REPOGEO REPORT · LITE
qgallouedec/panda-gym
Default branch master · commit 10c4d8ad · scanned 6/10/2026, 8:02:00 PM
GitHub: 757 stars · 134 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 qgallouedec/panda-gym, 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.
- highreadme#1Reposition the README H1 to specify category and focus
Why:
CURRENT# panda-gym Set of robotic environments based on PyBullet physics engine and gymnasium.
COPY-PASTE FIX# panda-gym: Gymnasium Environments for Franka Emika Panda Robots (PyBullet-powered) Set of robotic environments based on PyBullet physics engine and gymnasium.
- mediumtopics#2Add 'gymnasium', 'pybullet', and 'simulation' to topics
Why:
CURRENTartificial-intelligence, deep-learning, franka-emika, machine-learning, python, reinforcement-learning, robotics
COPY-PASTE FIXartificial-intelligence, deep-learning, franka-emika, gymnasium, machine-learning, python, pybullet, reinforcement-learning, robotics, simulation
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://qgallouedec.github.io/panda-gym/
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.
- PyBullet · recommended 2×
- MuJoCo · recommended 2×
- Gazebo · recommended 2×
- dm_control · recommended 1×
- Isaac Gym · recommended 1×
- CATEGORY QUERYHow can I simulate robotic arm environments for reinforcement learning research in Python?you: not recommendedAI recommended (in order):
- PyBullet
- MuJoCo
- dm_control
- Isaac Gym
- Isaac Sim
- RoboSuite
- Gymnasium
- ROS
- Gazebo
AI recommended 9 alternatives but never named qgallouedec/panda-gym. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a gymnasium-compatible physics simulation platform for training robotic agents effectively.you: not recommendedAI recommended (in order):
- Isaac Gym / Isaac Sim
- MuJoCo
- PyBullet
- RoboSchool
- Gazebo
AI recommended 5 alternatives but never named qgallouedec/panda-gym. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 qgallouedec/panda-gym?passAI named qgallouedec/panda-gym explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts qgallouedec/panda-gym in production, what risks or prerequisites should they evaluate first?passAI named qgallouedec/panda-gym 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 qgallouedec/panda-gym solve, and who is the primary audience?passAI named qgallouedec/panda-gym explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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qgallouedec/panda-gym — 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