Comparison
TTS vs Applio
Verdict
Pick TTS when license: TTS is MPL-2.0, Applio is MIT; pick Applio when license: Applio is MIT, TTS is MPL-2.0.
Markdown twin · TTS alternatives · Applio alternatives
GraphCanon updated today
Trust & integrity
| Signal | TTS | Applio |
|---|---|---|
| Maintenance | Dormant (693d since push) As of today · github_public_v1 | Very active (0d 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 | 27 low (27 low) As of today · osv@v1 |
Tagline
- TTS
- 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
- Applio
- A simple, high-quality voice conversion tool focused on ease of use and performance.
Stars
- TTS
- 46k
- Applio
- 3.5k
Forks
- TTS
- 6.2k
- Applio
- 557
Open issues
- TTS
- 4
- Applio
- 27
Language
- TTS
- Python
- Applio
- Python
Adopt for
- TTS
- -
- Applio
- -
Persona
- TTS
- -
- Applio
- -
Runtime
- TTS
- -
- Applio
- -
License
- TTS
- MPL-2.0
- Applio
- MIT
Last pushed
- TTS
- Aug 16, 2024
- Applio
- Jul 10, 2026
Categories
- TTS
- Model Training, Inference & Serving, Speech & Audio
- Applio
- Model Training, Developer Tools, Speech & Audio
Trust and health
Maintenance
- TTS
- Dormant (18%)
- Applio
- Very active (96%)
Days since push
- TTS
- 693d
- Applio
- 0d
Open issues (now)
- TTS
- 4
- Applio
- 27
Security scan
- TTS
- 137 low (137 low)
- Applio
- 27 low (27 low)
Full report
- TTS
- Trust report
- Applio
- Trust report
Choose TTS if…
- License: TTS is MPL-2.0, Applio is MIT.
- Tags unique to TTS: deep-learning, glow-tts, python, hifigan.
- Also covers Inference & Serving.
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 Applio if…
- License: Applio is MIT, TTS is MPL-2.0.
- Tags unique to Applio: rvc, applio, ai, speech-to-speech.
- Also covers Developer Tools.
When NOT to use Applio
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 (IAHispano/Applio) · observed Jul 11, 2026
- GitHub forks (IAHispano/Applio) · observed Jul 11, 2026
- Last push (IAHispano/Applio) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TTS 46k · Applio 3.5k (synced Jul 11, 2026).
Common questions
- What is the difference between TTS and Applio?
- TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. Applio: A simple, high-quality voice conversion tool focused on ease of use and performance.. See the comparison table for live GitHub stats and shared categories.
- When should I choose TTS over Applio?
- Choose TTS over Applio when License: TTS is MPL-2.0, Applio is MIT; Tags unique to TTS: deep-learning, glow-tts, python, hifigan; Also covers Inference & Serving.
- When should I choose Applio over TTS?
- Choose Applio over TTS when License: Applio is MIT, TTS is MPL-2.0; Tags unique to Applio: rvc, applio, ai, speech-to-speech; Also covers Developer Tools.
- 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 Applio?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is TTS or Applio more popular on GitHub?
- TTS has more GitHub stars (45,737 vs 3,467). Stars measure visibility, not whether either tool fits your constraints.
- Are TTS and Applio open source?
- Yes - both are open-source projects on GitHub (TTS: MPL-2.0, Applio: MIT).
- Where can I find alternatives to TTS or Applio?
- GraphCanon lists graph-backed alternatives at TTS alternatives and Applio alternatives (TTS markdown twin, Applio 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 Applio?
- TTS: Dormant. Applio: 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 TTS and Applio?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; Applio trust report.