Comparison
ChatTTS vs ChatTTS_colab
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 ChatTTS_colab if chatTTS_colab offers one-click deployment for ChatTTS text-to-speech applications on Colab and supports voice style selection, long audio generation, and streaming output.
Markdown twin · ChatTTS alternatives · ChatTTS_colab alternatives
GraphCanon updated Sep 30, 2026
5views this month
vs
Trust & integrity
| Signal | ChatTTS | ChatTTS_colab |
|---|---|---|
| Maintenance | Slowing (160d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (111d 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 · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 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.
- ChatTTS_colab
- 一键部署的ChatTTS项目，支持流式输出、音色抽卡和长音频生成。
Stars
- ChatTTS
- 40k
- ChatTTS_colab
- 2.6k
Forks
- ChatTTS
- 4.3k
- ChatTTS_colab
- 325
Open issues
- ChatTTS
- 60
- ChatTTS_colab
- 78
Language
- ChatTTS
- Python
- ChatTTS_colab
- Python
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.
- ChatTTS_colab
- ChatTTS_colab offers one-click deployment for ChatTTS text-to-speech applications on Colab and supports voice style selection, long audio generation, and streaming output.
Persona
- ChatTTS
- -
- ChatTTS_colab
- -
Runtime
- ChatTTS
- -
- ChatTTS_colab
- -
License
- ChatTTS
- AGPL-3.0
- ChatTTS_colab
- -
Last pushed
- ChatTTS
- Apr 10, 2026
- ChatTTS_colab
- May 31, 2026
Categories
- ChatTTS
- LLM Frameworks, Speech & Audio
- ChatTTS_colab
- Speech & Audio
Trust and health
Days since push
- ChatTTS
- 160d
- ChatTTS_colab
- 111d
Open issues (now)
- ChatTTS
- 60
- ChatTTS_colab
- 78
Stars delta
- ChatTTS
- +82 (30d)
- ChatTTS_colab
- +14 (30d)
Owner type
- ChatTTS
- Organization
- ChatTTS_colab
- User
OSV dependency advisories
- ChatTTS
- Published findings
- ChatTTS_colab
- No published findings from this source as of 2026-07-11
Full report
- ChatTTS
- Trust report
- ChatTTS_colab
- Trust report
Shared compatibility
- Python · ChatTTS: Python runtime · ChatTTS_colab: Python runtime
Choose ChatTTS if…
- Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations..
- Tags unique to ChatTTS: agent, chat, chatgpt, chinese-language.
- 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 ChatTTS_colab if…
- Tags unique to ChatTTS_colab: colab-notebook, text-to-speech.
- When you want a simplified setup with minimal configuration needed in a browser-based environment using Google Colab.
- More recently updated (last pushed May 31, 2026).
When NOT to use ChatTTS_colab
- If your project needs do not include the ability to generate audio on-the-fly or manage multiple character readings.
- When you want to avoid Colab's resource limitations that could affect performance for heavy text-to-speech tasks.
- In scenarios where offline package support is not necessary, as this might introduce unnecessary complexities.
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 (6drf21e/ChatTTS_colab) · observed Sep 20, 2026
- GitHub forks (6drf21e/ChatTTS_colab) · observed Sep 20, 2026
- Last push (6drf21e/ChatTTS_colab) · observed May 31, 2026
- License file (unknown) · 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 · ChatTTS_colab 2.6k (synced Sep 20, 2026).
Common questions
- What is the difference between ChatTTS and ChatTTS_colab?
- ChatTTS: A generative speech model for daily dialogue.. ChatTTS_colab: 一键部署的ChatTTS项目，支持流式输出、音色抽卡和长音频生成。. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over ChatTTS_colab?
- Choose ChatTTS over ChatTTS_colab when Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.; Tags unique to ChatTTS: agent, chat, chatgpt, chinese-language; Also covers LLM Frameworks; When you need a tool that supports both Chinese and English for daily dialogue generation.
- When should I choose ChatTTS_colab over ChatTTS?
- Choose ChatTTS_colab over ChatTTS when Tags unique to ChatTTS_colab: colab-notebook, text-to-speech; When you want a simplified setup with minimal configuration needed in a browser-based environment using Google Colab; More recently updated (last pushed May 31, 2026).
- 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 ChatTTS_colab?
- If your project needs do not include the ability to generate audio on-the-fly or manage multiple character readings. When you want to avoid Colab's resource limitations that could affect performance for heavy text-to-speech tasks. In scenarios where offline package support is not necessary, as this might introduce unnecessary complexities.
- Is ChatTTS or ChatTTS_colab more popular on GitHub?
- ChatTTS has more GitHub stars (39,850 vs 2,592). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and ChatTTS_colab open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ChatTTS or ChatTTS_colab?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and ChatTTS_colab alternatives (ChatTTS markdown twin, ChatTTS_colab 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 ChatTTS_colab?
- ChatTTS: Slowing. ChatTTS_colab: 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 ChatTTS and ChatTTS_colab?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; ChatTTS_colab trust report.