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
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.
README is present.
README documents how to install the project.
Licensed under Apache-2.0.
Engineering
53
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.
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 is configured (.github/workflows/inactive.yaml).
Test files detected (examples/test_model_12hz_base.py).
Issue or PR templates present.
Project health
73
Repository has a description.
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.
.gitignore present.
Dependency manifest found (pyproject.toml).
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- —Commits (30d / 90d)
- 0Forks
- 0Releases
Community
- —Community health
- —authors own >50% of commits
- 0Watchers
Responsiveness
- —Median issue response
- —Median PR merge time
- 0Open issues
Repository files10 root entries
- .githubGood: 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
- examplesGood: Test files detected (examples/test_model_12hz_base.py).
- finetuning
- qwen_tts
- .gitignoreGood: .gitignore present.
- LICENSEGood: Licensed under Apache-2.0.
- MANIFEST.in
- pyproject.tomlGood: Dependency manifest found (pyproject.toml).
- README.mdGood: 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.