pandas-dev/pandasNew scan
91/ 100 · A

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

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Python49,000 starsBSD-3-Clauseupdated today
DocumentationREADME, setup, examples, license
93
EngineeringTests, CI, linting, lockfiles
86
Project healthDescription, activity, stars, deps
100

What to fix first

The highest-impact improvements for this repo.

  1. 1
    CI/CD
    EngineeringIssue

    Add a lint step 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
    Install and run instructions
    DocumentationIssue

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

Detailed breakdown

Documentation

93
  • 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 instructions90
    • README documents how to install the project.
    • README documents how to run the project.
    • No .env.example found (−10 pts).Add a .env.example listing all required environment variables so contributors know what to set up.
  • License100
    • Licensed under BSD-3-Clause.
  • Contributing guide72
    • CONTRIBUTING guide found.
    • CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
    • Optional: add a Code of Conduct.A CODE_OF_CONDUCT.md signals that your project is welcoming. GitHub has a template you can add in one click.

Engineering

86
  • Tests100
    • Test files detected (pandas/conftest.py).
    • 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/code-checks.yml).
    • CI workflow runs tests.
    • CI runs on pull requests, not just on pushes to main.
    • CI does not run a lint or format check (−15 pts).Add a lint step 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 tests across multiple environments or versions.
  • Linting and formatting100
    • Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).
  • Reproducibility22
    • No dependency lockfile found (−70 pts).Commit a lockfile (package-lock.json, poetry.lock, uv.lock, etc.) so installs produce the same result everywhere.
    • Environment pinned via environment.yml.
    • Dependabot configured for github-actions.
    • Dependabot only covers one ecosystem (−8 pts). Covering 2+ ecosystems earns the full +20 pts.Add additional package-ecosystem entries (especially github-actions) to keep all dependencies current.
  • Issue and PR templates100
    • 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

100
  • Dependency manifest100
    • Dependency manifest found (pyproject.toml).
    • pyproject.toml has a [project] table with package metadata.
    • pyproject.toml includes a description.
    • pyproject.toml specifies requires-python, preventing installs on incompatible versions.
    • pyproject.toml has a [build-system] table. The package can be built and published.
  • Repository metadata100
    • Repository has a description.
    • Primary language detected: Python.
    • pyproject.toml [project] metadata is complete (description, authors, urls).
  • Activity100
    • Actively maintained (pushed within the last month).
    • 49,000 stars.
  • Housekeeping100
    • .gitignore present.
Repository files29 root entries
  • .github
    Good: CI is configured (.github/workflows/code-checks.yml).
    Good: Dependabot configured for github-actions.
    Good: Issue or PR templates present.
  • asv_bench
  • ci
  • doc
    Good: CONTRIBUTING guide found.
    Issue: CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Fix: Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
  • LICENSES
  • pandas
    Good: Test files detected (pandas/conftest.py).
  • scripts
  • subprojects
  • typings
  • web
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • AGENTS.md
  • AUTHORS.md
  • CITATION.cff
  • codecov.yml
  • environment.yml
    Good: Environment pinned via environment.yml.
  • generate_pxi.py
  • generate_version.py
  • LICENSE
    Good: Licensed under BSD-3-Clause.
  • MANIFEST.in
  • meson.build
  • pixi.lock
  • pixi.toml
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pyright_reportGeneralTypeIssues.json
  • 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