RRepoGEO

REPOGEO REPORT · LITE

ANTsX/ANTs

Default branch main · commit d2fbf8bd · scanned 6/22/2026, 12:06:48 AM

GitHub: 1,478 stars · 404 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
56 /100
Needs work
Category recall
1 / 2
Avg rank #5.0 when recommended
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 ANTsX/ANTs, 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
  • highhomepage#1
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://antsx.github.io/ANTs/
  • hightopics#2
    Expand topics to include Python and neuroimaging analysis specifics

    Why:

    CURRENT
    image-registration, image-segmentation, medical-image-processing, neuroimaging
    COPY-PASTE FIX
    image-registration, image-segmentation, medical-image-processing, neuroimaging, python, python-library, neuroimaging-analysis, brain-mapping
  • mediumreadme#3
    Integrate Python/R interfaces into the README's opening description

    Why:

    CURRENT
    **Advanced Normalization Tools (ANTs)** is a C++ library available through the command line that computes high-dimensional mappings to capture the statistics of brain structure and function. It allows one to organize, visualize and statistically explore large biomedical image sets. Additionally, it integrates imaging modalities in space + time and works across species or organ systems with minimal customization.
    COPY-PASTE FIX
    **Advanced Normalization Tools (ANTs)** is a state-of-the-art toolkit for medical image registration and segmentation, available as a C++ library and through robust R (ANTsR, ANTsRNet) and Python (ANTsPy, ANTsPyNet) interfaces. It computes high-dimensional mappings to capture the statistics of brain structure and function, enabling organization, visualization, and statistical exploration of large biomedical image sets across species or organ systems.

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
1 / 2
50% of queries surface ANTsX/ANTs
Avg rank
#5.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
FSL
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. FSL · recommended 2×
  2. 3D Slicer · recommended 1×
  3. ITK · recommended 1×
  4. SimpleITK · recommended 1×
  5. MONAI · recommended 1×
  • CATEGORY QUERY
    What are the best tools for high-dimensional medical image registration and segmentation?
    you: #5
    AI recommended (in order):
    1. 3D Slicer
    2. ITK
    3. SimpleITK
    4. MONAI
    5. ANTs ← you
    6. FSL
    7. MIRT
    Show full AI answer
  • CATEGORY QUERY
    How can I perform advanced neuroimaging analysis using Python for brain structure mapping?
    you: not recommended
    AI recommended (in order):
    1. NiBabel
    2. nilearn
    3. FreeSurfer
    4. DIPY
    5. PyTorch
    6. TensorFlow
    7. FSL
    8. fslpy
    9. nipype
    10. SciPy
    11. NumPy
    12. Matplotlib

    AI recommended 12 alternatives but never named ANTsX/ANTs. 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 ANTsX/ANTs?
    pass
    AI named ANTsX/ANTs explicitly

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

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