REPOGEO REPORT · LITE

nicrusso7/rex-gym

Default branch master · commit 26663048 · scanned 5/22/2026, 5:59:40 PM

GitHub: 1,095 stars · 141 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 nicrusso7/rex-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.

OVERALL DIRECTION

highreadme#1

Reposition README H1 and opening paragraph to focus on `rex-gym`'s specific role

Why:

CURRENT

# Rex: an open-source quadruped robot

The goal of this project is to train an open-source 3D printed quadruped robot exploring `Reinforcement Learning` and `OpenAI Gym`.

COPY-PASTE FIX

# Rex-gym: OpenAI Gym environments for quadruped robot reinforcement learning

This repository provides a specialized collection of OpenAI Gym environments and tools designed for training the open-source 3D printed quadruped robot, Rex, using Reinforcement Learning. It includes the Rex URDF model, a PPO learning agent implementation, and scripts for training and visualizing control policies.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://pypi.org/project/rex-gym/
```

lowcomparison#3

Add a 'Why Rex-gym?' or 'Key Features' section to the README

Why:

COPY-PASTE FIX

## Why choose Rex-gym?

Rex-gym stands out by offering a highly specialized and ready-to-use reinforcement learning environment specifically tailored for open-source quadruped robots like Rex. Unlike general-purpose simulators, Rex-gym provides pre-configured URDF models, a PPO learning agent, and curated tasks, enabling researchers and developers to quickly prototype and train control policies for legged locomotion with a clear path to real-world deployment on 3D-printed hardware.

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 nicrusso7/rex-gym

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

PyBullet

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

PyBullet · recommended 2×
Isaac Gym · recommended 2×
MuJoCo · recommended 2×
Gymnasium · recommended 2×
Gazebo · recommended 2×

CATEGORY QUERY
How to simulate and train a quadruped robot using reinforcement learning in Python?
you: not recommended
AI recommended (in order):
1. PyBullet
2. Stable Baselines3
3. Isaac Gym
4. RLlib
5. MuJoCo
6. Gymnasium
7. CleanRL
8. Gazebo
9. ROS (Robot Operating System)
10. OpenAI Gym
11. Brax
AI recommended 11 alternatives but never named nicrusso7/rex-gym. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking open-source gym-like environments for developing legged robot control policies with RL.
you: not recommended
AI recommended (in order):
1. Isaac Gym
2. PyBullet
3. Brax
4. Roboschool
5. Gymnasium
6. MuJoCo
7. RLBench
8. Gazebo
AI recommended 8 alternatives but never named nicrusso7/rex-gym. 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 nicrusso7/rex-gym?
pass
AI did not name nicrusso7/rex-gym — 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?
If a team adopts nicrusso7/rex-gym in production, what risks or prerequisites should they evaluate first?
pass
AI named nicrusso7/rex-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 nicrusso7/rex-gym solve, and who is the primary audience?
pass
AI named nicrusso7/rex-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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MARKDOWN (README)

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HTML

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nicrusso7/rex-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