Agent Friendly Code

pandas-dev/pandas

GitHub
https://github.com/pandas-dev/pandas

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

Stars:
50.3k
Language:
Python
Default branch:
main
Last scored:
Overall

At a glance

Rank
#166 of 401
Top 41% · #35 of 56 Python repos
Checks passed
8 of 17
Full list below
Best set up for
Claude Code + 1 more
Score 75.7
Needs most work for
OpenHands
Biggest fix: Reproducible dev env (+10.0 pts)

What it has

What it's missing

What to fix first

Pick an AI agent

Showing fixes for Claude Code

  1. 1
    Reproducible dev env
    Add a Makefile or devcontainer or Dockerfile so the agent can set up the project in one command.
    +11.8 pts
  2. 2
    CONTRIBUTING guide
    Add CONTRIBUTING.md describing branch naming, commit style, test commands, and the PR process.
    +5.3 pts
  3. 3
    Test suite
    Add a tests/ (or test/, __tests__/, spec/) directory with runnable tests. Document how to run them in AGENTS.md.
    +3.9 pts

Score for each AI agent

Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →

Claude Code
#165 of 401
75.7
  • ✓AGENTS.md / CLAUDE.md
  • ~Test suite
  • ✗Reproducible dev env
Pi
#133 of 401
75.7
  • ✓AGENTS.md / CLAUDE.md
  • ~Test suite
  • ✓Linter / formatter config
Codex
#153 of 401
74.8
  • ✓AGENTS.md / CLAUDE.md
  • ✓README
  • ~Test suite
Kimi Code CLI
#155 of 401
73.7
  • ✓AGENTS.md / CLAUDE.md
  • ~Test suite
  • ✓Dependency manifest
Cursor
#128 of 401
70.0
  • ✗Cursor rules (.cursor/rules)
  • ✓README
  • ✓Type configuration
Aider
#176 of 401
67.6
  • ✗.aider.conf.yml
  • ✓Linter / formatter config
  • ~Test suite
Gemini CLI
#162 of 401
67.2
  • ✗GEMINI.md
  • ✓README
  • ~Test suite
Devin
#229 of 401
67.0
  • ✗Reproducible dev env
  • ✓Dependency manifest
  • ~Test suite
OpenHands
#241 of 401
62.8
  • ✓CI configuration
  • ✓Dependency manifest
  • ✗Reproducible dev env

Does pandas-dev/pandas have agent instructions?

An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.

AGENTS.md / CLAUDE.md
AGENTS.md (new tab) · 2,713 characters
Agent-specific files
None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills
Repos that have one
29 of 56 Python repos · 221 of 401 repos on the leaderboard · See examples →

All 17 checks · 8 passed

Skills (.agents/skills)· 0% pass
No .agents/skills/<name>/SKILL.md
AGENTS.md / CLAUDE.md· 100% pass
Substantive (2,713 characters)
AGENTS.md
.aider.conf.yml· 0% pass
No .aider.conf.yml at repo root
CI configuration· 100% pass
14 GitHub Actions workflows
.github/workflows
CONTRIBUTING guide· 0% pass
No CONTRIBUTING file
Cursor rules (.cursor/rules)· 0% pass
No .cursor/rules/*.mdc or .cursorrules
Dependency manifest· 100% pass
Manifest present
pyproject.toml
Reproducible dev env· 0% pass
No Makefile / devcontainer / Docker / equivalent found
GEMINI.md· 0% pass
No GEMINI.md at repo root
License file· 100% pass
License present
LICENSE
Linter / formatter config· 100% pass
Configured in pyproject.toml
pyproject.toml
.openhands/setup.sh· 0% pass
No .openhands/setup.sh
Pre-commit / git hooks· 100% pass
Hook framework configured
.pre-commit-config.yaml
README· 100% pass
README detailed (10,190 characters)
README.md
Manageable size· 50% pass
2525 files — large
Test suite· 70% pass
Test files detected (pandas/tests/api/test_api.py)
pandas/tests/api/test_api.py
Type configuration· 100% pass
Configured in pyproject.toml
pyproject.toml

How pandas-dev/pandas compares

vs leaderboard average
3.7 pts above
Average 66.8
vs Python average
0.5 pts below
Average 71.0
Stars among Python repos
#27 of 56

Missing here, and how many repos have it

  • CONTRIBUTING guide · passed by 86% of leaderboard repos, 88% of Python repos
  • Reproducible dev env · passed by 22% of leaderboard repos, 29% of Python repos
  • Skills (.agents/skills) · passed by 17% of leaderboard repos, 20% of Python repos

Passes checks most repos miss

  • Pre-commit / git hooks · only 29% of repos pass it

One fix for the most agents: Reproducible dev env would raise the score for all 9 agents, by up to 11.9 points.

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Agent friendly score for github/pandas-dev/pandas
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