kathan17-source/courtiq
Grade a repo

0

/ 100

GradeB

Well engineered. The main gaps are a license and a contributing guide. Impressive for a brand-new repo.

Top 26% of 5,156 graded repos

Full-stack tennis analytics platform with leakage-safe ATP/WTA prediction, simulation, and 2D pose analysis.

Documentation66
Engineering93
Health86
Python01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

10 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    License6pt

    Add a LICENSE file. Without one, nobody can legally use, copy, or contribute to your code.

  3. 3
    Dependency manifest6pt

    Add a [project] table with name, version, and description so the package can be published and understood.

  4. 4
    Dependency manifest6pt

    Add `description = "..."` under [project]. It shows on PyPI and in tooling.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

66

License6pt0

No license detected.

→ Add a LICENSE file. Without one, nobody can legally use, copy, or contribute to your code.

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.

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

Engineering

93

Tests18pt80

Test files detected (pytest.ini).

CI/CD14pt100

CI is configured (.github/workflows/ci.yml).

Linting and formatting5pt100

Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).

Reproducibility6pt100

Lockfile present (requirements.txt). Installs are reproducible.

Issue and PR templates6pt100

Issue or PR templates present.

Project health

86

Dependency manifest6pt55

Dependency manifest found (pyproject.toml).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

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

Community

  • 42% - Weak
    Community health
  • -
    authors own >50% of commits
  • 0
    Watchers

Responsiveness

  • -
    Median issue response
  • -
    Median PR merge time
  • 7
    Open issues
Repository files26 root entries
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Dependabot covers 3 ecosystems (pip, github-actions, docker). Dependencies stay current.
    Good: Issue or PR templates present.
  • backend
  • docs
  • ml
  • output
  • outputs
  • scripts
  • tests
  • work
  • .dockerignore
  • .env.example
  • .gitignore
    Good: .gitignore present.
  • ALGORITHMS.md
  • DEMO.md
  • DEPLOYMENT.md
  • docker-compose.yml
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • Makefile
  • PRODUCTION_READINESS.md
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pytest.ini
    Good: Test files detected (pytest.ini).
  • 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.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • render.yaml
  • requirements-dev.txt
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • SECURITY.md
    Good: Security policy present.
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