RRepoGEO

REPOGEO REPORT · LITE

uqfoundation/pathos

Default branch master · commit a41779dd · scanned 5/11/2026, 6:57:24 PM

GitHub: 1,484 stars · 88 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 uqfoundation/pathos, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Reposition the README's opening paragraph to clarify its role in distributed computing

    Why:

    CURRENT
    pathos
parallel graph management and execution in heterogeneous computing

About the Pathos Framework
``pathos`` is a framework for heterogeneous computing. It provides a consistent
high-level interface for configuring and launching parallel computations
across heterogeneous resources.
    COPY-PASTE FIX
    pathos: Robust Parallel and Distributed Computing for Python
``pathos`` is a powerful framework designed for heterogeneous computing, offering a consistent high-level interface for configuring and launching parallel and distributed computations across diverse resources. It extends Python's native parallel processing with advanced object serialization (via `dill`), enabling seamless execution of complex tasks across local, remote, and clustered environments with simple `map`-like interfaces.
  • lowreadme#2
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## License
`pathos` is distributed under [insert specific license name(s) here, e.g., a custom license combining X and Y]. 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 uqfoundation/pathos
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ray · recommended 2×
  2. Celery · recommended 2×
  3. Joblib · recommended 2×
  4. Dask Distributed · recommended 1×
  5. Apache Spark (PySpark) · recommended 1×
  • CATEGORY QUERY
    How to easily run Python code in parallel across different computing clusters?
    you: not recommended
    AI recommended (in order):
    1. Dask Distributed
    2. Ray
    3. Apache Spark (PySpark)
    4. Celery
    5. Joblib

    AI recommended 5 alternatives but never named uqfoundation/pathos. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a Python library for distributed execution of tasks with a simple map-like interface.
    you: not recommended
    AI recommended (in order):
    1. Ray
    2. Dask
    3. Joblib
    4. Celery
    5. PySpark

    AI recommended 5 alternatives but never named uqfoundation/pathos. 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 uqfoundation/pathos?
    pass
    AI named uqfoundation/pathos explicitly

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

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

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

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uqfoundation/pathos — 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