RRepoGEO

REPOGEO REPORT · LITE

ml-tooling/best-of-jupyter

Default branch main · commit dd6d2074 · scanned 5/22/2026, 6:53:07 PM

GitHub: 1,206 stars · 92 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
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 ml-tooling/best-of-jupyter, 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's opening statement to emphasize discovery

    Why:

    CURRENT
    <p align="center"><strong>🏆&nbsp; A ranked list of awesome Jupyter projects. Updated weekly.</strong></p>
    COPY-PASTE FIX
    <p align="center"><strong>🏆&nbsp; The definitive resource for discovering and evaluating top-tier Jupyter Notebook, Hub, and Lab projects (extensions, kernels, tools). Updated weekly.</strong></p>
  • mediumhomepage#2
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://best-of.org
  • lowreadme#3
    Clarify the H1 to emphasize 'catalog' or 'list'

    Why:

    CURRENT
    <h1 align="center">Best-of Jupyter<br></h1>
    COPY-PASTE FIX
    <h1 align="center">Best-of Jupyter: A Curated Catalog of Projects<br></h1>

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 ml-tooling/best-of-jupyter
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
JupyterLab Git
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. JupyterLab Git · recommended 1×
  2. nbdime · recommended 1×
  3. JupyterLab LSP · recommended 1×
  4. JupyterLab Drawio · recommended 1×
  5. JupyterLab-TensorBoard · recommended 1×
  • CATEGORY QUERY
    What are the best Jupyter Lab extensions for machine learning workflows?
    you: not recommended
    AI recommended (in order):
    1. JupyterLab Git
    2. nbdime
    3. JupyterLab LSP
    4. JupyterLab Drawio
    5. JupyterLab-TensorBoard
    6. JupyterLab-plotly
    7. JupyterLab-toc

    AI recommended 7 alternatives but never named ml-tooling/best-of-jupyter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find highly-rated tools and extensions for the Jupyter ecosystem?
    you: not recommended
    AI recommended (in order):
    1. JupyterLab
    2. nbextensions
    3. Table of Contents (2)
    4. Collapsible Headings
    5. Hinterland
    6. ExecuteTime
    7. Code prettify
    8. ipyleaflet
    9. folium
    10. ipywidgets
    11. Voilà
    12. Plotly Express
    13. Plotly.py
    14. Altair
    15. Bokeh
    16. nbtutor

    AI recommended 16 alternatives but never named ml-tooling/best-of-jupyter. 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 ml-tooling/best-of-jupyter?
    pass
    AI named ml-tooling/best-of-jupyter explicitly

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

  • If a team adopts ml-tooling/best-of-jupyter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ml-tooling/best-of-jupyter 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 ml-tooling/best-of-jupyter solve, and who is the primary audience?
    pass
    AI did not name ml-tooling/best-of-jupyter — 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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ml-tooling/best-of-jupyter — 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