Early stage. Tests, CI, and a strong README would raise this score quickly.

Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.

Documentation

78

Contributing guide5pt0

No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).

Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.

README12pt90

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Engineering

53

Linting and formatting5pt0

No linter or formatter configured.

Add [tool.ruff] to pyproject.toml. Ruff handles linting and formatting in one tool and replaces flake8, isort, and black.

Reproducibility6pt0

No dependency lockfile found (−70 pts).

Commit poetry.lock, uv.lock, pdm.lock, Pipfile.lock, conda-lock.yml, or another lockfile for your Python dependency manager.

CI/CD14pt40

CI is configured (.github/workflows/inactive.yaml).

Tests18pt80

Test files detected (examples/test_model_12hz_base.py).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

73

Repository metadata5pt60

Repository has a description.

Activity5pt60

Last pushed 3-6 months ago (−40 pts). A push within 90 days earns 80 pts; within 30 days earns 100 pts.

A recent commit keeps the project looking alive to visitors and contributors.

Housekeeping3pt60

.gitignore present.

Dependency manifest6pt100

Dependency manifest found (pyproject.toml).

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • Commits (30d / 90d)
  • 0
    Forks
  • 0
    Releases

Community

  • Community health
  • authors own >50% of commits
  • 0
    Watchers

Responsiveness

  • Median issue response
  • Median PR merge time
  • 0
    Open issues
Repository files10 root entries
  • .github
    Good: CI is configured (.github/workflows/inactive.yaml).
    Good: Issue or PR templates present.
    Issue: Build artifacts or local files may be committed (.github/.DS_Store) (−40 pts).Fix: Remove them and add to .gitignore.
  • assets
  • examples
    Good: Test files detected (examples/test_model_12hz_base.py).
  • finetuning
  • qwen_tts
  • .gitignore
    Good: .gitignore present.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • MANIFEST.in
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Issue: No status badges in the README (−10 pts).Fix: Add CI/build status badges from shields.io or your CI provider to signal project health.
    Good: README documents how to install the project.
    Good: README documents how to run the project.