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
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highreadme#1Reposition README's opening statement to emphasize discovery
Why:
CURRENT<p align="center"><strong>🏆 A ranked list of awesome Jupyter projects. Updated weekly.</strong></p>
COPY-PASTE FIX<p align="center"><strong>🏆 The definitive resource for discovering and evaluating top-tier Jupyter Notebook, Hub, and Lab projects (extensions, kernels, tools). Updated weekly.</strong></p>
- mediumhomepage#2Add homepage URL to About section
Why:
COPY-PASTE FIXhttps://best-of.org
- lowreadme#3Clarify 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.
- JupyterLab Git · recommended 1×
- nbdime · recommended 1×
- JupyterLab LSP · recommended 1×
- JupyterLab Drawio · recommended 1×
- JupyterLab-TensorBoard · recommended 1×
- CATEGORY QUERYWhat are the best Jupyter Lab extensions for machine learning workflows?you: not recommendedAI recommended (in order):
- JupyterLab Git
- nbdime
- JupyterLab LSP
- JupyterLab Drawio
- JupyterLab-TensorBoard
- JupyterLab-plotly
- 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 QUERYWhere can I find highly-rated tools and extensions for the Jupyter ecosystem?you: not recommendedAI recommended (in order):
- JupyterLab
- nbextensions
- Table of Contents (2)
- Collapsible Headings
- Hinterland
- ExecuteTime
- Code prettify
- ipyleaflet
- folium
- ipywidgets
- Voilà
- Plotly Express
- Plotly.py
- Altair
- Bokeh
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
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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