RRepoGEO

REPOGEO REPORT · LITE

SeldonIO/alibi

Default branch master · commit 99c3421d · scanned 5/20/2026, 6:16:39 AM

GitHub: 2,627 stars · 264 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 SeldonIO/alibi, 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
    Strengthen README opening to emphasize core interpretability

    Why:

    CURRENT
    Alibi is a source-available Python library aimed at machine learning model inspection and interpretation.
    COPY-PASTE FIX
    Alibi is a leading open-source Python library for **machine learning model interpretability and explanation (XAI)**. It provides high-quality implementations of state-of-the-art black-box, white-box, local, and global explanation methods for classification and regression models, including techniques like Anchors and Integrated Gradients.
  • mediumlicense#2
    Clarify license details in README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README: "Alibi is licensed under [Specify License Name(s) here, e.g., Apache 2.0 and MIT]. See the [LICENSE](LICENSE) file for full details."
  • lowtopics#3
    Add specific interpretability methods to topics

    Why:

    CURRENT
    counterfactual, explanations, interpretability, machine-learning, xai
    COPY-PASTE FIX
    counterfactual, explanations, interpretability, machine-learning, xai, anchor-explanations, integrated-gradients

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 SeldonIO/alibi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LIME
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LIME · recommended 1×
  2. SHAP · recommended 1×
  3. ELI5 · recommended 1×
  4. InterpretML · recommended 1×
  5. Alibi Explain · recommended 1×
  • CATEGORY QUERY
    How can I understand why my machine learning model made a specific prediction?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What Python libraries help generate black-box explanations for AI model outcomes?
    you: not recommended
    AI recommended (in order):
    1. LIME
    2. SHAP
    3. ELI5
    4. InterpretML
    5. Alibi Explain

    AI recommended 5 alternatives but never named SeldonIO/alibi. 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 SeldonIO/alibi?
    pass
    AI named SeldonIO/alibi explicitly

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

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

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

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SeldonIO/alibi — 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