waldur/waldur-mastermind
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Solid foundation. Invest in docs and CI to grow from here.

Top 24% of 5,156 graded repos

Waldur MasterMind is a hybrid cloud orchestrator.

Documentation80
Engineering80
Health100
Python71MIT1mo ago

Top fixes

Highest-impact changes first, ranked by point weight

9 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
    README12pt

    Show a quick-start snippet so contributors can see what using your project looks like.

  3. 3
    Install and run instructions9pt

    Add a .env.example listing all required environment variables so contributors know what to set up.

  4. 4
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

80

Contributing guide5pt25

Contributing guidance is in the README, not a dedicated CONTRIBUTING.md (−20 pts).

→ Moving it to a CONTRIBUTING.md makes it easier to find and keeps the README focused. A dedicated file earns +47 pts base.

README12pt85

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under MIT.

Engineering

80

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

Reproducibility6pt80

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

Tests18pt85

Test files detected (conftest.py).

CI/CD14pt100

CI is configured (.gitlab-ci.yml).

Linting and formatting5pt100

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

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)
  • 48
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 71
    Watchers

Responsiveness

  • 6h
    Median issue response
  • -
    Median PR merge time
  • 2
    Open issues
Repository files27 root entries
  • .claude
  • .devcontainer
    Good: Environment pinned via .devcontainer/Dockerfile.
  • docker
  • docs
  • scripts
  • src
  • tests
  • .coveragerc
  • .dockerignore
  • .gitignore
    Good: .gitignore present.
  • .gitlab-ci.yml
    Good: CI is configured (.gitlab-ci.yml).
  • .markdownlint.yaml
  • .pre-commit-config.yaml
  • .syft.yaml
  • ansible-generator-config.yaml
  • CHANGELOG
  • CLAUDE.md
  • conftest.py
    Good: Test files detected (conftest.py).
  • docker_build.sh
  • Dockerfile
  • LICENSE.md
    Good: Licensed under MIT.
  • MANIFEST.in
  • openapi-ts.config.mjs
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pytest.ini.example
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Issue: README has no code examples (−15 pts).Fix: Show a quick-start snippet so contributors can see what using your project looks like.
    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.
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.
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