crewAIInc/crewAINew scan
94/ 100 · A

A top-tier open source project. Docs, tests, and CI are all in excellent shape.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Python53,541 starsMITupdated 2d ago
DocumentationREADME, setup, examples, license
95
EngineeringTests, CI, linting, lockfiles
99
Project healthDescription, activity, stars, deps
78

What to fix first

The highest-impact improvements for this repo.

  1. 1
    CI/CD
    EngineeringInfo

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

  2. 2
    Reproducibility
    EngineeringInfo

    Add additional package-ecosystem entries (especially github-actions) to keep all dependencies current.

  3. 3
    Contributing guide
    DocumentationInfo

    A CODE_OF_CONDUCT.md signals that your project is welcoming. GitHub has a template you can add in one click.

Detailed breakdown

Documentation

95
  • README100
    • README is present.
    • README is well structured with multiple sections.
    • README includes screenshots or visuals. Great for first impressions.
    • README has code examples.
    • README links to a live demo or deployed app.
    • README includes status badges.
  • Install and run instructions100
    • README documents how to install the project.
    • README documents how to run the project.
    • .env.example is present. Contributors can see exactly which env vars to set.
  • License100
    • Licensed under MIT.
  • Contributing guide70
    • CONTRIBUTING guide or docs directory present.
    • Optional: add a Code of Conduct (+5 pts).A CODE_OF_CONDUCT.md signals that your project is welcoming. GitHub has a template you can add in one click.

Engineering

99
  • Tests100
    • Test files detected (conftest.py).
    • Pytest is fully configured in pyproject.toml with testpaths and test files detected.
  • CI/CD100

    Not applicable?

    • CI is configured (.github/workflows/build-uv-cache.yml).
    • CI workflow runs tests.
    • CI runs on pull requests, not just on pushes to main.
    • CI workflow runs a lint or format check.
    • CI runs type checking (tsc, mypy, cargo check, etc.).
    • Optional: report test coverage in CI.Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.
    • CI caches dependencies for faster runs.
    • CI tests across multiple environments or versions.
  • Linting and formatting100
    • Linter or formatter configured (.editorconfig).
    • pyproject.toml configures both a formatter/linter (ruff/black) and type checking (mypy).
  • Reproducibility92
    • Lockfile present (uv.lock). Installs are reproducible.
    • Environment pinned via .python-version.
    • Dependabot configured for uv.
    • Dependabot only covers one ecosystem (+12 pts; covering 2+ earns +20 pts).Add additional package-ecosystem entries (especially github-actions) to keep all dependencies current.
  • Issue and PR templates100
    • Issue or PR templates present.
    • Security policy present.

Project health

78
  • Dependency manifest55
    • Dependency manifest found (pyproject.toml).
  • Repository metadata70
    • Repository has a description.
    • Primary language detected: Python.
  • Activity100
    • Actively maintained (pushed within the last month).
    • 53,541 stars.
  • Housekeeping100
    • .gitignore present.
Repository files14 root entries
  • .github
    Good: CONTRIBUTING guide or docs directory present.
    Good: CI is configured (.github/workflows/build-uv-cache.yml).
    Good: Dependabot configured for uv.
    Good: Issue or PR templates present.
    Good: Security policy present.
  • docs
  • lib
  • scripts
  • .editorconfig
    Good: Linter or formatter configured (.editorconfig).
  • .env.test
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .python-version
    Good: Environment pinned via .python-version.
  • conftest.py
    Good: Test files detected (conftest.py).
  • LICENSE
    Good: Licensed under MIT.
  • 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.
    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.