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Comparison

TTS vs Amphion

Verdict

Pick TTS when license: TTS is MPL-2.0, Amphion is MIT; pick Amphion when license: Amphion is MIT, TTS is MPL-2.0.

Markdown twin · TTS alternatives · Amphion alternatives

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TTS logo

TTS

coqui-ai/TTS

★ 46kpushed Aug 16, 2024
vs
Amphion logo

Amphion

open-mmlab/Amphion

★ 9.9kpushed Mar 25, 2026

Trust & integrity

SignalTTSAmphion
Maintenance
Dormant (693d since push)
As of today · github_public_v1
Slowing (107d 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
TTS trust reportAmphion trust reportTrust methodology

Tagline

TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Amphion
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio,

Stars

TTS
46k
Amphion
9.9k

Forks

TTS
6.2k
Amphion
822

Open issues

TTS
4
Amphion
175

Language

TTS
Python
Amphion
Python

Adopt for

TTS
-
Amphion
-

Persona

TTS
-
Amphion
-

Runtime

TTS
-
Amphion
-

License

TTS
MPL-2.0
Amphion
MIT

Last pushed

TTS
Aug 16, 2024
Amphion
Mar 25, 2026

Categories

TTS
Model Training, Speech & Audio, Inference & Serving
Amphion
Speech & Audio, Computer Vision, Inference & Serving

Trust and health

Maintenance

TTS
Dormant (18%)
Amphion
Slowing (36%)

Days since push

TTS
693d
Amphion
107d

Open issues (now)

TTS
4
Amphion
175

Security scan

TTS
137 low (137 low)
Amphion
No lockfile

Full report

TTS
Trust report
Amphion
Trust report

Shared compatibility

  • Python · TTS: Python runtime · Amphion: Python runtime

Choose TTS if…

  • License: TTS is MPL-2.0, Amphion is MIT.
  • Tags unique to TTS: deep-learning, glow-tts, python, hifigan.
  • Also covers Model Training.

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.
GitHubDetails

Choose Amphion if…

  • License: Amphion is MIT, TTS is MPL-2.0.
  • Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia.
  • Also covers Computer Vision.

When NOT to use Amphion

  • Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Explore

TTS trust report →Amphion trust report →Model Training category →Speech & Audio category →Inference & Serving category →Computer Vision category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: TTS 46k · Amphion 9.9k (synced Jul 11, 2026).

Common questions

What is the difference between TTS and Amphion?
TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. Amphion: Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, . See the comparison table for live GitHub stats and shared categories.
When should I choose TTS over Amphion?
Choose TTS over Amphion when License: TTS is MPL-2.0, Amphion is MIT; Tags unique to TTS: deep-learning, glow-tts, python, hifigan; Also covers Model Training.
When should I choose Amphion over TTS?
Choose Amphion over TTS when License: Amphion is MIT, TTS is MPL-2.0; Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia; Also covers Computer Vision.
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 Amphion?
Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is TTS or Amphion more popular on GitHub?
TTS has more GitHub stars (45,737 vs 9,927). Stars measure visibility, not whether either tool fits your constraints.
Are TTS and Amphion open source?
Yes - both are open-source projects on GitHub (TTS: MPL-2.0, Amphion: MIT).
Where can I find alternatives to TTS or Amphion?
GraphCanon lists graph-backed alternatives at TTS alternatives and Amphion alternatives (TTS markdown twin, Amphion 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 Amphion?
TTS: Dormant. Amphion: 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 Amphion?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; Amphion trust report.