Comparison
ChatTTS vs STT
Verdict
Pick ChatTTS if chatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities; pick STT if sTT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups.
Markdown twin · ChatTTS alternatives · STT alternatives
GraphCanon updated Sep 30, 2026
6views this month
Trust & integrity
| Signal | ChatTTS | STT |
|---|---|---|
| Maintenance | Slowing (160d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (922d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- ChatTTS
- A generative speech model for daily dialogue.
- STT
- A fast open-source deep-learning toolkit for speech-to-text
Stars
- ChatTTS
- 40k
- STT
- 2.6k
Forks
- ChatTTS
- 4.3k
- STT
- 295
Open issues
- ChatTTS
- 60
- STT
- 106
Language
- ChatTTS
- Python
- STT
- C++
Adopt for
- ChatTTS
- ChatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities.
- STT
- STT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups.
Persona
- ChatTTS
- -
- STT
- -
Runtime
- ChatTTS
- -
- STT
- -
License
- ChatTTS
- AGPL-3.0
- STT
- MPL-2.0
Last pushed
- ChatTTS
- Apr 10, 2026
- STT
- Mar 11, 2024
Categories
- ChatTTS
- LLM Frameworks, Speech & Audio
- STT
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- STT
- Dormant (18%)
Days since push
- ChatTTS
- 160d
- STT
- 922d
Open issues (now)
- ChatTTS
- 60
- STT
- 106
Stars delta
- ChatTTS
- +82 (30d)
- STT
- +7 (30d)
OSV dependency advisories
- ChatTTS
- Published findings
- STT
- No lockfile (source not queried)
Full report
- ChatTTS
- Trust report
- STT
- Trust report
Choose ChatTTS if…
- ChatTTS is primarily Python; STT is C++.
- License: ChatTTS is AGPL-3.0, STT is MPL-2.0.
- Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations..
- Tags unique to ChatTTS: agent, chat, chatgpt, chattts.
- Also covers LLM Frameworks.
- When you need a tool that supports both Chinese and English for daily dialogue generation.
When NOT to use ChatTTS
- If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly.
- When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed.
- If you are not comfortable with a slow installation process, as noted in the repository documentation.
Choose STT if…
- STT is primarily C++; ChatTTS is Python.
- License: STT is MPL-2.0, ChatTTS is AGPL-3.0.
- Tags unique to STT: asr, automatic-speech-recognition, deep-learning, speech recognition.
- When you need a tool with high-quality pre-trained STT models
When NOT to use STT
- Since its development has slowed, it may not suit users needing the latest research advancements
- Avoid if you require community support as active maintenance has decreased
- Not ideal if newer STT models like Whisper offer more suitable features
- Consider alternatives with better-sustained Model Zoo access for more diverse pre-trained models
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (2noise/ChatTTS) · observed Sep 20, 2026
- GitHub forks (2noise/ChatTTS) · observed Sep 20, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (coqui-ai/STT) · observed Sep 20, 2026
- GitHub forks (coqui-ai/STT) · observed Sep 20, 2026
- Last push (coqui-ai/STT) · observed Mar 11, 2024
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatTTS 40k · STT 2.6k (synced Sep 20, 2026).
Common questions
- What is the difference between ChatTTS and STT?
- ChatTTS: A generative speech model for daily dialogue.. STT: A fast open-source deep-learning toolkit for speech-to-text. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over STT?
- Choose ChatTTS over STT when ChatTTS is primarily Python; STT is C++; License: ChatTTS is AGPL-3.0, STT is MPL-2.0; Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.; Tags unique to ChatTTS: agent, chat, chatgpt, chattts; Also covers LLM Frameworks; When you need a tool that supports both Chinese and English for daily dialogue generation.
- When should I choose STT over ChatTTS?
- Choose STT over ChatTTS when STT is primarily C++; ChatTTS is Python; License: STT is MPL-2.0, ChatTTS is AGPL-3.0; Tags unique to STT: asr, automatic-speech-recognition, deep-learning, speech recognition; When you need a tool with high-quality pre-trained STT models.
- When should I avoid ChatTTS?
- If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly. When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed. If you are not comfortable with a slow installation process, as noted in the repository documentation.
- When should I avoid STT?
- Since its development has slowed, it may not suit users needing the latest research advancements Avoid if you require community support as active maintenance has decreased Not ideal if newer STT models like Whisper offer more suitable features Consider alternatives with better-sustained Model Zoo access for more diverse pre-trained models
- Is ChatTTS or STT more popular on GitHub?
- ChatTTS has more GitHub stars (39,850 vs 2,606). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and STT open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, STT: MPL-2.0).
- Where can I find alternatives to ChatTTS or STT?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and STT alternatives (ChatTTS markdown twin, STT 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 STT?
- ChatTTS: Slowing. STT: 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 ChatTTS and STT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; STT trust report.