Home/Compare/dc_tts vs chatterbox-tts-api

Comparison

dc_tts vs chatterbox-tts-api

Verdict

Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick chatterbox-tts-api if chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.

Markdown twin · dc_tts alternatives · chatterbox-tts-api alternatives

GraphCanon updated 1w

dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023
vs
chatterbox-tts-api logo

chatterbox-tts-api

travisvn/chatterbox-tts-api

666pushed Dec 23, 2025

Trust & integrity

Signaldc_ttschatterbox-tts-api
Maintenance
Dormant (1203d since push)
As of 3w · github_public_v1
Slowing (232d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 1w · 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
chatterbox-tts-api
Local OpenAI-compatible text-to-speech API using Chatterbox

Stars

dc_tts
1.2k
chatterbox-tts-api
666

Forks

dc_tts
360
chatterbox-tts-api
152

Open issues

dc_tts
68
chatterbox-tts-api
16

Language

dc_tts
Python
chatterbox-tts-api
Python

Adopt for

dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
chatterbox-tts-api
Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.

Persona

dc_tts
-
chatterbox-tts-api
-

Runtime

dc_tts
-
chatterbox-tts-api
-

License

dc_tts
Apache-2.0
chatterbox-tts-api
Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly.

Last pushed

dc_tts
Apr 14, 2023
chatterbox-tts-api
Dec 23, 2025

Categories

dc_tts
Speech & Audio
chatterbox-tts-api
Speech & Audio

Trust and health

Maintenance

dc_tts
Dormant (18%)
chatterbox-tts-api
Slowing (36%)

Days since push

dc_tts
1203d
chatterbox-tts-api
232d

Open issues (now)

dc_tts
68
chatterbox-tts-api
16

Full report

chatterbox-tts-api
Trust report

Choose dc_tts if…

  • License: dc_tts is Apache-2.0, chatterbox-tts-api is AGPL-3.0.
  • 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 chatterbox-tts-api if…

  • License: chatterbox-tts-api is AGPL-3.0, dc_tts is Apache-2.0.
  • Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment..
  • Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda.
  • When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.

When NOT to use chatterbox-tts-api

  • If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries.
  • For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.

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 · chatterbox-tts-api 666 (synced Jul 30, 2026).

Common questions

What is the difference between dc_tts and chatterbox-tts-api?
dc_tts: A TensorFlow Implementation of DC-TTS. chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. See the comparison table for live GitHub stats and shared categories.
When should I choose dc_tts over chatterbox-tts-api?
Choose dc_tts over chatterbox-tts-api when License: dc_tts is Apache-2.0, chatterbox-tts-api is AGPL-3.0; 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 chatterbox-tts-api over dc_tts?
Choose chatterbox-tts-api over dc_tts when License: chatterbox-tts-api is AGPL-3.0, dc_tts is Apache-2.0; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda; When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.
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 chatterbox-tts-api?
If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.
Is dc_tts or chatterbox-tts-api more popular on GitHub?
dc_tts has more GitHub stars (1,156 vs 666). Stars measure visibility, not whether either tool fits your constraints.
Are dc_tts and chatterbox-tts-api open source?
Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, chatterbox-tts-api: AGPL-3.0).
Where can I find alternatives to dc_tts or chatterbox-tts-api?
GraphCanon lists graph-backed alternatives at dc_tts alternatives and chatterbox-tts-api alternatives (dc_tts markdown twin, chatterbox-tts-api 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 chatterbox-tts-api?
dc_tts: Dormant. chatterbox-tts-api: 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 chatterbox-tts-api?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; chatterbox-tts-api trust report.

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