Comparison
TTS vs dia
Verdict
Pick TTS when license: TTS is MPL-2.0, dia is Apache-2.0; pick dia when license: dia is Apache-2.0, TTS is MPL-2.0.
Markdown twin · TTS alternatives · dia alternatives
GraphCanon updated today
Trust & integrity
| Signal | TTS | dia |
|---|---|---|
| Maintenance | Dormant (693d since push) As of today · github_public_v1 | Slowing (233d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 137 low (137 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- TTS
- 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
- dia
- A TTS model capable of generating ultra-realistic dialogue in one pass.
Stars
- TTS
- 46k
- dia
- 19k
Forks
- TTS
- 6.2k
- dia
- 1.7k
Open issues
- TTS
- 4
- dia
- 91
Language
- TTS
- Python
- dia
- Python
Adopt for
- TTS
- -
- dia
- -
Persona
- TTS
- -
- dia
- -
Runtime
- TTS
- -
- dia
- -
License
- TTS
- MPL-2.0
- dia
- Apache-2.0
Last pushed
- TTS
- Aug 16, 2024
- dia
- Nov 19, 2025
Categories
- TTS
- Model Training, Speech & Audio, Inference & Serving
- dia
- Model Training, Speech & Audio, Inference & Serving
Trust and health
Maintenance
- TTS
- Dormant (18%)
- dia
- Slowing (36%)
Days since push
- TTS
- 693d
- dia
- 233d
Open issues (now)
- TTS
- 4
- dia
- 91
Security scan
- TTS
- 137 low (137 low)
- dia
- No lockfile
Full report
- TTS
- Trust report
- dia
- Trust report
Shared compatibility
- Python · TTS: Python runtime · dia: Python runtime
Choose TTS if…
- License: TTS is MPL-2.0, dia is Apache-2.0.
- Tags unique to TTS: deep-learning, glow-tts, hifigan, pytorch.
- TTS ships Docker support for self-hosted deployment.
When NOT to use TTS
- Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose dia if…
- License: dia is Apache-2.0, TTS is MPL-2.0.
- Tags unique to dia: ai, text-to-speech, open-weight.
- More recently updated (last pushed Nov 19, 2025).
When NOT to use dia
- Last GitHub push was 234 days ago (slowing maintenance, Nov 19, 2025). Validate activity before betting a new project on dia.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (coqui-ai/TTS) · observed Jul 11, 2026
- GitHub forks (coqui-ai/TTS) · observed Jul 11, 2026
- Last push (coqui-ai/TTS) · observed Aug 16, 2024
- License file (MPL-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (nari-labs/dia) · observed Jul 11, 2026
- GitHub forks (nari-labs/dia) · observed Jul 11, 2026
- Last push (nari-labs/dia) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TTS 46k · dia 19k (synced Jul 11, 2026).
Common questions
- What is the difference between TTS and dia?
- TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. dia: A TTS model capable of generating ultra-realistic dialogue in one pass.. See the comparison table for live GitHub stats and shared categories.
- When should I choose TTS over dia?
- Choose TTS over dia when License: TTS is MPL-2.0, dia is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, pytorch; TTS ships Docker support for self-hosted deployment.
- When should I choose dia over TTS?
- Choose dia over TTS when License: dia is Apache-2.0, TTS is MPL-2.0; Tags unique to dia: ai, text-to-speech, open-weight; More recently updated (last pushed Nov 19, 2025).
- When should I avoid TTS?
- Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid dia?
- Last GitHub push was 234 days ago (slowing maintenance, Nov 19, 2025). Validate activity before betting a new project on dia. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is TTS or dia more popular on GitHub?
- TTS has more GitHub stars (45,737 vs 19,340). Stars measure visibility, not whether either tool fits your constraints.
- Are TTS and dia open source?
- Yes - both are open-source projects on GitHub (TTS: MPL-2.0, dia: Apache-2.0).
- Where can I find alternatives to TTS or dia?
- GraphCanon lists graph-backed alternatives at TTS alternatives and dia alternatives (TTS markdown twin, dia 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, TTS or dia?
- TTS: Dormant. dia: 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 TTS and dia?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; dia trust report.