great-expectations/great_expectationsNew scan
91/ 100 · A

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

Always know what to expect from your data.

Python11,556 starsApache-2.0updated 4d ago
DocumentationREADME, setup, examples, license
95
EngineeringTests, CI, linting, lockfiles
92
Project healthDescription, activity, stars, deps
81

What to fix first

The highest-impact improvements for this repo.

  1. 1
    CI/CD
    EngineeringInfo

    Add a lint step (e.g. `npm run lint`, `ruff check .`, `cargo clippy`) to catch style issues automatically.

  2. 2
    CI/CD
    EngineeringInfo

    Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.

  3. 3
    Reproducibility
    EngineeringInfo

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

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 Apache-2.0.
  • 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

92
  • Tests100
    • Test files detected (contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/tests).
    • Pytest is fully configured in pyproject.toml with testpaths and test files detected.
    • Coverage reporting is configured in pyproject.toml.
  • CI/CD85

    Not applicable?

    • CI is configured (.github/workflows/ci.yml).
    • CI workflow runs tests.
    • CI runs on pull requests, not just on pushes to main.
    • CI does not appear to run a linter (−15 pts).Add a lint step (e.g. `npm run lint`, `ruff check .`, `cargo clippy`) to catch style issues automatically.
    • Optional: add type checking to CI.Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.
    • CI reports or uploads test coverage.
    • CI caches dependencies for faster runs.
    • CI tests across multiple environments or versions.
  • Linting and formatting100
    • Linter or formatter configured (contrib/ruff.toml).
    • pyproject.toml configures both a formatter/linter (ruff/black) and type checking (mypy).
  • Reproducibility80
    • Lockfile present (requirements.txt). Installs are reproducible.
    • Environment pinned via assets/docker/clickhouse/docker-compose.yml.
    • No Dependabot config (adding it earns up to +20 pts).Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.
  • Issue and PR templates90
    • Issue or PR templates present.
    • Optional: add a SECURITY.md.A SECURITY.md explains how to responsibly disclose vulnerabilities. Worth adding once the project has real users.

Project health

81
  • Dependency manifest65
    • Dependency manifest found (pyproject.toml).
    • pyproject.toml has a [build-system] table. The package can be built and published.
  • Repository metadata70
    • Repository has a description.
    • Primary language detected: Python.
  • Activity100
    • Actively maintained (pushed within the last month).
    • 11,556 stars.
  • Housekeeping100
    • .gitignore present.
Repository files34 root entries
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Issue or PR templates present.
  • assets
    Good: Environment pinned via assets/docker/clickhouse/docker-compose.yml.
  • ci
  • contrib
    Good: Test files detected (contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/tests).
    Good: Linter or formatter configured (contrib/ruff.toml).
  • docs
  • great_expectations
  • reqs
  • scripts
  • tests
  • .coderabbit.yaml
  • .git-blame-ignore-revs
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .readthedocs.yml
  • CITATION.cff
  • codecov.yml
  • CODEOWNERS
  • constraints-dev.txt
  • CONTRIBUTING_CODE.md
    Good: CONTRIBUTING guide or docs directory present.
  • CONTRIBUTING_WORKFLOWS.md
  • IDE_SETUP_TIPS.md
  • LICENSE
    Good: Licensed under Apache-2.0.
  • lychee.toml
  • MANIFEST.in
  • 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.
  • requirements-dev.txt
  • requirements-types.txt
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • setup.cfg
  • setup.py
  • tasks.py
  • versioneer.py