Comparison
truss vs TTS
Verdict
Pick truss when license: truss is MIT, TTS is MPL-2.0; pick TTS when license: TTS is MPL-2.0, truss is MIT.
Markdown twin · truss alternatives · TTS alternatives
GraphCanon updated today
Trust & integrity
| Signal | truss | TTS |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (693d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | Published findings As of 4d · 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
- truss
- The simplest way to serve AI/ML models in production
- TTS
- 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Stars
- truss
- 1.2k
- TTS
- 46k
Forks
- truss
- 113
- TTS
- 6.2k
Open issues
- truss
- 74
- TTS
- 4
Language
- truss
- Python
- TTS
- Python
Adopt for
- truss
- -
- TTS
- -
Persona
- truss
- -
- TTS
- -
Runtime
- truss
- -
- TTS
- -
License
- truss
- MIT
- TTS
- MPL-2.0
Last pushed
- truss
- Jul 15, 2026
- TTS
- Aug 16, 2024
Categories
- truss
- Computer Vision, Inference & Serving, Speech & Audio
- TTS
- Inference & Serving, Model Training, Speech & Audio
Trust and health
Maintenance
- truss
- Very active (96%)
- TTS
- Dormant (18%)
Days since push
- truss
- 0d
- TTS
- 693d
Open issues (now)
- truss
- 74
- TTS
- 4
OSV dependency advisories
- truss
- No lockfile (source not queried)
- TTS
- Published findings
Full report
- truss
- Trust report
- TTS
- Trust report
Shared compatibility
- Python · truss: Python runtime · TTS: Python runtime
Choose truss if…
- License: truss is MIT, TTS is MPL-2.0.
- Tags unique to truss: artificial-intelligence, easy-to-use, falcon, inference-api.
- Also covers Computer Vision.
When NOT to use truss
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose TTS if…
- License: TTS is MPL-2.0, truss is MIT.
- Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan.
- Also covers Model Training.
- TTS ships Docker support for self-hosted deployment.
When NOT to use TTS
- Last GitHub push was 698 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (basetenlabs/truss) · observed Jul 15, 2026
- GitHub forks (basetenlabs/truss) · observed Jul 15, 2026
- Last push (basetenlabs/truss) · observed Jul 15, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: truss 1.2k · TTS 46k (synced Jul 15, 2026).
Common questions
- What is the difference between truss and TTS?
- truss: The simplest way to serve AI/ML models in production. TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. See the comparison table for live GitHub stats and shared categories.
- When should I choose truss over TTS?
- Choose truss over TTS when License: truss is MIT, TTS is MPL-2.0; Tags unique to truss: artificial-intelligence, easy-to-use, falcon, inference-api; Also covers Computer Vision.
- When should I choose TTS over truss?
- Choose TTS over truss when License: TTS is MPL-2.0, truss is MIT; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Model Training; TTS ships Docker support for self-hosted deployment.
- When should I avoid truss?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid TTS?
- Last GitHub push was 698 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is truss or TTS more popular on GitHub?
- TTS has more GitHub stars (45,737 vs 1,174). Stars measure visibility, not whether either tool fits your constraints.
- Are truss and TTS open source?
- Yes - both are open-source projects on GitHub (truss: MIT, TTS: MPL-2.0).
- Where can I find alternatives to truss or TTS?
- GraphCanon lists graph-backed alternatives at truss alternatives and TTS alternatives (truss markdown twin, TTS 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, truss or TTS?
- truss: Very active. TTS: Dormant. 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 truss and TTS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: truss trust report; TTS trust report.