RRepoGEO

REPOGEO REPORT · LITE

knownsec/aipyapp

Default branch main · commit 49086c0f · scanned 5/18/2026, 12:52:05 AM

GitHub: 3,964 stars · 397 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
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 knownsec/aipyapp, 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 to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, llm-agents, python-llm, task-automation, ai-framework, code-generation, interpreter-integration
  • highreadme#2
    Reposition the README's opening sentence to clearly state its role

    Why:

    CURRENT
    Python-Use is a task-driven, result-oriented intelligent execution paradigm. It tightly integrates LLMs with a Python interpreter to establish a complete loop:
    COPY-PASTE FIX
    Python-Use is an AI agent framework that tightly integrates Large Language Models (LLMs) with a full Python execution environment, enabling task-driven, result-oriented automation through a complete loop:
  • mediumlicense#3
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under the terms described in the [LICENSE](LICENSE) file. Please refer to that file for full details on the applicable license(s).

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 knownsec/aipyapp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. Significant-Gravitas/AutoGPT · recommended 1×
  4. yoheinakajima/babyagi · recommended 1×
  5. OpenAI Function Calling · recommended 1×
  • CATEGORY QUERY
    How to enable LLMs to directly execute Python code for complex task automation?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. AutoGPT (Significant-Gravitas/AutoGPT)
    4. BabyAGI (yoheinakajima/babyagi)
    5. OpenAI Function Calling
    6. Hugging Face Transformers Agents (huggingface/transformers)
    7. Microsoft Guidance (microsoft/guidance)

    AI recommended 7 alternatives but never named knownsec/aipyapp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI agent framework for Python that integrates LLMs with a full execution environment.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGPT
    5. AgentGPT
    6. BabyAGI
    7. Haystack
    8. Transformers Agents (Hugging Face)

    AI recommended 8 alternatives but never named knownsec/aipyapp. 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 knownsec/aipyapp?
    pass
    AI named knownsec/aipyapp explicitly

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

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

Subscribe to Pro for deep diagnoses

knownsec/aipyapp — 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