RRepoGEO

REPOGEO REPORT · LITE

logpai/logparser

Default branch main · commit d9d41807 · scanned 5/14/2026, 4:57:02 AM

GitHub: 1,969 stars · 581 forks

AI VISIBILITY SCORE
73 /100
Needs work
Category recall
2 / 2
Avg rank #6.0 when recommended
Rule findings
1 pass · 1 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 logpai/logparser, 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
  • highhomepage#1
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/logpai/logparser
  • highreadme#2
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [License Name(s) or description, e.g., 'a custom license combining Apache 2.0 and MIT terms']. See the [LICENSE.md](LICENSE.md) file for full details.
  • highreadme#3
    Refine README opening to emphasize 'ML library/toolkit' over 'platform'

    Why:

    CURRENT
    Logparser provides a machine learning toolkit and benchmarks for automated log parsing, which is a crucial step for structured log analytics.
    COPY-PASTE FIX
    Logparser is a comprehensive **Python library and machine learning toolkit** providing benchmarks and algorithms for automated log parsing. It is designed for researchers and developers to extract event templates from unstructured logs, serving as a crucial component for structured log analytics, rather than a full log management platform.

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
2 / 2
100% of queries surface logpai/logparser
Avg rank
#6.0
Lower is better. #1 = top recommendation.
Share of voice
22%
Of all named tools, what % are you?
Top rival
AEL
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AEL · recommended 1×
  2. MoLFI · recommended 1×
  3. ELP · recommended 1×
  4. elastic/logstash · recommended 1×
  5. Elastic Stack · recommended 1×
  • CATEGORY QUERY
    How can I automatically extract structured event templates from raw, unstructured log messages?
    you: #1
    AI recommended (in order):
    1. Drain (logpai/logparser) ← you
    2. Spell (logpai/logparser) ← you
    3. AEL
    4. LogCluster (logpai/logparser) ← you
    5. MoLFI
    6. ELP
    7. Grok (elastic/logstash)
    Show full AI answer
  • CATEGORY QUERY
    Seeking a machine learning library to convert messy log data into structured formats for analysis.
    you: #11
    AI recommended (in order):
    1. Elastic Stack
    2. Logstash
    3. Elasticsearch
    4. Kibana
    5. Splunk
    6. Apache NiFi
    7. Fluentd
    8. Fluent Bit
    9. Pandas
    10. Go-grok
    11. Logparser ← you
    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 logpai/logparser?
    pass
    AI named logpai/logparser explicitly

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

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

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

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logpai/logparser — 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