RRepoGEO

REPOGEO REPORT · LITE

Psy-Fer/kuva

Default branch main · commit ad124016 · scanned 6/5/2026, 2:21:56 PM

GitHub: 766 stars · 32 forks

AI VISIBILITY SCORE
35 /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
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 Psy-Fer/kuva, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening statement to clarify core purpose

    Why:

    CURRENT
    A scientific plotting library in Rust. 60 plot types, SVG output, optional PNG/PDF backends, and a CLI binary that renders plots directly from the shell — including in the terminal itself.
    COPY-PASTE FIX
    kuva is a comprehensive scientific plotting library for Rust, designed for generating high-quality data visualizations. It offers 60 plot types, flexible SVG, PNG, and PDF output options, and a powerful CLI for direct rendering, even within the terminal.
  • mediumreadme#2
    Add a 'Why kuva?' or 'Key Features' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why choose kuva?
kuva stands out as a scientific plotting library for Rust due to its extensive feature set and flexibility. Unlike many alternatives, kuva offers a robust collection of 60 distinct plot types, ensuring a wide range of visualization needs are met. Its native support for SVG, with optional high-quality PNG and PDF backends, guarantees publication-ready output. Furthermore, the integrated CLI binary allows for direct plot rendering from the command line, including unique support for in-terminal visualizations, streamlining workflows for developers and researchers alike.

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 Psy-Fer/kuva
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Plotters
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Plotters · recommended 2×
  2. Chart.rs · recommended 2×
  3. Plotly.rs · recommended 1×
  4. Echarts.rs · recommended 1×
  5. Gnuplot-rs · recommended 1×
  • CATEGORY QUERY
    What Rust libraries are available for creating scientific data visualizations and plots?
    you: not recommended
    AI recommended (in order):
    1. Plotly.rs
    2. Plotters
    3. Echarts.rs
    4. Gnuplot-rs
    5. Chart.rs

    AI recommended 5 alternatives but never named Psy-Fer/kuva. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to generate publication-quality plots from Rust code with SVG, PNG, or PDF output?
    you: not recommended
    AI recommended (in order):
    1. Plotters
    2. Chart.rs
    3. Gnuplot
    4. gnuplot-rs
    5. Matplotlib
    6. pyo3
    7. Cairo
    8. cairo-rs

    AI recommended 8 alternatives but never named Psy-Fer/kuva. 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 Psy-Fer/kuva?
    pass
    AI named Psy-Fer/kuva explicitly

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

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

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

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Psy-Fer/kuva — 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