RRepoGEO

REPOGEO REPORT · LITE

Kanaries/Rath

Default branch master · commit a237499b · scanned 5/19/2026, 11:12:05 AM

GitHub: 4,650 stars · 381 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 Kanaries/Rath, 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
    Rephrase README introduction to emphasize augmented analytics and causal discovery first

    Why:

    CURRENT
    RATH is not just an open-source alternative to Data Analysis and Visualization tools such as Tableau, but it automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals and presents those insights with powerful auto-generated multi-dimensional data visualization.
    COPY-PASTE FIX
    RATH is an open-source augmented analytics platform that automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, and causal relationships. It presents these insights with powerful auto-generated multi-dimensional data visualizations, serving as a next-generation alternative to tools like Tableau.
  • mediumabout#2
    Refine the repository description to highlight augmented analytics and causal discovery

    Why:

    CURRENT
    Next generation of automated data exploratory analysis and visualization platform.
    COPY-PASTE FIX
    An open-source augmented analytics platform for automated data exploration, causal discovery, and multi-dimensional visualization.
  • lowtopics#3
    Remove irrelevant topic 'k6s'

    Why:

    CURRENT
    augmented-analytics, automated-data-analysis, automated-visualization, autovis, causal-discovery, causal-inference, causality, data-analysis, data-exploration, data-visualization, datamining, eda, k6s, kanaries, machine-learning, tableau, tableau-alternative, visualization
    COPY-PASTE FIX
    augmented-analytics, automated-data-analysis, automated-visualization, autovis, causal-discovery, causal-inference, causality, data-analysis, data-exploration, data-visualization, datamining, eda, kanaries, machine-learning, tableau, tableau-alternative, visualization

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 Kanaries/Rath
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 1×
  2. Jupyter Notebook/Lab · recommended 1×
  3. Pandas Profiling · recommended 1×
  4. Apache Superset · recommended 1×
  5. Grafana · recommended 1×
  • CATEGORY QUERY
    What open-source tools automate data exploration and generate multi-dimensional visualizations?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Jupyter Notebook/Lab
    3. Pandas Profiling
    4. Apache Superset
    5. Grafana
    6. Dash by Plotly

    AI recommended 6 alternatives but never named Kanaries/Rath. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an augmented analytics platform to discover causal relationships and visualize data insights.
    you: not recommended
    AI recommended (in order):
    1. Causal AI
    2. DataRobot
    3. H2O Driverless AI
    4. ThoughtSpot
    5. Qlik Sense
    6. Tableau
    7. Sisense

    AI recommended 7 alternatives but never named Kanaries/Rath. 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 Kanaries/Rath?
    pass
    AI named Kanaries/Rath explicitly

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

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