Comparison
ChatTTS vs DiffSinger
Verdict
Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; pick DiffSinger if diffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS.
Markdown twin · ChatTTS alternatives · DiffSinger alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ChatTTS | DiffSinger |
|---|---|---|
| Maintenance | Slowing (127d since push) As of 1w · github_public_v1 | Very active (5d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- ChatTTS
- A generative speech model for daily dialogue
- DiffSinger
- Singing Voice Synthesis via Shallow Diffusion Mechanism
Stars
- ChatTTS
- 40k
- DiffSinger
- 4.8k
Forks
- ChatTTS
- 4.3k
- DiffSinger
- 826
Open issues
- ChatTTS
- 60
- DiffSinger
- 53
Language
- ChatTTS
- Python
- DiffSinger
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- DiffSinger
- DiffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS.
Persona
- ChatTTS
- -
- DiffSinger
- -
Runtime
- ChatTTS
- -
- DiffSinger
- -
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.
- DiffSinger
- MIT
Last pushed
- ChatTTS
- Apr 10, 2026
- DiffSinger
- Jul 24, 2026
Categories
- ChatTTS
- AI Agents, Speech & Audio
- DiffSinger
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- DiffSinger
- Very active (96%)
Days since push
- ChatTTS
- 127d
- DiffSinger
- 5d
Open issues (now)
- ChatTTS
- 60
- DiffSinger
- 53
Stars delta
- ChatTTS
- +140 (30d)
- DiffSinger
- Unknown
Open issues delta
- ChatTTS
- -1 (30d)
- DiffSinger
- Unknown
Owner type
- ChatTTS
- Organization
- DiffSinger
- User
OSV dependency advisories
- ChatTTS
- No lockfile (source not queried)
- DiffSinger
- Published findings
Full report
- ChatTTS
- Trust report
- DiffSinger
- Trust report
Shared compatibility
- Python · ChatTTS: Python runtime · DiffSinger: Python runtime
Choose ChatTTS if…
- License: ChatTTS is AGPL-3.0, DiffSinger is MIT.
- 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.
Choose DiffSinger if…
- License: DiffSinger is MIT, ChatTTS is AGPL-3.0.
- Tags unique to DiffSinger: aaai2022, diffusion-model, singing-synthesis, speech-synthesis.
- Need precise control over the fundamental frequency (F0) when synthesizing singing voices
When NOT to use DiffSinger
- In need of real-time synthesis performance due to the resource demands of diffusion mechanisms
- Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks
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 Aug 16, 2026
- GitHub forks (2noise/ChatTTS) · observed Aug 16, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MoonInTheRiver/DiffSinger) · observed Jul 29, 2026
- GitHub forks (MoonInTheRiver/DiffSinger) · observed Jul 29, 2026
- Last push (MoonInTheRiver/DiffSinger) · observed Jul 24, 2026
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatTTS 40k · DiffSinger 4.8k (synced Aug 16, 2026).
Common questions
- What is the difference between ChatTTS and DiffSinger?
- ChatTTS: A generative speech model for daily dialogue. DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over DiffSinger?
- Choose ChatTTS over DiffSinger when License: ChatTTS is AGPL-3.0, DiffSinger is MIT; 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 DiffSinger over ChatTTS?
- Choose DiffSinger over ChatTTS when License: DiffSinger is MIT, ChatTTS is AGPL-3.0; Tags unique to DiffSinger: aaai2022, diffusion-model, singing-synthesis, speech-synthesis; Need precise control over the fundamental frequency (F0) when synthesizing singing voices.
- 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 DiffSinger?
- In need of real-time synthesis performance due to the resource demands of diffusion mechanisms Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks
- Is ChatTTS or DiffSinger more popular on GitHub?
- ChatTTS has more GitHub stars (39,768 vs 4,834). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and DiffSinger open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, DiffSinger: MIT).
- Where can I find alternatives to ChatTTS or DiffSinger?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and DiffSinger alternatives (ChatTTS markdown twin, DiffSinger 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 DiffSinger?
- ChatTTS: Slowing. DiffSinger: 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 DiffSinger?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; DiffSinger trust report.