Home/Compare/dc_tts vs supertonic

Comparison

dc_tts vs supertonic

Verdict

Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick supertonic if supertonic provides fast multilingual TTS on-device using ONNX runtime, native to Swift with wide language support.

Markdown twin · dc_tts alternatives · supertonic alternatives

GraphCanon updated 3w

dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023
vs
supertonic logo

supertonic

supertone-inc/supertonic

14kpushed Jul 24, 2026

Trust & integrity

Signaldc_ttssupertonic
Maintenance
Dormant (1203d since push)
As of 3w · github_public_v1
Very active (5d 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
supertonic
Lightning-Fast On-Device Multilingual TTS via ONNX

Stars

dc_tts
1.2k
supertonic
14k

Forks

dc_tts
360
supertonic
1.4k

Open issues

dc_tts
68
supertonic
126

Language

dc_tts
Python
supertonic
Swift

Adopt for

dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
supertonic
Supertonic provides fast multilingual TTS on-device using ONNX runtime, native to Swift with wide language support.

Persona

dc_tts
-
supertonic
-

Runtime

dc_tts
-
supertonic
-

License

dc_tts
Apache-2.0
supertonic
MIT

Last pushed

dc_tts
Apr 14, 2023
supertonic
Jul 24, 2026

Categories

dc_tts
Speech & Audio
supertonic
Speech & Audio

Trust and health

Maintenance

dc_tts
Dormant (18%)
supertonic
Very active (96%)

Days since push

dc_tts
1203d
supertonic
5d

Open issues (now)

dc_tts
68
supertonic
126

Owner type

dc_tts
User
supertonic
Organization

Full report

supertonic
Trust report

Choose dc_tts if…

  • dc_tts is primarily Python; supertonic is Swift.
  • License: dc_tts is Apache-2.0, supertonic 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 supertonic if…

  • supertonic is primarily Swift; dc_tts is Python.
  • License: supertonic is MIT, dc_tts is Apache-2.0.
  • Tags unique to supertonic: cpp, csharp, flutter, go.
  • When deploying text-to-speech functionality requires swift performance on-device in multiple languages

When NOT to use supertonic

  • If the application is multilingual but does not require on-device processing capabilities
  • For teams preferring a different primary development language other than Swift or those lacking familiarity with ONNX implementation details

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 · supertonic 14k (synced Jul 30, 2026).

Common questions

What is the difference between dc_tts and supertonic?
dc_tts: A TensorFlow Implementation of DC-TTS. supertonic: Lightning-Fast On-Device Multilingual TTS via ONNX. See the comparison table for live GitHub stats and shared categories.
When should I choose dc_tts over supertonic?
Choose dc_tts over supertonic when dc_tts is primarily Python; supertonic is Swift; License: dc_tts is Apache-2.0, supertonic 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 supertonic over dc_tts?
Choose supertonic over dc_tts when supertonic is primarily Swift; dc_tts is Python; License: supertonic is MIT, dc_tts is Apache-2.0; Tags unique to supertonic: cpp, csharp, flutter, go; When deploying text-to-speech functionality requires swift performance on-device in multiple languages.
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 supertonic?
If the application is multilingual but does not require on-device processing capabilities For teams preferring a different primary development language other than Swift or those lacking familiarity with ONNX implementation details
Is dc_tts or supertonic more popular on GitHub?
supertonic has more GitHub stars (13,543 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are dc_tts and supertonic open source?
Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, supertonic: MIT).
Where can I find alternatives to dc_tts or supertonic?
GraphCanon lists graph-backed alternatives at dc_tts alternatives and supertonic alternatives (dc_tts markdown twin, supertonic 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 supertonic?
dc_tts: Dormant. supertonic: Very active. 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 supertonic?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; supertonic trust report.

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