RRepoGEO

REPOGEO REPORT · LITE

mito-ds/mito

Default branch dev · commit 1dde8037 · scanned 5/22/2026, 6:57:05 PM

GitHub: 2,634 stars · 207 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
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 mito-ds/mito, 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
  • hightopics#1
    Add specific topics for AI code generation and debugging in Jupyter

    Why:

    CURRENT
    ai, data, data-analysis, data-science, data-visualization, jupyter, jupyterhub, jupyterlab, jupyterlab-extension, pandas, python, streamlit-component
    COPY-PASTE FIX
    ai, ai-code-generation, ai-debugging, jupyter, jupyter-ai, jupyterlab-extension, data-analysis, data-science, pandas, python, streamlit-component, data, data-visualization, jupyterhub
  • mediumlicense#2
    Add a clear statement about the project's license(s) to the README

    Why:

    COPY-PASTE FIX
    Mito is licensed under [Specify License Name(s) here, e.g., a custom license, or a combination of licenses]. Please see the LICENSE file for full details.
  • mediumreadme#3
    Strengthen the README's opening to emphasize interactive spreadsheet and AI for data analysis

    Why:

    CURRENT
    <p align="center"> Jupyter extensions that make you work faster. </p>
Mito is a set of Jupyter extensions desgined to help you write Python code faster.
    COPY-PASTE FIX
    <p align="center"> Jupyter extensions for interactive data analysis with AI chat, autocomplete, and a powerful spreadsheet interface. </p>
Mito is a set of Jupyter extensions designed to help data professionals write Python code faster by combining a spreadsheet-like GUI for data manipulation with context-aware AI assistance.

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 mito-ds/mito
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. jupyterlab/jupyter-ai · recommended 1×
  3. Tabnine · recommended 1×
  4. Codeium · recommended 1×
  5. Amazon CodeWhisperer · recommended 1×
  • CATEGORY QUERY
    How can I get AI code suggestions and debugging help directly within Jupyter notebooks?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Jupyter AI (jupyterlab/jupyter-ai)
    3. Tabnine
    4. Codeium
    5. Amazon CodeWhisperer

    AI recommended 5 alternatives but never named mito-ds/mito. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide an interactive spreadsheet interface in Jupyter for data analysis, generating Python?
    you: not recommended
    AI recommended (in order):
    1. Mito (MitoSheets)
    2. JupyterLab Desktop
    3. ipysheet
    4. Qgrid
    5. Perspective
    6. Tabloo

    AI recommended 6 alternatives but never named mito-ds/mito. This is the gap to close.

    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 mito-ds/mito?
    pass
    AI named mito-ds/mito explicitly

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

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

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

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mito-ds/mito — 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