Agent Friendly Code

apache/superset

GitHub
https://github.com/apache/superset

Apache Superset is a Data Visualization and Data Exploration Platform

  • analytics
  • apache
  • apache-superset
  • asf
  • bi
  • business-analytics
  • business-intelligence
  • data-analysis
  • data-analytics
  • data-engineering
  • data-science
  • data-visualization
  • data-viz
  • flask
  • python
  • react
  • sql-editor
  • superset
Stars:
75.4k
Language:
Python
Default branch:
master
Last scored:
Overall

At a glance

Rank
#5 of 401
Top 1% · #1 of 56 Python repos
Checks passed
13 of 17
Full list below
Best set up for
Claude Code
Score 94.7
Needs most work for
OpenHands
Biggest fix: .openhands/setup.sh (+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
    Manageable size
    If possible, split into smaller modules or carve out a focused entry path. Document where to start in AGENTS.md.
    +5.3 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
#9 of 401
94.7
  • ✓AGENTS.md / CLAUDE.md
  • ✓Test suite
  • ✓Reproducible dev env
Cursor
#3 of 401
91.7
  • ✓Cursor rules (.cursor/rules)
  • ✓README
  • ✓Type configuration
Gemini CLI
#2 of 401
91.3
  • ✓GEMINI.md
  • ✓README
  • ✓Test suite
Kimi Code CLI
#20 of 401
90.4
  • ✓AGENTS.md / CLAUDE.md
  • ✓Test suite
  • ✓Dependency manifest
Codex
#21 of 401
89.9
  • ✓AGENTS.md / CLAUDE.md
  • ✓README
  • ✓Test suite
Devin
#5 of 401
89.5
  • ✓Reproducible dev env
  • ✓Dependency manifest
  • ✓Test suite
Pi
#22 of 401
89.3
  • ✓AGENTS.md / CLAUDE.md
  • ✓Test suite
  • ✓Linter / formatter config
Aider
#10 of 401
81.4
  • ✗.aider.conf.yml
  • ✓Linter / formatter config
  • ✓Test suite
OpenHands
#22 of 401
80.4
  • ✓CI configuration
  • ✓Dependency manifest
  • ✓Reproducible dev env

Does apache/superset 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) · 16,630 characters
Agent-specific files
GEMINI.md (new tab) (16,630 characters), .cursor/rules (new tab) (1 .mdc file)No .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 · 13 passed

Skills (.agents/skills)· 0% pass
No .agents/skills/<name>/SKILL.md
AGENTS.md / CLAUDE.md· 100% pass
Substantive (16,630 characters)
AGENTS.md
.aider.conf.yml· 0% pass
No .aider.conf.yml at repo root
CI configuration· 100% pass
52 GitHub Actions workflows
.github/workflows
CONTRIBUTING guide· 100% pass
Guide present
CONTRIBUTING.md
Cursor rules (.cursor/rules)· 100% pass
1 .mdc file in .cursor/rules/
.cursor/rules/dev-standard.mdc
Dependency manifest· 100% pass
Manifest present
pyproject.toml
Reproducible dev env· 100% pass
4 env artifacts (Makefile, .devcontainer/devcontainer.json)
Makefile
GEMINI.md· 100% pass
Substantive GEMINI.md (16,630 characters)
GEMINI.md
License file· 100% pass
License present
LICENSE.txt
Linter / formatter config· 100% pass
Config detected
.pylintrc
.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 (24,045 characters)
README.md
Manageable size· 20% pass
10000+ files — very large
Test suite· 100% pass
Found /tests
tests
Type configuration· 100% pass
Configured in pyproject.toml
pyproject.toml

How apache/superset compares

vs leaderboard average
21.9 pts above
Average 66.8
vs Python average
17.7 pts above
Average 71.0
Stars among Python repos
#16 of 56

Missing here, and how many repos have it

  • Skills (.agents/skills) · passed by 17% of leaderboard repos, 20% of Python repos

Passes checks most repos miss

  • Cursor rules (.cursor/rules) · only 4% of repos pass it
  • Reproducible dev env · only 22% of repos pass it
  • GEMINI.md · only 1% of repos pass it
  • Pre-commit / git hooks · only 29% of repos pass it

One fix for the most agents: Manageable size would raise the score for all 9 agents, by up to 5.7 points.

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All Python repos →

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Repos tagged with the same GitHub topics, most shared first.

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Agent friendly score for github/apache/superset
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Check the score on every pull request

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