RRepoGEO

REPOGEO REPORT · LITE

koide3/iridescence

Default branch master · commit b130841b · scanned 6/17/2026, 8:17:51 AM

GitHub: 506 stars · 65 forks

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 koide3/iridescence, 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
    Reposition README's opening sentence to highlight niche

    Why:

    CURRENT
    **Iridescence** is a light-weight visualization library for rapid prototyping of 3D algorithms.
    COPY-PASTE FIX
    **Iridescence** is a light-weight visualization library for rapid prototyping of **point-cloud-focused 3D algorithms**, featuring **tightly integrated Dear ImGui interfaces** for custom UI design.
  • mediumreadme#2
    Add a 'Comparison with Alternatives' section to README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

Unlike general-purpose 3D libraries such as PCL or Open3D, Iridescence focuses specifically on rapid prototyping for point-cloud-related algorithms, prioritizing ease of integration and custom UI development over comprehensive rendering features. Compared to general UI frameworks like PyQt or Matplotlib, Iridescence offers tightly integrated Dear ImGui specifically tailored for interactive 3D visualization applications.
  • lowreadme#3
    Expand 'Features' section with more specific capabilities

    Why:

    CURRENT
    ## Features

What this library provides:
- An easy-to-use 3D visualization framework (inpaticular suitable for rendering point clouds)
- Tightly integrated Dear ImGui interfaces for rapid UI design
    COPY-PASTE FIX
    ## Features

What this library provides:
- An easy-to-use 3D visualization framework, particularly suitable for real-time rendering and interactive manipulation of point clouds.
- Tightly integrated Dear ImGui interfaces for rapid custom UI design, enabling interactive control of algorithm parameters and data visualization.
- Efficient handling of large point cloud datasets.
- Tools for visualizing common 3D data structures (e.g., coordinate frames, lines, meshes).

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 koide3/iridescence
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PointCloudLibrary/pcl
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PointCloudLibrary/pcl · recommended 1×
  2. isl-org/Open3D · recommended 1×
  3. CGAL/cgal · recommended 1×
  4. opencv/opencv · recommended 1×
  5. ethz-asl/libpointmatcher · recommended 1×
  • CATEGORY QUERY
    What's a good C++ library for rapid 3D algorithm prototyping with point clouds?
    you: not recommended
    AI recommended (in order):
    1. PCL (PointCloudLibrary/pcl)
    2. Open3D (isl-org/Open3D)
    3. CGAL (CGAL/cgal)
    4. OpenCV (opencv/opencv)
    5. libpointmatcher (ethz-asl/libpointmatcher)

    AI recommended 5 alternatives but never named koide3/iridescence. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I quickly build custom UIs for my 3D visualization applications in Python?
    you: not recommended
    AI recommended (in order):
    1. PyQt
    2. PySide
    3. Matplotlib (matplotlib/matplotlib)
    4. VisPy (vispy/vispy)
    5. PyVista (pyvista/pyvista)
    6. PyQtGraph (pyqtgraph/pyqtgraph)
    7. Streamlit (streamlit/streamlit)
    8. Plotly Express (plotly/plotly.py)
    9. Altair (altair-viz/altair)
    10. Three.js (mrdoob/three.js)
    11. Dash (plotly/dash)
    12. Plotly.js (plotly/plotly.js)
    13. Kivy (kivy/kivy)
    14. Tkinter

    AI recommended 14 alternatives but never named koide3/iridescence. 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 koide3/iridescence?
    pass
    AI named koide3/iridescence explicitly

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

  • If a team adopts koide3/iridescence in production, what risks or prerequisites should they evaluate first?
    pass
    AI named koide3/iridescence 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 koide3/iridescence solve, and who is the primary audience?
    pass
    AI named koide3/iridescence explicitly

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

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koide3/iridescence — 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