RRepoGEO

REPOGEO REPORT · LITE

vitoplantamura/OnnxStream

Default branch master · commit 9f546390 · scanned 5/11/2026, 6:06:49 PM

GitHub: 2,075 stars · 93 forks

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 vitoplantamura/OnnxStream, 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 paragraph to highlight core differentiator

    Why:

    CURRENT
    # OnnxStream

The challenge is to run Stable Diffusion 1.5...
    COPY-PASTE FIX
    # OnnxStream: Lightweight ONNX Inference for Extreme Edge & Embedded Systems

OnnxStream is a lightweight inference library for ONNX files, written in C++, designed for extreme resource-constrained environments. It can run Stable Diffusion XL 1.0 on a Raspberry Pi Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. It supports ARM, x86, WASM, and RISC-V, and is accelerated by XNNPACK. Python, C#, and JS (WASM) bindings are available.
  • mediumtopics#2
    Add more specific topics for edge/embedded AI

    Why:

    CURRENT
    llama, machine-learning, mistral, onnx, raspberry-pi, stable-diffusion, tinyml, wasm, webassembly, whisper, yolov8
    COPY-PASTE FIX
    llama, machine-learning, mistral, onnx, raspberry-pi, stable-diffusion, tinyml, wasm, webassembly, whisper, yolov8, embedded, edge-ai, microcontrollers
  • lowreadme#3
    Clarify license terms in the README

    Why:

    COPY-PASTE FIX
    ## License

OnnxStream is licensed under [State the specific license(s) here, e.g., 'a custom license combining X and Y' or 'the terms outlined in the LICENSE file']. Please refer to the LICENSE file for full details.

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 vitoplantamura/OnnxStream
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Lite
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Lite · recommended 2×
  2. ONNX Runtime · recommended 2×
  3. MNN · recommended 2×
  4. NCNN · recommended 1×
  5. TNN · recommended 1×
  • CATEGORY QUERY
    Seeking a lightweight inference library for complex AI models on resource-constrained hardware.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. ONNX Runtime
    3. NCNN
    4. MNN
    5. TNN
    6. OpenVINO Toolkit

    AI recommended 6 alternatives but never named vitoplantamura/OnnxStream. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good options for deploying AI models with C++, Python, and WebAssembly support?
    you: not recommended
    AI recommended (in order):
    1. ONNX Runtime
    2. OpenVINO
    3. TensorFlow Lite
    4. PyTorch Mobile
    5. TVM
    6. MNN
    7. WebNN API

    AI recommended 7 alternatives but never named vitoplantamura/OnnxStream. 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 vitoplantamura/OnnxStream?
    pass
    AI named vitoplantamura/OnnxStream explicitly

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

  • If a team adopts vitoplantamura/OnnxStream in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vitoplantamura/OnnxStream 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 vitoplantamura/OnnxStream solve, and who is the primary audience?
    pass
    AI named vitoplantamura/OnnxStream 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 vitoplantamura/OnnxStream. 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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vitoplantamura/OnnxStream — 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