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Comparison

TTS vs bark

Verdict

Pick TTS when license: TTS is MPL-2.0, bark is MIT; pick bark when license: bark is MIT, TTS is MPL-2.0.

Markdown twin · TTS alternatives · bark alternatives

GraphCanon updated today

TTS logo

TTS

mozilla/TTS

★ 10kpushed Nov 9, 2023
vs
bark logo

bark

suno-ai/bark

★ 39kpushed Aug 19, 2024

Trust & integrity

SignalTTSbark
Maintenance
Dormant (974d since push)
As of today · github_public_v1
Dormant (691d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
636 low (636 low)
As of today · osv@v1
No lockfile
As of today · none
TTS trust reportbark trust reportTrust methodology

Tagline

TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
bark
🔊 Text-Prompted Generative Audio Model

Stars

TTS
10k
bark
39k

Forks

TTS
1.3k
bark
4.7k

Open issues

TTS
38
bark
268

Language

TTS
Jupyter Notebook
bark
Jupyter Notebook

Adopt for

TTS
-
bark
-

Persona

TTS
-
bark
-

Runtime

TTS
-
bark
-

License

TTS
MPL-2.0
bark
MIT

Last pushed

TTS
Nov 9, 2023
bark
Aug 19, 2024

Categories

TTS
Model Training, Speech & Audio
bark
LLM Frameworks, Model Training, Inference & Serving

Trust and health

Days since push

TTS
974d
bark
691d

Open issues (now)

TTS
38
bark
268

Security scan

TTS
636 low (636 low)
bark
No lockfile

Full report

TTS
Trust report
bark
Trust report

Shared compatibility

  • Python · TTS: Python runtime · bark: Python runtime

Choose TTS if…

  • License: TTS is MPL-2.0, bark is MIT.
  • Tags unique to TTS: gantts, deep-learning, glow-tts, python.
  • Also covers Speech & Audio.

When NOT to use TTS

  • Last GitHub push was 975 days ago (dormant maintenance, Nov 9, 2023). Validate activity before betting a new project on TTS.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Choose bark if…

  • License: bark is MIT, TTS is MPL-2.0.
  • Tags unique to bark: jupyter notebook.
  • Also covers LLM Frameworks, Inference & Serving.

When NOT to use bark

  • Last GitHub push was 692 days ago (dormant maintenance, Aug 19, 2024). Validate activity before betting a new project on bark.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Explore

TTS trust report →bark trust report →Model Training category →Speech & Audio category →LLM Frameworks category →Inference & Serving 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: TTS 10k · bark 39k (synced Jul 11, 2026).

Common questions

What is the difference between TTS and bark?
TTS: :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts). bark: 🔊 Text-Prompted Generative Audio Model. See the comparison table for live GitHub stats and shared categories.
When should I choose TTS over bark?
Choose TTS over bark when License: TTS is MPL-2.0, bark is MIT; Tags unique to TTS: gantts, deep-learning, glow-tts, python; Also covers Speech & Audio.
When should I choose bark over TTS?
Choose bark over TTS when License: bark is MIT, TTS is MPL-2.0; Tags unique to bark: jupyter notebook; Also covers LLM Frameworks, Inference & Serving.
When should I avoid TTS?
Last GitHub push was 975 days ago (dormant maintenance, Nov 9, 2023). Validate activity before betting a new project on TTS. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid bark?
Last GitHub push was 692 days ago (dormant maintenance, Aug 19, 2024). Validate activity before betting a new project on bark. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is TTS or bark more popular on GitHub?
bark has more GitHub stars (39,191 vs 10,159). Stars measure visibility, not whether either tool fits your constraints.
Are TTS and bark open source?
Yes - both are open-source projects on GitHub (TTS: MPL-2.0, bark: MIT).
Where can I find alternatives to TTS or bark?
GraphCanon lists graph-backed alternatives at TTS alternatives and bark alternatives (TTS markdown twin, bark 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, TTS or bark?
TTS: Dormant. bark: 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 TTS and bark?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; bark trust report.