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Comparison

dc_tts vs dia2

Verdict

Pick dc_tts 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.; pick dia2 when tags unique to dia2: open-weight, text-to-speech.

Markdown twin · dc_tts alternatives · dia2 alternatives

GraphCanon updated 2w

dc_tts logo

dc_tts

Kyubyong/dc_tts

★ 1.2kpushed Apr 14, 2023
vs
dia2 logo

dia2

nari-labs/dia2

★ 1.2kpushed Nov 29, 2025

Trust & integrity

Signaldc_ttsdia2
Maintenance
Dormant (1203d since push)
As of 2w · github_public_v1
Slowing (243d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · 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
dc_tts trust reportdia2 trust reportTrust methodology

Tagline

dc_tts
A TensorFlow Implementation of DC-TTS
dia2
TTS model capable of streaming conversational audio in real-time.

Stars

dc_tts
1.2k
dia2
1.2k

Forks

dc_tts
360
dia2
99

Open issues

dc_tts
68
dia2
5

Language

dc_tts
Python
dia2
Python

Adopt for

dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
dia2
-

Persona

dc_tts
-
dia2
-

Runtime

dc_tts
-
dia2
-

License

dc_tts
Apache-2.0
dia2
Apache-2.0

Last pushed

dc_tts
Apr 14, 2023
dia2
Nov 29, 2025

Categories

dc_tts
Speech & Audio
dia2
Speech & Audio

Trust and health

Maintenance

dc_tts
Dormant (18%)
dia2
Slowing (36%)

Days since push

dc_tts
1203d
dia2
243d

Open issues (now)

dc_tts
68
dia2
5

Owner type

dc_tts
User
dia2
Organization

Full report

dc_tts
Trust report
dia2
Trust 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, 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 1222 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
GitHubDetails

Choose dia2 if…

  • Tags unique to dia2: open-weight, text-to-speech.
  • When you need real-time streaming capabilities for text-to-speech applications.
  • More GitHub stars (1.2k vs 1.2k) - visibility, not fit.

When NOT to use dia2

  • For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required.
  • If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec.
GitHubDetails

Explore

dc_tts trust report →dia2 trust report →Speech & Audio category →All comparisonsStack workflowsTrending tools

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 · dia2 1.2k (synced Jul 30, 2026).

Common questions

What is the difference between dc_tts and dia2?
dc_tts: A TensorFlow Implementation of DC-TTS. dia2: TTS model capable of streaming conversational audio in real-time.. See the comparison table for live GitHub stats and shared categories.
When should I choose dc_tts over dia2?
Choose dc_tts over dia2 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, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
When should I choose dia2 over dc_tts?
Choose dia2 over dc_tts when Tags unique to dia2: open-weight, text-to-speech; When you need real-time streaming capabilities for text-to-speech applications; More GitHub stars (1.2k vs 1.2k) - visibility, not fit.
When should I avoid dc_tts?
Last GitHub push was 1222 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
When should I avoid dia2?
For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec.
Is dc_tts or dia2 more popular on GitHub?
dia2 has more GitHub stars (1,160 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are dc_tts and dia2 open source?
Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, dia2: Apache-2.0).
Where can I find alternatives to dc_tts or dia2?
GraphCanon lists graph-backed alternatives at dc_tts alternatives and dia2 alternatives (dc_tts markdown twin, dia2 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 dia2?
dc_tts: Dormant. dia2: 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 dia2?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; dia2 trust report.

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