RRepoGEO

REPOGEO REPORT · LITE

lmcinnes/umap

Default branch master · commit d055285d · scanned 5/25/2026, 10:12:07 PM

GitHub: 8,188 stars · 862 forks

AI VISIBILITY SCORE
92 /100
Healthy
Category recall
2 / 2
Avg rank #1.0 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 lmcinnes/umap, 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
  • mediumtopics#1
    Add more descriptive topics to the repository

    Why:

    CURRENT
    dimensionality-reduction, machine-learning, topological-data-analysis, umap, visualization
    COPY-PASTE FIX
    dimensionality-reduction, machine-learning, topological-data-analysis, umap, visualization, data-science, python, data-visualization, manifold-learning
  • mediumabout#2
    Expand the repository description for broader understanding

    Why:

    CURRENT
    Uniform Manifold Approximation and Projection
    COPY-PASTE FIX
    Uniform Manifold Approximation and Projection (UMAP) for visualizing and exploring high-dimensional data.
  • lowreadme#3
    Complete the JOSS paper badge link in README

    Why:

    CURRENT
    .. |joss_paper| image::
    COPY-PASTE FIX
    Complete the `image::` directive for `|joss_paper|` with the correct JOSS paper badge URL.

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 lmcinnes/umap
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
10%
Of all named tools, what % are you?
Top rival
t-SNE
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. t-SNE · recommended 1×
  2. umap-learn · recommended 1×
  3. scikit-learn · recommended 1×
  4. PCA · recommended 1×
  5. Isomap · recommended 1×
  • CATEGORY QUERY
    How to reduce high-dimensional data for better visualization and pattern discovery?
    you: #1
    AI recommended (in order):
    1. UMAP ← you
    2. t-SNE
    3. umap-learn
    4. scikit-learn
    5. PCA
    6. Isomap
    7. MDS
    8. Factor Analysis
    9. statsmodels
    10. Autoencoders
    11. TensorFlow
    12. PyTorch
    Show full AI answer
  • CATEGORY QUERY
    What are good alternatives to t-SNE for visualizing complex high-dimensional datasets?
    you: #1
    AI recommended (in order):
    1. UMAP ← you
    2. PaCMAP
    3. LargeVis
    4. TriMAP
    5. PHATE
    6. IVIS
    7. OpenOrd
    8. Fruchterman-Reingold
    9. Kamada-Kawai
    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 lmcinnes/umap?
    pass
    AI named lmcinnes/umap explicitly

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

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