RRepoGEO

REPOGEO REPORT · LITE

1nchaos/adata

Default branch main · commit b14f4e57 · scanned 5/11/2026, 2:11:33 AM

GitHub: 4,469 stars · 599 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 1nchaos/adata, 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
    Reposition the README H1 to clearly state its purpose

    Why:

    CURRENT
    # AData
    COPY-PASTE FIX
    # AData: 免费开源A股量化交易数据库 (Free Open-Source A-share Quant Trading Database)
  • mediumabout#2
    Add a concise English summary to the 'About' description

    Why:

    CURRENT
    免费开源A股量化交易数据库； 专注A股，专注量化，向阳而生； 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生，保卫3000点，珍惜底部机会......【股票数据，股票行情数据，股票量化数据，股票交易数据，k线行情数据，股票概念数据，股票数据接口，行情数据接口，量化交易数据】【多数据源融合，动态设置代理，保障数据高可用性】
    COPY-PASTE FIX
    AData is a free, open-source database and Python SDK for A-share (Chinese stock market) quantitative trading data, offering high-availability market data, K-line data, and trading interfaces for individual quant investors. 免费开源A股量化交易数据库。
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, titled "与同类项目的比较 (Comparison with Alternatives)" or "Why AData?", that briefly outlines how AData compares to Tushare, AkShare, BaoStock, etc., focusing on its strengths (e.g., multi-source fusion, high availability, focus on individual quant investors).

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 1nchaos/adata
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
WindPy
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. WindPy · recommended 2×
  2. jqdatasdk · recommended 2×
  3. Tushare · recommended 1×
  4. AkShare · recommended 1×
  5. BaoStock · recommended 1×
  • CATEGORY QUERY
    Need an open-source solution for A-share stock market data for quantitative trading.
    you: not recommended
    AI recommended (in order):
    1. Tushare
    2. AkShare
    3. BaoStock
    4. QuantConnect
    5. WindPy
    6. jqdatasdk

    AI recommended 6 alternatives but never named 1nchaos/adata. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library to access high-availability Chinese stock data for financial analysis.
    you: not recommended
    AI recommended (in order):
    1. Tushare (waditu/tushare)
    2. BaoStock (baostock/baostock)
    3. AkShare (akfamily/akshare)
    4. WindPy
    5. jqdatasdk
    6. Quantopian (quantopian/zipline)
    7. yfinance (ranaroussi/yfinance)

    AI recommended 7 alternatives but never named 1nchaos/adata. 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 1nchaos/adata?
    pass
    AI named 1nchaos/adata explicitly

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

  • If a team adopts 1nchaos/adata in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 1nchaos/adata 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 1nchaos/adata solve, and who is the primary audience?
    pass
    AI named 1nchaos/adata explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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