RRepoGEO

REPOGEO REPORT · LITE

openai/mujoco-py

Default branch master · commit a13903b8 · scanned 5/16/2026, 1:31:51 PM

GitHub: 3,138 stars · 828 forks

AI VISIBILITY SCORE
60 /100
Needs work
Category recall
1 / 2
Avg rank #4.0 when recommended
Rule findings
1 pass · 1 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 openai/mujoco-py, 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
  • highabout#1
    Update repository description to reflect deprecation

    Why:

    CURRENT
    MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
    COPY-PASTE FIX
    DEPRECATED: Python bindings for MuJoCo (up to v2.1). New users should use the official MuJoCo Python bindings.
  • hightopics#2
    Add relevant topics, including deprecation status

    Why:

    COPY-PASTE FIX
    mujoco, physics-engine, robotics, simulation, python, reinforcement-learning, deprecated
  • mediumhomepage#3
    Add the documentation homepage URL

    Why:

    COPY-PASTE FIX
    https://openai.github.io/mujoco-py/build/html/index.html

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
1 / 2
50% of queries surface openai/mujoco-py
Avg rank
#4.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
bulletphysics/bullet3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. bulletphysics/bullet3 · recommended 1×
  2. deepmind/mujoco · recommended 1×
  3. deepmind/dm_control · recommended 1×
  4. viblo/pymunk · recommended 1×
  5. sofa-framework/sofa · recommended 1×
  • CATEGORY QUERY
    How can I perform efficient rigid body physics simulations in Python?
    you: #4
    AI recommended (in order):
    1. PyBullet (bulletphysics/bullet3)
    2. MuJoCo (deepmind/mujoco)
    3. dm_control (deepmind/dm_control)
    4. mujoco-py (openai/mujoco-py) ← you
    5. Pymunk (viblo/pymunk)
    6. SOFA (sofa-framework/sofa)
    7. sofa-python (sofa-framework/sofa-python)
    8. ODE (ode-dev/ode)
    9. ode-python (ode-dev/ode-python)
    Show full AI answer
  • CATEGORY QUERY
    What Python libraries are available for detailed contact dynamics in robotic simulations?
    you: not recommended
    AI recommended (in order):
    1. PyBullet
    2. MuJoCo
    3. Isaac Gym
    4. Drake
    5. Gazebo
    6. DART

    AI recommended 6 alternatives but never named openai/mujoco-py. 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 openai/mujoco-py?
    pass
    AI named openai/mujoco-py explicitly

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

  • If a team adopts openai/mujoco-py in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/mujoco-py 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 openai/mujoco-py solve, and who is the primary audience?
    pass
    AI named openai/mujoco-py explicitly

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

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