REPOGEO REPORT · LITE

ZhangGe6/onnx-modifier

Default branch master · commit eb13b352 · scanned 6/24/2026, 1:58:07 PM

GitHub: 1,631 stars · 199 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

35 /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

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 ZhangGe6/onnx-modifier, 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 introduction to emphasize interactive visual editing

Why:

CURRENT

To edit an ONNX model, one common way is to visualize the model graph, and edit it using ONNX Python API. This works fine. However, we have to code to edit, then visualize to check. The two processes may iterate for many times, which is time-consuming. 👋 What if we have a tool, which allows us to **edit and preview the editing effect in a totally visualization fashion**? Then `onnx-modifier` comes.

COPY-PASTE FIX

👋 **onnx-modifier** is an interactive, visual editor for ONNX models, allowing you to modify model graphs directly in a Netron-like interface without writing extensive code. Unlike simple viewers or programmatic APIs, `onnx-modifier` lets you **edit and preview changes in a totally visualization fashion**, saving time by eliminating the code-edit-visualize loop. 🚀

mediumtopics#2

Add more specific topics for interactive and no-code editing

Why:

CURRENT

edit, editor, onnx, visualization, visualize

COPY-PASTE FIX

edit, editor, onnx, visualization, visualize, no-code, interactive, model-editor, deep-learning-tool, graph-editor

lowhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/ZhangGe6/onnx-modifier
```

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 ZhangGe6/onnx-modifier

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

lutzroeder/Netron

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

lutzroeder/Netron · recommended 2×
microsoft/onnxruntime · recommended 2×
NVIDIA/TensorRT · recommended 2×
tensorflow/tensorboard · recommended 2×
graphviz/graphviz · recommended 1×

CATEGORY QUERY
How can I visually modify ONNX neural network models without writing extensive code?
you: not recommended
AI recommended (in order):
1. Netron (lutzroeder/Netron)
2. ONNX Runtime (microsoft/onnxruntime)
3. graphviz (graphviz/graphviz)
4. matplotlib (matplotlib/matplotlib)
5. ONNX GraphSurgeon (NVIDIA/TensorRT)
6. TensorFlow (tensorflow/tensorflow)
7. TensorBoard (tensorflow/tensorboard)
8. PyTorch (pytorch/pytorch)
9. ONNX.js (microsoft/onnxjs)
AI recommended 9 alternatives but never named ZhangGe6/onnx-modifier. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for an interactive tool to edit ONNX model graphs and preview structural changes.
you: not recommended
AI recommended (in order):
1. Netron (lutzroeder/Netron)
2. ONNX Runtime (microsoft/onnxruntime)
3. ONNX GraphSurgeon (NVIDIA/TensorRT)
4. Visual Studio Code (microsoft/vscode)
5. TensorBoard (tensorflow/tensorboard)
6. onnx library (onnx/onnx)
AI recommended 6 alternatives but never named ZhangGe6/onnx-modifier. 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 ZhangGe6/onnx-modifier?
pass
AI named ZhangGe6/onnx-modifier explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ZhangGe6/onnx-modifier in production, what risks or prerequisites should they evaluate first?
pass
AI named ZhangGe6/onnx-modifier 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 ZhangGe6/onnx-modifier solve, and who is the primary audience?
pass
AI named ZhangGe6/onnx-modifier explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/ZhangGe6/onnx-modifier.svg)](https://repogeo.com/en/r/ZhangGe6/onnx-modifier)

HTML

<a href="https://repogeo.com/en/r/ZhangGe6/onnx-modifier"><img src="https://repogeo.com/badge/ZhangGe6/onnx-modifier.svg" alt="RepoGEO" /></a>

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ZhangGe6/onnx-modifier — 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