RRepoGEO

REPOGEO REPORT · LITE

kakoni/awesome-healthcare

Default branch master · commit c7991386 · scanned 5/29/2026, 10:28:10 AM

GitHub: 3,793 stars · 520 forks

AI VISIBILITY SCORE
28 /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
2 / 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 kakoni/awesome-healthcare, 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 to clearly state it's a list

    Why:

    CURRENT
    # Awesome Health
    COPY-PASTE FIX
    # Awesome Healthcare: A Curated List of Open Source Software, Libraries, Tools, and Resources
  • highhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/kakoni/awesome-healthcare
  • mediumtopics#3
    Expand repository topics with specific healthcare tech terms

    Why:

    CURRENT
    awesome, awesome-list, health, list
    COPY-PASTE FIX
    awesome, awesome-list, health, healthcare, open-source, software, tools, libraries, ehr, telemedicine, medical-imaging, bioinformatics, digital-health, hospital-management

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 kakoni/awesome-healthcare
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openemr/openemr
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openemr/openemr · recommended 1×
  2. frappe/erpnext · recommended 1×
  3. HospitalRun/hospitalrun-frontend · recommended 1×
  4. DCMTK · recommended 1×
  5. OHIF/Viewers · recommended 1×
  • CATEGORY QUERY
    What open source resources and tools are available for healthcare software development?
    you: not recommended
    AI recommended (in order):
    1. OpenEMR (openemr/openemr)
    2. ERPNext (frappe/erpnext)
    3. HospitalRun (HospitalRun/hospitalrun-frontend)
    4. DCMTK
    5. OHIF Viewer (OHIF/Viewers)
    6. 3D Slicer (Slicer/Slicer)
    7. HAPI FHIR (hapifhir/hapi-fhir)
    8. Mirth Connect (nextgenhealthcare/connect)
    9. Apache Camel (apache/camel)
    10. SciPy (scipy/scipy)
    11. NumPy (numpy/numpy)
    12. Pandas (pandas-dev/pandas)
    13. TensorFlow (tensorflow/tensorflow)
    14. PyTorch (pytorch/pytorch)
    15. R
    16. OpenSSL (openssl/openssl)
    17. Keycloak (keycloak/keycloak)

    AI recommended 17 alternatives but never named kakoni/awesome-healthcare. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find active open source projects for EHR, telemedicine, or medical imaging?
    you: not recommended
    AI recommended (in order):
    1. OpenEMR
    2. Bahmni
    3. OpenMRS
    4. GNU Health
    5. Open TeleHealth
    6. Jitsi Meet
    7. Medplum
    8. 3D Slicer
    9. OHIF Viewer
    10. ITK (Insight Segmentation and Registration Toolkit)
    11. DICOMweb-server

    AI recommended 11 alternatives but never named kakoni/awesome-healthcare. 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 kakoni/awesome-healthcare?
    pass
    AI did not name kakoni/awesome-healthcare — 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 kakoni/awesome-healthcare in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kakoni/awesome-healthcare 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 kakoni/awesome-healthcare solve, and who is the primary audience?
    pass
    AI named kakoni/awesome-healthcare 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 kakoni/awesome-healthcare. 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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HTML
<a href="https://repogeo.com/en/r/kakoni/awesome-healthcare"><img src="https://repogeo.com/badge/kakoni/awesome-healthcare.svg" alt="RepoGEO" /></a>
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kakoni/awesome-healthcare — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite