RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/pytorch3d

Default branch main · commit c307c64c · scanned 5/25/2026, 12:31:37 AM

GitHub: 9,883 stars · 1,457 forks

AI VISIBILITY SCORE
81 /100
Healthy
Category recall
2 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 facebookresearch/pytorch3d, 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
    pytorch, 3d, computer-vision, deep-learning, mesh, differentiable-rendering, graphics, neural-networks, fair-research
  • mediumreadme#2
    Explicitly state the core differentiator in the README introduction

    Why:

    CURRENT
    PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch.
    COPY-PASTE FIX
    PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch, uniquely offering **differentiable 3D operations and rendering** tightly integrated within the **PyTorch deep learning framework**.
  • lowreadme#3
    Clarify the non-standard nature of the BSD license in the README

    Why:

    CURRENT
    PyTorch3D is released under the [BSD License](LICENSE).
    COPY-PASTE FIX
    PyTorch3D is released under the [BSD License](LICENSE). This is a custom BSD-style license; please refer to the LICENSE file for full details.

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
2 / 2
100% of queries surface facebookresearch/pytorch3d
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
17%
Of all named tools, what % are you?
Top rival
isl-org/Open3D
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. isl-org/Open3D · recommended 1×
  2. NVIDIA/Kaolin · recommended 1×
  3. marcomusy/vedo · recommended 1×
  4. mikedh/trimesh · recommended 1×
  5. tensorflow/graphics · recommended 1×
  • CATEGORY QUERY
    What are the best Python libraries for deep learning with 3D mesh data?
    you: #1
    AI recommended (in order):
    1. PyTorch3D (facebookresearch/pytorch3d) ← you
    2. Open3D (isl-org/Open3D)
    3. Kaolin (NVIDIA/Kaolin)
    4. vedo (marcomusy/vedo)
    5. trimesh (mikedh/trimesh)
    6. TensorFlow Graphics (tensorflow/graphics)
    Show full AI answer
  • CATEGORY QUERY
    Seeking a differentiable 3D rendering engine for integrating into neural network architectures.
    you: #1
    AI recommended (in order):
    1. PyTorch3D ← you
    2. Kaolin
    3. Differentiable Renderer (DR)
    4. OpenDR (Open Differentiable Renderer)
    5. tiny-differentiable-renderer
    6. Nvdiffrast
    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 facebookresearch/pytorch3d?
    pass
    AI did not name facebookresearch/pytorch3d — 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 facebookresearch/pytorch3d in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/pytorch3d 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 facebookresearch/pytorch3d solve, and who is the primary audience?
    pass
    AI named facebookresearch/pytorch3d explicitly

    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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MARKDOWN (README)
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facebookresearch/pytorch3d — 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