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coqui-ai/TTS

coqui-ai / TTS

Dev Agents & ProgramsPythonMPL-2.0
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- a deep learning toolkit for Text-to-Speech, battle-tested in research and production

46.1kstars
6.2kforks
3open issues
2024-08-16last pushed
MPL-2.0license

What it is, and how people use it

- a deep learning toolkit for Text-to-Speech, battle-tested in research and production It sits on the Dev Agents & Programs shelf of the catalog, maintained by @coqui-ai.

✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.
✓Read the SKILL.md / README first; most setups are one command from the docs.
✓Teams use it to standardise how agents behave across every repo in the org.
deep-learningglow-ttshifiganmelganmulti-speaker-tts
coqui.ai

Why builders keep it installedDev Agents & Programs benefits

Day-one leverage

These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.

Composes with your agent

Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.

Built under real workloads

Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.

Free and open source

Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.

Contributorsloading from GitHub…

COcoquidev1727COcoquidev2655COcoquidev3582COcoquidev4509COcoquidev5436COcoquidev6364COcoquidev7291COcoquidev8218

Languagesestimated from snapshot

  • Python 74.0%
  • Rust 14.0%
  • Shell 12.0%

Community pulsesnapshot ratios, normalized

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