RRepoGEO

REPOGEO REPORT · LITE

slothflowlabs/duckle

Default branch main · commit 1c3e603e · scanned 6/20/2026, 1:17:21 AM

GitHub: 556 stars · 34 forks

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 slothflowlabs/duckle, 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
    Remove `vector-database` topic

    Why:

    CURRENT
    data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop, duckdb, elt, embedded, etl, local-first, react, rust, sql, tauri, typescript, vector-database
    COPY-PASTE FIX
    data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop, duckdb, elt, embedded, etl, local-first, react, rust, sql, tauri, typescript
  • hightopics#2
    Add `visual-etl` and `visual-elt` topics

    Why:

    CURRENT
    data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop, duckdb, elt, embedded, etl, local-first, react, rust, sql, tauri, typescript
    COPY-PASTE FIX
    data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop, duckdb, elt, embedded, etl, local-first, react, rust, sql, tauri, typescript, visual-etl, visual-elt
  • mediumreadme#3
    Explicitly add "visual" to the README's opening sentence

    Why:

    CURRENT
    Duckle is an open-source desktop ETL / ELT studio. Drag a pipeline onto the canvas, describe what you need in plain English to Duckie (the on-device AI assistant), and execute at native speed through DuckDB.
    COPY-PASTE FIX
    Duckle is an open-source, visual desktop ETL / ELT studio. Drag-and-drop pipelines onto the canvas, describe what you need in plain English to Duckie (the on-device AI assistant), and execute at native speed through DuckDB.

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 slothflowlabs/duckle
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Talend Open Studio for Data Integration
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Talend Open Studio for Data Integration · recommended 2×
  2. RapidMiner Studio · recommended 2×
  3. apache/nifi · recommended 1×
  4. knime/knime-core · recommended 1×
  5. pentaho/pentaho-kettle · recommended 1×
  • CATEGORY QUERY
    Looking for a local-first desktop application for visual ETL/ELT data pipeline design.
    you: not recommended
    AI recommended (in order):
    1. Apache NiFi (apache/nifi)
    2. KNIME Analytics Platform (knime/knime-core)
    3. Pentaho Data Integration (Kettle) (pentaho/pentaho-kettle)
    4. Talend Open Studio for Data Integration
    5. Microsoft SQL Server Integration Services (SSIS) - Data Tools
    6. RapidMiner Studio

    AI recommended 6 alternatives but never named slothflowlabs/duckle. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Visual ETL tool with an embedded AI assistant for local data transformations?
    you: not recommended
    AI recommended (in order):
    1. Dataiku DSS
    2. KNIME Analytics Platform
    3. Microsoft Power Query
    4. Alteryx Designer
    5. RapidMiner Studio
    6. Apache Hop
    7. Talend Open Studio for Data Integration

    AI recommended 7 alternatives but never named slothflowlabs/duckle. 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 slothflowlabs/duckle?
    pass
    AI named slothflowlabs/duckle explicitly

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

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

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

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slothflowlabs/duckle — RepoGEO report