RRepoGEO

REPOGEO REPORT · LITE

aloneguid/parquet-dotnet

Default branch master · commit 0b86ddb3 · scanned 6/2/2026, 8:16:59 AM

GitHub: 882 stars · 186 forks

AI VISIBILITY SCORE
62 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 aloneguid/parquet-dotnet, 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
    Explicitly state the project's common name (Parquet.Net) in the README's opening.

    Why:

    CURRENT
    # Apache Parquet for .NET
    COPY-PASTE FIX
    # Parquet.Net: Apache Parquet for .NET
  • mediumhomepage#2
    Add a homepage URL to the repository metadata.

    Why:

    COPY-PASTE FIX
    https://www.nuget.org/packages/Parquet.Net
  • lowtopics#3
    Refine topics to focus on library function and remove policy tags.

    Why:

    CURRENT
    apache-parquet, apache-spark, dotnet, dotnet-core, dotnet-standard, ios, linux, no-ai, no-ai-allowed, windows, xamarin, xbox
    COPY-PASTE FIX
    apache-parquet, dotnet, dotnet-core, dotnet-standard, parquet-reader, parquet-writer, data-serialization, columnar-data, csharp, cross-platform, ios, linux, windows, xamarin, xbox

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
1 / 2
50% of queries surface aloneguid/parquet-dotnet
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
13%
Of all named tools, what % are you?
Top rival
apache/arrow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/arrow · recommended 2×
  2. standalone-io/Parquet.Net · recommended 1×
  3. G-Research/ParquetSharp · recommended 1×
  4. nreco/parquet · recommended 1×
  5. microsoft/Microsoft.Data.Parquet · recommended 1×
  • CATEGORY QUERY
    How to efficiently read and write Apache Parquet files in a .NET application?
    you: not recommended
    AI recommended (in order):
    1. Parquet.Net (standalone-io/Parquet.Net)
    2. Apache Arrow (apache/arrow)
    3. ParquetSharp (G-Research/ParquetSharp)
    4. NReco.Parquet (nreco/parquet)

    AI recommended 4 alternatives but never named aloneguid/parquet-dotnet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a fast, fully managed library for Apache Parquet data processing across .NET platforms.
    you: #1
    AI recommended (in order):
    1. Parquet.Net (aloneguid/parquet-dotnet) ← you
    2. Apache Arrow (via Arrow.NET) (apache/arrow)
    3. Microsoft.Data.Parquet (microsoft/Microsoft.Data.Parquet)
    4. NReco.Parquet (nreco/NReco.Parquet)
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 aloneguid/parquet-dotnet?
    pass
    AI named aloneguid/parquet-dotnet explicitly

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

  • If a team adopts aloneguid/parquet-dotnet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aloneguid/parquet-dotnet 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 aloneguid/parquet-dotnet solve, and who is the primary audience?
    pass
    AI did not name aloneguid/parquet-dotnet — likely talking about a different project

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

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MARKDOWN (README)
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aloneguid/parquet-dotnet — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite