RRepoGEO

REPOGEO REPORT · LITE

Farama-Foundation/PettingZoo

Default branch master · commit 243ca19c · scanned 5/22/2026, 9:21:53 AM

GitHub: 3,419 stars · 485 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
93 /100
Healthy
Category recall
2 / 2
Avg rank #1.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Farama-Foundation/PettingZoo, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify license information in README

    Why:

    COPY-PASTE FIX
    Add a clear statement in the README, perhaps under a 'License' heading, specifying the exact license(s) that apply to PettingZoo, referencing the existing LICENSE file for full details.
  • mediumreadme#2
    Emphasize the unique Agent Environment Cycle (AEC) API in the README introduction

    Why:

    CURRENT
    PettingZoo is a Python library for conducting research in multi-agent reinforcement learning, akin to a multi-agent version of Gymnasium.
    COPY-PASTE FIX
    PettingZoo is a Python library for multi-agent reinforcement learning, offering a standardized, Gym-like API and uniquely featuring the Agent Environment Cycle (AEC) API for clear modeling of sequential, turn-based interactions.
  • lowtopics#3
    Add more specific topics related to MARL API features

    Why:

    CURRENT
    api, gym, gymnasium, multi-agent-reinforcement-learning, multiagent-reinforcement-learning, reinforcement-learning
    COPY-PASTE FIX
    api, gym, gymnasium, multi-agent-reinforcement-learning, multiagent-reinforcement-learning, reinforcement-learning, agent-environment-cycle, marl-environments

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
2 / 2
100% of queries surface Farama-Foundation/PettingZoo
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
18%
Of all named tools, what % are you?
Top rival
OpenSpiel
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenSpiel · recommended 2×
  2. Gymnasium · recommended 2×
  3. SMAC · recommended 1×
  4. MAgent · recommended 1×
  5. Multi-Agent Particle Environment (MPE) · recommended 1×
  • CATEGORY QUERY
    How can I simulate multi-agent reinforcement learning environments for research in Python?
    you: #1
    AI recommended (in order):
    1. PettingZoo ← you
    2. SMAC
    3. OpenSpiel
    4. Gymnasium
    5. MAgent
    6. Multi-Agent Particle Environment (MPE)
    Show full AI answer
  • CATEGORY QUERY
    Looking for a standardized API for developing and testing multi-agent reinforcement learning algorithms.
    you: #1
    AI recommended (in order):
    1. PettingZoo ← you
    2. OpenSpiel
    3. Gymnasium
    4. RLlib
    5. MARL-Baselines
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Farama-Foundation/PettingZoo?
    pass
    AI named Farama-Foundation/PettingZoo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Farama-Foundation/PettingZoo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Farama-Foundation/PettingZoo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Farama-Foundation/PettingZoo solve, and who is the primary audience?
    pass
    AI named Farama-Foundation/PettingZoo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of Farama-Foundation/PettingZoo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Farama-Foundation/PettingZoo.svg)](https://repogeo.com/en/r/Farama-Foundation/PettingZoo)
HTML
<a href="https://repogeo.com/en/r/Farama-Foundation/PettingZoo"><img src="https://repogeo.com/badge/Farama-Foundation/PettingZoo.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Farama-Foundation/PettingZoo — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite