RRepoGEO

REPOGEO REPORT · LITE

yzslab/gaussian-splatting-lightning

Default branch main · commit ebc2e448 · scanned 5/28/2026, 4:07:10 AM

GitHub: 1,074 stars · 84 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 yzslab/gaussian-splatting-lightning, 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 GitHub topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    3d-gaussian-splatting, pytorch-lightning, neural-rendering, 3d-reconstruction, computer-vision, novel-view-synthesis, deep-learning, real-time-rendering
  • highreadme#2
    Add a clear positioning statement to the README's opening

    Why:

    COPY-PASTE FIX
    After the main title, add: 'This repository offers a robust and extensible PyTorch Lightning framework for 3D Gaussian Splatting, specifically designed for researchers and developers focused on novel view synthesis and 3D scene reconstruction.'
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, e.g., '## License
This project is licensed under the terms specified in the `LICENSE` file. Please refer to that file for full details on usage and distribution.'

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 yzslab/gaussian-splatting-lightning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity · recommended 1×
  2. Unreal Engine · recommended 1×
  3. Blender · recommended 1×
  4. Autodesk Maya · recommended 1×
  5. SketchUp · recommended 1×
  • CATEGORY QUERY
    What are effective methods for generating and interactively viewing 3D scene representations?
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. Unreal Engine
    3. Blender
    4. Autodesk Maya
    5. SketchUp
    6. Three.js
    7. Babylon.js
    8. A-Frame
    9. SolidWorks
    10. AutoCAD
    11. Fusion 360
    12. VTK
    13. ParaView

    AI recommended 13 alternatives but never named yzslab/gaussian-splatting-lightning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a performant PyTorch framework for scalable 3D scene reconstruction with multi-GPU support.
    you: not recommended
    AI recommended (in order):
    1. PyTorch3D
    2. Kaolin
    3. Open3D
    4. MONAI
    5. Neuralangelo

    AI recommended 5 alternatives but never named yzslab/gaussian-splatting-lightning. 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 yzslab/gaussian-splatting-lightning?
    pass
    AI did not name yzslab/gaussian-splatting-lightning — 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 yzslab/gaussian-splatting-lightning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yzslab/gaussian-splatting-lightning 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 yzslab/gaussian-splatting-lightning solve, and who is the primary audience?
    pass
    AI did not name yzslab/gaussian-splatting-lightning — 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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yzslab/gaussian-splatting-lightning — 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