GraphCanon
Home/Compare/ChatTTS vs Speech

Comparison

ChatTTS vs Speech

Verdict

Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; pick Speech if nVIDIA-NeMo/Speech - A scalable toolkit for speech AI tasks such as ASR, TTS, and speaker recognition built on PyTorch with CUDA support.

Markdown twin · ChatTTS alternatives · Speech alternatives

GraphCanon updated 6d

ChatTTS logo

ChatTTS

2noise/ChatTTS

★ 40kpushed Apr 10, 2026
vs
Speech logo

Speech

NVIDIA-NeMo/Speech

★ 18kpushed Aug 7, 2026

Trust & integrity

SignalChatTTSSpeech
Maintenance
Slowing (127d since push)
As of 6d · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 6d · 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
ChatTTS trust reportSpeech trust reportTrust methodology

Tagline

ChatTTS
A generative speech model for daily dialogue
Speech
A scalable generative AI framework for Speech AI

Stars

ChatTTS
40k
Speech
18k

Forks

ChatTTS
4.3k
Speech
3.5k

Open issues

ChatTTS
60
Speech
238

Language

ChatTTS
Python
Speech
Python

Adopt for

ChatTTS
ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
Speech
NVIDIA-NeMo/Speech - A scalable toolkit for speech AI tasks such as ASR, TTS, and speaker recognition built on PyTorch with CUDA support.

Persona

ChatTTS
-
Speech
-

Runtime

ChatTTS
-
Speech
-

License

ChatTTS
Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works.
Speech
Apache-2.0

Last pushed

ChatTTS
Apr 10, 2026
Speech
Aug 7, 2026

Categories

ChatTTS
AI Agents, Speech & Audio
Speech
Developer Tools, Model Training, Speech & Audio

Trust and health

Maintenance

ChatTTS
Slowing (36%)
Speech
Very active (96%)

Days since push

ChatTTS
127d
Speech
0d

Open issues (now)

ChatTTS
60
Speech
238

Stars delta

ChatTTS
+140 (30d)
Speech
Unknown

Open issues delta

ChatTTS
-1 (30d)
Speech
Unknown

Full report

ChatTTS
Trust report
Speech
Trust report

Shared compatibility

  • Python · ChatTTS: Python runtime · Speech: Python runtime

Choose ChatTTS if…

  • License: ChatTTS is AGPL-3.0, Speech is Apache-2.0.
  • Requirements: Python-based implementation means that familiarity with Python is necessary for effective use..
  • Tags unique to ChatTTS: agent, chatgpt, chattts, chinese language.
  • Also covers AI Agents.
  • Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.

When NOT to use ChatTTS

  • Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation.
  • Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.
GitHubDetails

Choose Speech if…

  • License: Speech is Apache-2.0, ChatTTS is AGPL-3.0.
  • Tags unique to Speech: asr, deeplearning, generative-ai, machine-translation.
  • Also covers Developer Tools, Model Training.
  • When working on projects that require extensive GPU utilization for training large models due to its support for efficient CUDA usage.

When NOT to use Speech

  • For environments where GPU access is limited or unavailable since the toolkit highly recommends a GPU setup for both training and recommended for inference.
  • If your Python/PyTorch/CUDA versions fall below the specified requirements (Python 3.12+, PyTorch 2.7+), as lower versions will not be compatible with NeMo Speech.
  • In scenarios where you're working with models that do not require or benefit significantly from GPU acceleration, given its architecture optimized for GPU use.
GitHubDetails

Explore

ChatTTS trust report →Speech trust report →AI Agents category →Speech & Audio category →Developer Tools category →Model Training 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: ChatTTS 40k · Speech 18k (synced Aug 16, 2026).

Common questions

What is the difference between ChatTTS and Speech?
ChatTTS: A generative speech model for daily dialogue. Speech: A scalable generative AI framework for Speech AI. See the comparison table for live GitHub stats and shared categories.
When should I choose ChatTTS over Speech?
Choose ChatTTS over Speech when License: ChatTTS is AGPL-3.0, Speech is Apache-2.0; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: agent, chatgpt, chattts, chinese language; Also covers AI Agents; Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.
When should I choose Speech over ChatTTS?
Choose Speech over ChatTTS when License: Speech is Apache-2.0, ChatTTS is AGPL-3.0; Tags unique to Speech: asr, deeplearning, generative-ai, machine-translation; Also covers Developer Tools, Model Training; When working on projects that require extensive GPU utilization for training large models due to its support for efficient CUDA usage.
When should I avoid ChatTTS?
Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.
When should I avoid Speech?
For environments where GPU access is limited or unavailable since the toolkit highly recommends a GPU setup for both training and recommended for inference. If your Python/PyTorch/CUDA versions fall below the specified requirements (Python 3.12+, PyTorch 2.7+), as lower versions will not be compatible with NeMo Speech. In scenarios where you're working with models that do not require or benefit significantly from GPU acceleration, given its architecture optimized for GPU use.
Is ChatTTS or Speech more popular on GitHub?
ChatTTS has more GitHub stars (39,768 vs 17,940). Stars measure visibility, not whether either tool fits your constraints.
Are ChatTTS and Speech open source?
Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, Speech: Apache-2.0).
Where can I find alternatives to ChatTTS or Speech?
GraphCanon lists graph-backed alternatives at ChatTTS alternatives and Speech alternatives (ChatTTS markdown twin, Speech 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, ChatTTS or Speech?
ChatTTS: Slowing. Speech: 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 ChatTTS and Speech?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; Speech trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.