RRepoGEO

REPOGEO REPORT · LITE

ducklelabs/duckle

Default branch main · commit 2e62b46b · scanned 6/18/2026, 3:26:59 PM

GitHub: 545 stars · 31 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 ducklelabs/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
  • highreadme#1
    Clarify project identity in README's opening statement

    Why:

    CURRENT
    The local-first data studio with a built-in AI assistant. Duckle is an open-source desktop ETL / ELT studio.
    COPY-PASTE FIX
    Duckle is a local-first ETL/ELT studio: a drag-and-drop visual pipeline designer that compiles to SQL and runs on DuckDB. It's a tiny desktop app with no servers, offering git-friendly workspaces and a built-in AI assistant.
  • mediumtopics#2
    Add more specific, solution-oriented 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, 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, vector-database, visual-etl, no-code-etl, low-code-etl, offline-etl, sql-generator, data-studio
  • lowreadme#3
    Add a clear statement about project maturity in the README

    Why:

    COPY-PASTE FIX
    Duckle is currently in active development (e.g., Beta / Early Access / Production-ready, choose one) and we welcome contributions and feedback.

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 ducklelabs/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. Apache NiFi · recommended 1×
  3. Pentaho Data Integration (Kettle) · recommended 1×
  4. KNIME Analytics Platform · recommended 1×
  5. RapidMiner Studio · recommended 1×
  • CATEGORY QUERY
    How to build data pipelines visually without cloud dependencies or servers?
    you: not recommended
    AI recommended (in order):
    1. Apache NiFi
    2. Pentaho Data Integration (Kettle)
    3. Talend Open Studio for Data Integration
    4. KNIME Analytics Platform
    5. RapidMiner Studio
    6. SSIS (SQL Server Integration Services)

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a desktop ETL tool that generates SQL and uses an embedded database.
    you: not recommended
    AI recommended (in order):
    1. Talend Open Studio for Data Integration
    2. Pentaho Data Integration (Kettle) (pentaho/pentaho-kettle)
    3. CloverETL Designer (Community Edition) (cloveretl/cloveretl)
    4. Apache Nifi (apache/nifi)
    5. DBConvert Studio / DBSync for SQLite
    6. Hevo Data (Local Agent)

    AI recommended 6 alternatives but never named ducklelabs/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 ducklelabs/duckle?
    pass
    AI named ducklelabs/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 ducklelabs/duckle in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ducklelabs/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 ducklelabs/duckle solve, and who is the primary audience?
    pass
    AI named ducklelabs/duckle 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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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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