RRepoGEO

REPOGEO REPORT · LITE

shroominic/codeinterpreter-api

Default branch main · commit 9482d36f · scanned 6/28/2026, 7:26:38 PM

GitHub: 3,847 stars · 389 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 shroominic/codeinterpreter-api, 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 sentence to clarify its role for AI agents.

    Why:

    CURRENT
    # 👾 Code Interpreter API
    
    A LangChain implementation of the ChatGPT Code Interpreter.
    COPY-PASTE FIX
    # 👾 Code Interpreter API: Sandboxed Python for AI Agents
    
    An open-source, self-hostable API that brings ChatGPT-like sandboxed Python code execution to your AI agent applications, built with LangChain.
  • mediumtopics#2
    Add more specific topics related to AI agents and LLM applications.

    Why:

    CURRENT
    chatgpt, chatgpt-code-generation, code-interpreter, codeinterpreter, langchain, llm-agent
    COPY-PASTE FIX
    chatgpt, chatgpt-code-generation, code-interpreter, codeinterpreter, langchain, llm-agent, ai-agents, llm-apps, generative-ai, python-api
  • lowreadme#3
    Add a 'Why not X?' or 'Comparison' section to clarify its unique positioning.

    Why:

    COPY-PASTE FIX
    ## Why Code Interpreter API?
    
    Unlike general-purpose container runtimes like Docker or gVisor, `codeinterpreter-api` is specifically designed as an API for integrating sandboxed Python execution into AI agent applications. While ChatGPT Plus offers a similar end-user experience, this project provides the open-source, self-hostable building blocks for developers to create their own.

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 shroominic/codeinterpreter-api
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 1×
  2. Podman · recommended 1×
  3. gVisor · recommended 1×
  4. Firecracker · recommended 1×
  5. RestrictedPython · recommended 1×
  • CATEGORY QUERY
    How to integrate secure Python code execution for AI agent applications?
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Podman
    3. gVisor
    4. Firecracker
    5. RestrictedPython
    6. Pysandbox
    7. Jailkit

    AI recommended 7 alternatives but never named shroominic/codeinterpreter-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for AI to analyze data, generate charts, and manipulate images from text and files?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Plus / ChatGPT Enterprise
    2. Google Gemini Advanced
    3. Microsoft Copilot Pro
    4. Python
    5. Pandas
    6. Matplotlib
    7. Seaborn
    8. Pillow
    9. OpenCV
    10. Transformers
    11. LangChain
    12. Scikit-learn
    13. Tableau CRM / Einstein Analytics
    14. Power BI

    AI recommended 14 alternatives but never named shroominic/codeinterpreter-api. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 shroominic/codeinterpreter-api?
    pass
    AI named shroominic/codeinterpreter-api explicitly

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

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

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

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MARKDOWN (README)
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shroominic/codeinterpreter-api — 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