GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
45views this month
Decision brief
TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8.
Good fit when
- Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks.
- Choose TTS if your project benefits from specific speech datasets or requires customization beyond what is offered by pre-trained models.
Avoid when
- Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases.
- Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1045d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- 636 low (636 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/mozilla/TTSSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A deep learning framework for text-to-speech synthesis.
Capability facts
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
TTS supports **python >= 3.6, <3.9**.Source link
Tags
README
Install TTS TTS supports python = 3.6, <3.9 . If you are only interested in synthesizing speech with the released TTS models, installing from PyPI is the easiest option. If you plan to code or train models, clone TTS and install it locally.
For agents
This page has a .md twin and JSON over the API.