RRepoGEO

REPOGEO REPORT · LITE

ricklamers/gpt-code-ui

Default branch main · commit 82dbd1dc · scanned 5/14/2026, 7:08:22 AM

GitHub: 3,552 stars · 431 forks

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 ricklamers/gpt-code-ui, 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 more specific topics to improve categorization

    Why:

    CURRENT
    chatgpt, gpt, llms, openai
    COPY-PASTE FIX
    chatgpt, gpt, llms, openai, code-interpreter, web-ui, python-sandbox, ai-coding-assistant, interactive-ai
  • highreadme#2
    Strengthen README's opening to clarify unique positioning

    Why:

    CURRENT
    An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you.
    COPY-PASTE FIX
    An open-source, self-hostable web UI that replicates OpenAI's ChatGPT Code Interpreter experience. It allows you to interactively ask an OpenAI model to generate and execute Python code in a sandboxed environment, complete with file upload and download capabilities, making it an ideal alternative for local development.
  • mediumcomparison#3
    Add a README section differentiating from common alternatives

    Why:

    COPY-PASTE FIX
    ## Why gpt-code-ui? (vs. Open Interpreter, AutoGPT, etc.)

While tools like Open Interpreter provide powerful programmatic access to code execution, `gpt-code-ui` focuses on providing a complete, interactive web user interface for a sandboxed code interpreter, similar to ChatGPT's Advanced Data Analysis, optimized for ease of use and self-hosting.

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 ricklamers/gpt-code-ui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 2×
  2. langchain-ai/langchain · recommended 2×
  3. Significant-Gravitas/AutoGPT · recommended 2×
  4. OpenInterpreter/OpenInterpreter · recommended 1×
  5. Continue-team/continue · recommended 1×
  • CATEGORY QUERY
    How to build a local AI assistant that generates and executes Python code?
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter (OpenInterpreter/OpenInterpreter)
    2. Continue.dev (Continue-team/continue)
    3. LlamaIndex (run-llama/llama_index)
    4. Llama 3
    5. Ollama (ollama/ollama)
    6. LangChain (langchain-ai/langchain)
    7. AutoGPT (Significant-Gravitas/AutoGPT)

    AI recommended 7 alternatives but never named ricklamers/gpt-code-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source alternative to OpenAI's code interpreter for local development.
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter (KillianLucas/open-interpreter)
    2. AutoGPT (Significant-Gravitas/AutoGPT)
    3. AgentGPT (reworkd/AgentGPT)
    4. SuperAGI (TransformerOptimus/SuperAGI)
    5. LangChain (langchain-ai/langchain)
    6. Llama 2
    7. Mistral
    8. Ollama (ollama/ollama)
    9. transformers (huggingface/transformers)
    10. Jupyter Notebooks
    11. JupyterLab
    12. VS Code (microsoft/vscode)
    13. GitHub Copilot
    14. Code Llama

    AI recommended 14 alternatives but never named ricklamers/gpt-code-ui. 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 ricklamers/gpt-code-ui?
    pass
    AI did not name ricklamers/gpt-code-ui — 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 ricklamers/gpt-code-ui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ricklamers/gpt-code-ui 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 ricklamers/gpt-code-ui solve, and who is the primary audience?
    pass
    AI named ricklamers/gpt-code-ui explicitly

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

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ricklamers/gpt-code-ui — 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
ricklamers/gpt-code-ui — RepoGEO report