GPU, as Dia has not yet added CPU support
  • In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads

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 · dia 19k (synced Jul 30, 2026).

Common questions

What is the difference between dc_tts and dia?
dc_tts: A TensorFlow Implementation of DC-TTS. dia: A TTS model for generating ultra-realistic dialogue. See the comparison table for live GitHub stats and shared categories.
When should I choose dc_tts over dia?
Choose dc_tts over dia when 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 dia over dc_tts?
Choose dia over dc_tts when Tags unique to dia: dialogue-generation, text-to-speech; When you require precise control over voice and script in the creation of highly realistic dialogues; More GitHub stars (19k vs 1.2k) - visibility, not fit.
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 dia?
If your setup lacks a GPU, as Dia has not yet added CPU support In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads
Is dc_tts or dia more popular on GitHub?
dia has more GitHub stars (19,361 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are dc_tts and dia open source?
Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, dia: Apache-2.0).
Where can I find alternatives to dc_tts or dia?
GraphCanon lists graph-backed alternatives at dc_tts alternatives and dia alternatives (dc_tts markdown twin, dia 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 dia?
dc_tts: Dormant. dia: Slowing. 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 dia?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; dia trust report.

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