RRepoGEO

REPOGEO REPORT · LITE

pydn/ComfyUI-to-Python-Extension

Default branch main · commit 6cdcc235 · scanned 6/26/2026, 8:56:59 PM

GitHub: 2,354 stars · 208 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 pydn/ComfyUI-to-Python-Extension, 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 opening to emphasize ComfyUI automation for developers

    Why:

    CURRENT
    Build a workflow in ComfyUI, then walk away with runnable Python.
    
    `ComfyUI-to-Python-Extension` turns visual workflows into executable scripts so you can move from node graphs to automation, experiments, and repeatable generation without rebuilding everything by hand.
    COPY-PASTE FIX
    Build a workflow in ComfyUI, then walk away with runnable Python for programmatic control and automation.
    
    `ComfyUI-to-Python-Extension` empowers developers to transform visual ComfyUI workflows into robust, executable Python scripts, enabling seamless integration into larger systems, advanced experimentation, and repeatable, code-driven generation.
  • mediumtopics#2
    Add more specific topics for ComfyUI workflow automation

    Why:

    CURRENT
    ai-art, comfyui, generative-art, image-generation, pytorch, stable-diffusion
    COPY-PASTE FIX
    ai-art, comfyui, generative-art, image-generation, pytorch, stable-diffusion, comfyui-extension, workflow-automation, python-scripting, code-generation
  • lowreadme#3
    Add a 'Key Features' section to explicitly state differentiators

    Why:

    COPY-PASTE FIX
    ## Key Features
    
    - **Workflow-to-Code Conversion:** Directly translates ComfyUI visual workflows into runnable Python scripts.
    - **Automation & Integration:** Enables programmatic control and seamless integration of ComfyUI processes into larger Python applications.
    - **Developer-Centric:** Designed for developers and researchers seeking to automate, experiment, and version-control their generative AI workflows.

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 pydn/ComfyUI-to-Python-Extension
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ComfyUI/ComfyUI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ComfyUI/ComfyUI · recommended 1×
  2. PyFlow/PyFlow · recommended 1×
  3. node-red/node-red · recommended 1×
  4. blender/blender · recommended 1×
  5. sverchok/sverchok · recommended 1×
  • CATEGORY QUERY
    How to export visual AI art workflows from a node editor into executable Python scripts?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI (ComfyUI/ComfyUI)
    2. PyFlow (PyFlow/PyFlow)
    3. Node-RED (node-red/node-red)
    4. Blender (blender/blender)
    5. Sverchok (sverchok/sverchok)
    6. Animation Nodes (JacquesLucke/animation_nodes)
    7. networkx (networkx/networkx)

    AI recommended 7 alternatives but never named pydn/ComfyUI-to-Python-Extension. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a way to programmatically control generative image models designed in a GUI.
    you: not recommended
    AI recommended (in order):
    1. AUTOMATIC1111/stable-diffusion-webui (AUTOMATIC1111/stable-diffusion-webui)
    2. ComfyUI
    3. Hugging Face Diffusers Library
    4. InvokeAI
    5. DreamStudio
    6. Midjourney
    7. DALL-E 3

    AI recommended 7 alternatives but never named pydn/ComfyUI-to-Python-Extension. 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 pydn/ComfyUI-to-Python-Extension?
    pass
    AI did not name pydn/ComfyUI-to-Python-Extension — 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 pydn/ComfyUI-to-Python-Extension in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pydn/ComfyUI-to-Python-Extension 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 pydn/ComfyUI-to-Python-Extension solve, and who is the primary audience?
    pass
    AI did not name pydn/ComfyUI-to-Python-Extension — 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?

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pydn/ComfyUI-to-Python-Extension — 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