RRepoGEO

REPOGEO REPORT · LITE

TorchIO-project/torchio

Default branch main · commit 27721131 · scanned 6/27/2026, 7:17:08 PM

GitHub: 2,417 stars · 270 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)

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

AI VISIBILITY SCORE
87 /100
Healthy
Category recall
2 / 2
Avg rank #3.0 when recommended
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 TorchIO-project/torchio, 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 core value proposition in the README

    Why:

    CURRENT
    The README begins with a quote and badges.
    COPY-PASTE FIX
    Add a concise, direct opening sentence or paragraph at the very top of the README, before any quotes or badges, clearly stating: "TorchIO is a powerful Python library for efficient loading, preprocessing, and augmentation of 3D and 4D medical images, specifically designed to accelerate deep learning research and applications with PyTorch."
  • mediumcomparison#2
    Add a dedicated comparison section to the README

    Why:

    COPY-PASTE FIX
    Create a new section in the README, e.g., "Why TorchIO? (Comparison with other libraries)", that briefly highlights TorchIO's specific advantages for 3D/4D medical deep learning over general image processing tools and other medical AI frameworks.
  • lowtopics#3
    Refine topics for sharper specialization

    Why:

    CURRENT
    augmentation, data-augmentation, deep-learning, machine-learning, medical-image-analysis, medical-image-computing, medical-image-processing, python, pytorch
    COPY-PASTE FIX
    Add `3d-medical-imaging`, `4d-medical-imaging`, `medical-deep-learning`, `nifti`, `dicom` to the existing topics.

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
2 / 2
100% of queries surface TorchIO-project/torchio
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
17%
Of all named tools, what % are you?
Top rival
MONAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MONAI · recommended 2×
  2. nnU-Net · recommended 1×
  3. SimpleITK · recommended 1×
  4. OpenCV · recommended 1×
  5. scikit-image · recommended 1×
  • CATEGORY QUERY
    What are good Python libraries for medical image processing in deep learning projects?
    you: #3
    AI recommended (in order):
    1. MONAI
    2. nnU-Net
    3. TorchIO ← you
    4. SimpleITK
    5. OpenCV
    6. scikit-image
    7. Pydicom
    Show full AI answer
  • CATEGORY QUERY
    How can I perform data augmentation on medical image datasets for PyTorch AI models?
    you: #3
    AI recommended (in order):
    1. Albumentations
    2. MONAI
    3. TorchIO ← you
    4. imgaug
    5. torchvision.transforms
    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 TorchIO-project/torchio?
    pass
    AI named TorchIO-project/torchio explicitly

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

  • If a team adopts TorchIO-project/torchio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TorchIO-project/torchio 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 TorchIO-project/torchio solve, and who is the primary audience?
    pass
    AI named TorchIO-project/torchio 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 TorchIO-project/torchio. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/TorchIO-project/torchio.svg)](https://repogeo.com/en/r/TorchIO-project/torchio)
HTML
<a href="https://repogeo.com/en/r/TorchIO-project/torchio"><img src="https://repogeo.com/badge/TorchIO-project/torchio.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

TorchIO-project/torchio — 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