sportsdataverse/sportsdataverse-py

0

/ 100

Documentation99
Engineering88
Health100
Python104MIT1d ago
Grade a repo

Polished and well engineered. Punching above its star count.

sportsdataverse python package

Documentation

99

Contributing guide5pt92

Contributing guide is detailed and thorough.

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under MIT.

Engineering

88

Reproducibility6pt80

Lockfile present (uv.lock). Installs are reproducible.

Tests18pt85

Test files detected (pytest.ini).

CI/CD14pt85

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

Linting and formatting5pt100

Linter or formatter configured (.flake8).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

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)
  • 12
    Forks
  • 18
    Releaseslatest 12d ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 104
    Watchers

Responsiveness

  • 2d 4h
    Median issue response
  • 1h
    Median PR merge time
  • 38
    Open issues
Repository files29 root entries
  • .github
    Good: CI is configured (.github/workflows/tests.yml).
    Good: Issue or PR templates present.
  • .vscode
  • archive
  • docs
  • examples
  • recipe
  • sportsdataverse
  • tests
  • tools
  • .env.example
  • .flake8
    Good: Linter or formatter configured (.flake8).
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .markdownlint-cli2.yaml
  • .pre-commit-config.yaml
  • .python-version
    Good: Environment pinned via .python-version.
  • .yamlfmt
  • CHANGELOG.md
  • CLAUDE.md
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Issue: Contributing guide lacks a PR workflow section (−8 pts).Fix: Explain how to fork, branch, and open a pull request so contributors know what to expect.
    Good: Contributing guide includes code examples.
  • docs_instructions.md
  • LICENSE
    Good: Licensed under MIT.
  • MANIFEST.in
  • 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.
  • sdv-py-logo.png
  • Sportsdataverse_gh.png
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.