RRepoGEO

REPOGEO REPORT · LITE

datavane/tis

Default branch master · commit cfb54efa · scanned 6/22/2026, 1:07:25 PM

GitHub: 1,311 stars · 282 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 datavane/tis, 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
    Add a clear English positioning statement to the top of the README

    Why:

    CURRENT
    The README starts with "## Stargazers over time" followed by Chinese text.
    COPY-PASTE FIX
    TIS is an agile DataOps platform for enterprise-grade batch and stream data integration (ETL/ELT), powered by Flink, DataX, Flink-CDC, and Chunjun, featuring a user-friendly Web-UI.

## Stargazers over time

[](https://starchart.cc/qlangtech/tis-solr)

## TIS介绍
  • mediumabout#2
    Refine the repository description for explicit categorization

    Why:

    CURRENT
    Support agile DataOps Based on Flink, DataX and Flink-CDC, Chunjun with Web-UI
    COPY-PASTE FIX
    TIS is an agile DataOps platform for enterprise-grade batch and stream data integration (ETL/ELT), powered by Flink, DataX, Flink-CDC, and Chunjun, with a user-friendly Web-UI.
  • mediumtopics#3
    Expand repository topics with more specific data integration and UI terms

    Why:

    CURRENT
    cdc, chunjun, dataops, datax, etl, flink, flink-streaming, java
    COPY-PASTE FIX
    cdc, chunjun, dataops, datax, etl, flink, flink-streaming, java, data-integration, etl-tool, data-synchronization, web-ui, data-pipeline

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 datavane/tis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apache NiFi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache NiFi · recommended 1×
  2. Airbyte · recommended 1×
  3. Fivetran · recommended 1×
  4. Matillion ETL · recommended 1×
  5. Stitch Data · recommended 1×
  • CATEGORY QUERY
    How to simplify end-to-end data synchronization with a user-friendly web interface?
    you: not recommended
    AI recommended (in order):
    1. Apache NiFi
    2. Airbyte
    3. Fivetran
    4. Matillion ETL
    5. Stitch Data
    6. Prefect
    7. MuleSoft Anypoint Platform

    AI recommended 7 alternatives but never named datavane/tis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a DataOps platform for unified batch and stream data integration?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. Snowflake
    3. Confluent Platform
    4. Google Cloud Dataflow
    5. Azure Synapse Analytics
    6. Talend Data Fabric

    AI recommended 6 alternatives but never named datavane/tis. 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 datavane/tis?
    pass
    AI named datavane/tis explicitly

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

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