RRepoGEO

REPOGEO REPORT · LITE

qijianpeng/awesome-edge-computing

Default branch master · commit bb5bb460 · scanned 6/7/2026, 9:17:38 AM

GitHub: 505 stars · 85 forks

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 qijianpeng/awesome-edge-computing, 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 the README's opening to explicitly state it's a curated list

    Why:

    CURRENT
    # Awesome edge computing

⚠️Notice: All artifacts are arranged in **alphabetical order**.
    COPY-PASTE FIX
    # Awesome edge computing

This repository is a curated and comprehensive list of awesome edge computing resources, including frameworks, simulators, tools, and applications, designed for researchers and developers.

⚠️Notice: All artifacts are arranged in **alphabetical order**.
  • mediumhomepage#2
    Add the arXiv paper URL as the repository's homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2505.09995
  • lowabout#3
    Refine the 'About' description to explicitly state the target audience

    Why:

    CURRENT
    A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
    COPY-PASTE FIX
    A curated list of awesome edge computing resources, including Frameworks, Simulators, Tools, etc., for researchers, developers, and students.

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 qijianpeng/awesome-edge-computing
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
k3s-io/k3s
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. k3s-io/k3s · recommended 1×
  2. openyurtio/openyurt · recommended 1×
  3. EdgeX Foundry · recommended 1×
  4. eclipse/mosquitto · recommended 1×
  5. eclipse/ditto · recommended 1×
  • CATEGORY QUERY
    What are the best open-source frameworks and tools for edge computing development?
    you: not recommended
    AI recommended (in order):
    1. K3s (k3s-io/k3s)
    2. OpenYurt (openyurtio/openyurt)
    3. EdgeX Foundry
    4. Eclipse Mosquitto (eclipse/mosquitto)
    5. Eclipse Ditto (eclipse/ditto)
    6. Akri (project-akri/akri)
    7. Fledge (fledge-iot/fledge)
    8. Open Horizon

    AI recommended 8 alternatives but never named qijianpeng/awesome-edge-computing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive list of edge AI frameworks and simulators?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. PyTorch Mobile
    3. LibTorch
    4. OpenVINO Toolkit
    5. NVIDIA JetPack SDK
    6. TensorRT
    7. ONNX Runtime
    8. Edge Impulse
    9. Azure IoT Edge
    10. iFogSim
    11. EdgeCloudSim
    12. CloudSim Plus
    13. SimuLTE
    14. OMNeT++
    15. NS-3
    16. OpenNESS

    AI recommended 16 alternatives but never named qijianpeng/awesome-edge-computing. 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 qijianpeng/awesome-edge-computing?
    pass
    AI did not name qijianpeng/awesome-edge-computing — 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 qijianpeng/awesome-edge-computing in production, what risks or prerequisites should they evaluate first?
    pass
    AI named qijianpeng/awesome-edge-computing 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 qijianpeng/awesome-edge-computing solve, and who is the primary audience?
    pass
    AI did not name qijianpeng/awesome-edge-computing — 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?

Embed your GEO score

Drop this badge into the README of qijianpeng/awesome-edge-computing. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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qijianpeng/awesome-edge-computing — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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