RRepoGEO

REPOGEO REPORT · LITE

Farama-Foundation/Arcade-Learning-Environment

Default branch main · commit 94c24368 · scanned 6/21/2026, 10:01:55 PM

GitHub: 2,426 stars · 471 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
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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/Arcade-Learning-Environment, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    atari, atari-2600, reinforcement-learning, machine-learning, ai-agents, game-ai, gym, gymnasium, ale, retro-gaming, python-framework
  • mediumabout#2
    Expand the repository's 'About' description

    Why:

    CURRENT
    The Arcade Learning Environment (ALE) -- a platform for AI research.
    COPY-PASTE FIX
    A standardized platform and Python framework for developing and testing AI agents and reinforcement learning algorithms on classic Atari 2600 games.
  • lowreadme#3
    Add a sentence clarifying ALE's role in the RL ecosystem to the README

    Why:

    COPY-PASTE FIX
    Add this sentence to the introductory paragraph: 'ALE serves as the foundational environment for agents developed using popular reinforcement learning frameworks like Gymnasium, Stable Baselines3, or RLlib.'

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
0 / 2
0% of queries surface Farama-Foundation/Arcade-Learning-Environment
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Gym
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Gym · recommended 2×
  2. Arcade Learning Environment (ALE) · recommended 2×
  3. RLlib · recommended 2×
  4. Stable Baselines3 · recommended 1×
  5. Dopamine · recommended 1×
  • CATEGORY QUERY
    How can I build AI agents to play vintage Atari 2600 video games?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Arcade Learning Environment (ALE)
    3. Stable Baselines3
    4. RLlib
    5. Dopamine
    6. Keras-RL

    AI recommended 6 alternatives but never named Farama-Foundation/Arcade-Learning-Environment. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python framework is best for training machine learning models on retro game environments?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (SB3)
    2. PyTorch
    3. OpenAI Gym
    4. Gymnasium
    5. RLlib
    6. Ray
    7. TensorFlow
    8. CleanRL
    9. Keras-RL2
    10. Keras
    11. PyTorch Lightning
    12. Gym-Retro
    13. Arcade Learning Environment (ALE)

    AI recommended 13 alternatives but never named Farama-Foundation/Arcade-Learning-Environment. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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/Arcade-Learning-Environment?
    pass
    AI named Farama-Foundation/Arcade-Learning-Environment 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/Arcade-Learning-Environment in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Farama-Foundation/Arcade-Learning-Environment 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/Arcade-Learning-Environment solve, and who is the primary audience?
    pass
    AI did not name Farama-Foundation/Arcade-Learning-Environment — likely talking about a different project

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

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Farama-Foundation/Arcade-Learning-Environment — 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