RRepoGEO

REPOGEO REPORT · LITE

e-tornike/best-of-ml-rust

Default branch main · commit f1e6dc14 · scanned 6/15/2026, 3:31:57 PM

GitHub: 504 stars · 23 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 e-tornike/best-of-ml-rust, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    awesome-list, machine-learning, rust, ml-libraries, curated-list, ranking, best-of
  • highabout#2
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/e-tornike/best-of-ml-rust
  • mediumabout#3
    Refine the About section description to emphasize its discovery purpose

    Why:

    CURRENT
    🏆 A ranked list of awesome machine learning Rust libraries.
    COPY-PASTE FIX
    🏆 Discover and compare the best machine learning Rust libraries with this ranked, curated list.

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 e-tornike/best-of-ml-rust
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tch-rs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tch-rs · recommended 2×
  2. linfa · recommended 2×
  3. smartcore · recommended 2×
  4. rust-bert · recommended 2×
  5. tract · recommended 2×
  • CATEGORY QUERY
    What are the best machine learning frameworks and libraries available for Rust development?
    you: not recommended
    AI recommended (in order):
    1. tch-rs
    2. dfdx
    3. candle
    4. linfa
    5. smartcore
    6. rust-bert
    7. tract

    AI recommended 7 alternatives but never named e-tornike/best-of-ml-rust. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a ranked list of high-quality machine learning libraries in Rust?
    you: not recommended
    AI recommended (in order):
    1. tch-rs
    2. ndarray-linalg
    3. ndarray
    4. linfa
    5. rust-bert
    6. smartcore
    7. candle (huggingface/candle)
    8. tract
    9. Are we learning yet?

    AI recommended 9 alternatives but never named e-tornike/best-of-ml-rust. This is the gap to close.

    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 e-tornike/best-of-ml-rust?
    pass
    AI did not name e-tornike/best-of-ml-rust — 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?

  • If a team adopts e-tornike/best-of-ml-rust in production, what risks or prerequisites should they evaluate first?
    pass
    AI named e-tornike/best-of-ml-rust 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 e-tornike/best-of-ml-rust solve, and who is the primary audience?
    pass
    AI did not name e-tornike/best-of-ml-rust — 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?

Embed your GEO score

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e-tornike/best-of-ml-rust — 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