RRepoGEO

REPOGEO REPORT · LITE

seandavi/awesome-single-cell

Default branch master · commit 21901133 · scanned 5/14/2026, 6:56:35 PM

GitHub: 3,734 stars · 1,075 forks

AI VISIBILITY SCORE
22 /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
1 / 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 seandavi/awesome-single-cell, 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 opening sentence to clarify "awesome list" nature

    Why:

    CURRENT
    List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
    COPY-PASTE FIX
    A community-curated awesome list of software packages and data resources for single-cell data analysis, including RNA-seq, ATAC-seq, and spatial transcriptomics. This repository helps researchers discover and compare leading methods and tools.
  • mediumhomepage#2
    Add a Homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    Set the repository homepage to `https://fbnrst.github.io/awesome-single-cell-stars/` (or another relevant project page if preferred).
  • lowreadme#3
    Add a 'Why this list?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example: '## Why this list? Navigating the rapidly expanding landscape of single-cell analysis tools can be challenging. This awesome list provides a community-curated, regularly updated, and categorized collection of software packages and data resources, helping researchers quickly find and evaluate relevant methods for their specific single-cell genomics needs.'

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 seandavi/awesome-single-cell
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
satijalab/seurat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. satijalab/seurat · recommended 1×
  2. scverse/scanpy · recommended 1×
  3. GreenleafLab/ArchR · recommended 1×
  4. Cell Ranger · recommended 1×
  5. cole-trapnell-lab/monocle3 · recommended 1×
  • CATEGORY QUERY
    Seeking resources for single-cell RNA-seq and ATAC-seq data processing and analysis.
    you: not recommended
    AI recommended (in order):
    1. Seurat (satijalab/seurat)
    2. Scanpy (scverse/scanpy)
    3. ArchR (GreenleafLab/ArchR)
    4. Cell Ranger
    5. Monocle 3 (cole-trapnell-lab/monocle3)
    6. SnapATAC (r3fang/SnapATAC)
    7. Signac (satijalab/signac)

    AI recommended 7 alternatives but never named seandavi/awesome-single-cell. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the leading software packages for single-cell genomics data visualization and clustering?
    you: not recommended
    AI recommended (in order):
    1. Seurat
    2. Scanpy
    3. Loupe Browser
    4. Monocle 3
    5. SPRING
    6. Partek Flow
    7. Cytoscape

    AI recommended 7 alternatives but never named seandavi/awesome-single-cell. 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 seandavi/awesome-single-cell?
    pass
    AI did not name seandavi/awesome-single-cell — 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 seandavi/awesome-single-cell in production, what risks or prerequisites should they evaluate first?
    pass
    AI named seandavi/awesome-single-cell 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 seandavi/awesome-single-cell solve, and who is the primary audience?
    pass
    AI did not name seandavi/awesome-single-cell — 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?

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  • Brand-free category queries5 vs 2 in Lite
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