RRepoGEO

REPOGEO REPORT · LITE

hardmaru/estool

Default branch master · commit b0954523 · scanned 6/3/2026, 4:03:01 AM

GitHub: 961 stars · 161 forks

AI VISIBILITY SCORE
35 /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
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 hardmaru/estool, 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 for Evolution Strategies and Genetic Algorithms.

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    evolution-strategies, genetic-algorithms, reinforcement-learning, openai-gym, cma-es, population-based-methods, python
  • highreadme#2
    Reposition the README's opening sentence to explicitly state it's a Python library/tool.

    Why:

    CURRENT
    Implementation of various Evolution Strategies, such as GA, Population-based REINFORCE (Section 6 of Williams 1992), CMA-ES and OpenAI's ES using common interface.
    COPY-PASTE FIX
    ESTool is a Python library implementing various Evolution Strategies, such as GA, Population-based REINFORCE (Section 6 of Williams 1992), CMA-ES and OpenAI's ES, all through a common interface.
  • mediumreadme#3
    Add a clear statement about the project's license in the README.

    Why:

    COPY-PASTE FIX
    ## License

This project includes a LICENSE file, which outlines the specific terms under which this software is provided. Please refer to the LICENSE file for full details.

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 hardmaru/estool
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DEAP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DEAP · recommended 1×
  2. PyGAD · recommended 1×
  3. LeapPy · recommended 1×
  4. evosax · recommended 1×
  5. Nevergrad · recommended 1×
  • CATEGORY QUERY
    What Python libraries are available for implementing evolution strategies or genetic algorithms?
    you: not recommended
    AI recommended (in order):
    1. DEAP
    2. PyGAD
    3. LeapPy
    4. evosax
    5. Nevergrad
    6. Platypus

    AI recommended 6 alternatives but never named hardmaru/estool. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to optimize control policies using population-based search methods.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym (openai/gym)
    2. Farama Gymnasium (Farama-Foundation/Gymnasium)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. RLlib (ray-project/ray)
    7. DEAP (deap/deap)
    8. Nevergrad (facebookresearch/nevergrad)
    9. JAX (google/jax)
    10. Brax (google/brax)
    11. EvoJAX (google/evojax)

    AI recommended 11 alternatives but never named hardmaru/estool. 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 hardmaru/estool?
    pass
    AI named hardmaru/estool explicitly

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

  • If a team adopts hardmaru/estool in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hardmaru/estool 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 hardmaru/estool solve, and who is the primary audience?
    pass
    AI named hardmaru/estool 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 hardmaru/estool. 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/hardmaru/estool.svg)](https://repogeo.com/en/r/hardmaru/estool)
HTML
<a href="https://repogeo.com/en/r/hardmaru/estool"><img src="https://repogeo.com/badge/hardmaru/estool.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

hardmaru/estool — 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