GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
🐸TTS is a Python-based deep learning toolkit for developing text-to-speech systems featuring models like Tacotron and Vocoder for training.
Good fit when
- If you are working on research projects that require advanced models such as Glow-TTS, HifiGAN, or MelGAN for high-quality speech synthesis
- When you need a tool that supports multiple speaker configurations and can train multi-speaker TTS models effectively
Avoid when
- If your project strictly requires a lightweight installation without the overhead of extra dependencies included when installing 🐸TTS from source for development purposes
- In cases where you are restricted to older Python versions less than 3.9, as 🐸TTS is tested on systems with python >= 3.9 but < 3.12
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (764d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- 137 low (137 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install 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 Python-based deep learning toolkit for creating text-to-speech systems, featuring models like Tacotron and Vocoder, and training capabilities.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- 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 is tested on Ubuntu 18.04 with **python >= 3.9, < 3.12.**.Source link
Tags
README
Installation 🐸TTS is tested on Ubuntu 18.04 with python = 3.9, < 3.12. . 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. If you...
For agents
This page has a .md twin and JSON over the API.