Comparison
ChatTTS vs hyprwhspr
Verdict
Pick ChatTTS when license: ChatTTS is AGPL-3.0, hyprwhspr is MIT; pick hyprwhspr when license: hyprwhspr is MIT, ChatTTS is AGPL-3.0.
Markdown twin · ChatTTS alternatives · hyprwhspr alternatives
GraphCanon updated today
Trust & integrity
| Signal | ChatTTS | hyprwhspr |
|---|---|---|
| Maintenance | Slowing (91d since push) As of today · github_public_v1 | Very active (2d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 3 low (3 low) As of today · osv@v1 |
Tagline
- ChatTTS
- A generative speech model for daily dialogue
- hyprwhspr
- Native speech-to-text for Linux - Fast, accurate and private system-wide dictation
Stars
- ChatTTS
- 40k
- hyprwhspr
- 1.1k
Forks
- ChatTTS
- 4.2k
- hyprwhspr
- 83
Open issues
- ChatTTS
- 63
- hyprwhspr
- 2
Language
- ChatTTS
- Python
- hyprwhspr
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- hyprwhspr
- -
Persona
- ChatTTS
- -
- hyprwhspr
- -
Runtime
- ChatTTS
- -
- hyprwhspr
- -
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.
- hyprwhspr
- MIT
Last pushed
- ChatTTS
- Apr 10, 2026
- hyprwhspr
- Jul 8, 2026
Categories
- ChatTTS
- AI Agents, Speech & Audio
- hyprwhspr
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- hyprwhspr
- Very active (96%)
Days since push
- ChatTTS
- 91d
- hyprwhspr
- 2d
Open issues (now)
- ChatTTS
- 63
- hyprwhspr
- 2
Owner type
- ChatTTS
- Organization
- hyprwhspr
- User
Security scan
- ChatTTS
- No lockfile
- hyprwhspr
- 3 low (3 low)
Full report
- ChatTTS
- Trust report
- hyprwhspr
- Trust report
Choose ChatTTS if…
- License: ChatTTS is AGPL-3.0, hyprwhspr is MIT.
- Requirements: Python-based implementation means that familiarity with Python is necessary for effective use..
- Tags unique to ChatTTS: natural-language-inference, torch, english-language, chattts.
- 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.
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 Jul 11, 2026
- GitHub forks (2noise/ChatTTS) · observed Jul 11, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (goodroot/hyprwhspr) · observed Jul 11, 2026
- GitHub forks (goodroot/hyprwhspr) · observed Jul 11, 2026
- Last push (goodroot/hyprwhspr) · observed Jul 8, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatTTS 40k · hyprwhspr 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between ChatTTS and hyprwhspr?
- ChatTTS: A generative speech model for daily dialogue. hyprwhspr: Native speech-to-text for Linux - Fast, accurate and private system-wide dictation. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over hyprwhspr?
- Choose ChatTTS over hyprwhspr when License: ChatTTS is AGPL-3.0, hyprwhspr is MIT; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: natural-language-inference, torch, english-language, chattts; 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 hyprwhspr over ChatTTS?
- Choose hyprwhspr over ChatTTS when License: hyprwhspr is MIT, ChatTTS is AGPL-3.0; Tags unique to hyprwhspr: dictation, archlinux, cachyos, ai; More recently updated (last pushed Jul 8, 2026).
- 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.
- Is ChatTTS or hyprwhspr more popular on GitHub?
- ChatTTS has more GitHub stars (39,593 vs 1,081). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and hyprwhspr open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, hyprwhspr: MIT).
- Where can I find alternatives to ChatTTS or hyprwhspr?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and hyprwhspr alternatives (ChatTTS markdown twin, hyprwhspr 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 hyprwhspr?
- ChatTTS: Slowing. hyprwhspr: 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 hyprwhspr?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; hyprwhspr trust report.